diff --git a/README.md b/README.md
index 157d94dd..381a0aa4 100644
--- a/README.md
+++ b/README.md
@@ -55,18 +55,18 @@ This curated list contains 720 awesome open-source projects with a total of 2.7M
- [Others](#others) _34 projects_
## Explanation
-- π₯π₯π₯ Combined project-quality score
-- βοΈ Star count from Github
-- π£ New project _(less than 6 month old)_
-- π€ Inactive project _(6 month no activity)_
-- π Dead project _(12 month no activity)_
-- βοΈ Warning _(e.g. missing/risky license)_
-- π¨βπ» Contributors count from Github
-- π Fork count from Github
-- π Issue count from Github
-- β±οΈ Last update timestamp on package manager
-- π₯ Download count from package manager
-- π¦ Number of dependent projects
+- π₯π₯π₯ Combined project-quality score
+- βοΈ Star count from Github
+- π£ New project _(less than 6 month old)_
+- π€ Inactive project _(6 month no activity)_
+- π Dead project _(12 month no activity)_
+- βοΈ Warning _(e.g. missing/risky license)_
+- π¨βπ» Contributors count from Github
+- π Fork count from Github
+- π Issue count from Github
+- β±οΈ Last update timestamp on package manager
+- π₯ Download count from package manager
+- π¦ Number of dependent projects
@@ -78,17 +78,17 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (π₯44 Β· β 150K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
-- **[GitHub](https://github.com/tensorflow/tensorflow)** (π¨βπ» 3.5K Β· π 83K Β· π¦ 110K Β· π 29K - 14% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 3.5K Β· π 83K Β· π¦ 110K Β· π 30K - 14% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/tensorflow/tensorflow
```
-- **[PyPi](https://pypi.org/project/tensorflow)** (π₯ 8.8M / month Β· π¦ 23K Β· β±οΈ 14.12.2020):
+- [PyPi](https://pypi.org/project/tensorflow) (π₯ 8.6M / month Β· π¦ 23K Β· β±οΈ 14.12.2020):
```
pip install tensorflow
```
-- **[Conda](https://anaconda.org/anaconda/tensorflow)** (β±οΈ 02.11.2020):
+- [Conda](https://anaconda.org/anaconda/tensorflow) (β±οΈ 02.11.2020):
```
conda install -c anaconda tensorflow
@@ -96,30 +96,30 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (π₯41 Β· β 43K) - scikit-learn: machine learning in Python. BSD-3 
-- **[GitHub](https://github.com/scikit-learn/scikit-learn)** (π¨βπ» 2.1K Β· π 21K Β· π₯ 610 Β· π¦ 170K Β· π 8.9K - 25% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 2.1K Β· π 21K Β· π₯ 610 Β· π¦ 170K Β· π 8.9K - 25% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/scikit-learn/scikit-learn
```
-- **[PyPi](https://pypi.org/project/scikit-learn)** (π₯ 10M / month Β· π¦ 38K Β· β±οΈ 02.12.2020):
+- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 10M / month Β· π¦ 38K Β· β±οΈ 02.12.2020):
```
pip install scikit-learn
```
-- **[Conda](https://anaconda.org/anaconda/scikit-learn)** (β±οΈ 01.11.2020):
+- [Conda](https://anaconda.org/anaconda/scikit-learn) (β±οΈ 01.11.2020):
```
conda install -c anaconda scikit-learn
```
PyTorch (π₯39 Β· β 45K) - Tensors and Dynamic neural networks in Python with strong GPU acceleration. BSD-3 
+PyTorch (π₯39 Β· β 45K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3
-- **[GitHub](https://github.com/pytorch/pytorch)** (π¨βπ» 2.4K Β· π 11K Β· π¦ 55K Β· π 19K - 36% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 2.4K Β· π 11K Β· π¦ 55K Β· π 19K - 36% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/pytorch/pytorch
```
-- **[PyPi](https://pypi.org/project/torch)** (π₯ 1.7M / month Β· π¦ 6.7K Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/torch) (π₯ 1.7M / month Β· π¦ 6.7K Β· β±οΈ 10.12.2020):
```
pip install torch
@@ -127,12 +127,12 @@ _General-purpose machine learning and deep learning frameworks._
PySpark (π₯38 Β· β 28K) - Apache Spark Python API. Apache-2 
-- **[GitHub](https://github.com/apache/spark)** (π¨βπ» 2.4K Β· π 23K Β· π¦ 510 Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/apache/spark) (π¨βπ» 2.4K Β· π 23K Β· π¦ 510 Β· β±οΈ 16.12.2020):
```
git clone https://github.com/apache/spark
```
-- **[PyPi](https://pypi.org/project/pyspark)** (π₯ 7.1M / month Β· π¦ 760 Β· β±οΈ 07.09.2020):
+- [PyPi](https://pypi.org/project/pyspark) (π₯ 6.9M / month Β· π¦ 760 Β· β±οΈ 07.09.2020):
```
pip install pyspark
@@ -140,17 +140,17 @@ _General-purpose machine learning and deep learning frameworks._
StatsModels (π₯36 Β· β 5.8K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-- **[GitHub](https://github.com/statsmodels/statsmodels)** (π¨βπ» 300 Β· π 2.1K Β· π₯ 25 Β· π¦ 34K Β· π 4.3K - 47% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 300 Β· π 2.1K Β· π₯ 25 Β· π¦ 34K Β· π 4.3K - 47% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/statsmodels/statsmodels
```
-- **[PyPi](https://pypi.org/project/statsmodels)** (π₯ 2.5M / month Β· π¦ 6.7K Β· β±οΈ 29.10.2020):
+- [PyPi](https://pypi.org/project/statsmodels) (π₯ 2.4M / month Β· π¦ 6.7K Β· β±οΈ 29.10.2020):
```
pip install statsmodels
```
-- **[Conda](https://anaconda.org/anaconda/statsmodels)** (β±οΈ 02.12.2020):
+- [Conda](https://anaconda.org/anaconda/statsmodels) (β±οΈ 02.12.2020):
```
conda install -c anaconda statsmodels
@@ -158,102 +158,102 @@ _General-purpose machine learning and deep learning frameworks._
Keras (π₯35 Β· β 50K) - Deep Learning for humans. MIT 
-- **[GitHub](https://github.com/keras-team/keras)** (π¨βπ» 890 Β· π 19K Β· π 10K - 30% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 890 Β· π 19K Β· π 10K - 30% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/keras-team/keras
```
-- **[PyPi](https://pypi.org/project/keras)** (π₯ 2.1M / month Β· π¦ 15K Β· β±οΈ 24.06.2020):
+- [PyPi](https://pypi.org/project/keras) (π₯ 2.1M / month Β· π¦ 15K Β· β±οΈ 24.06.2020):
```
pip install keras
```
-- **[Conda](https://anaconda.org/anaconda/keras)** (β±οΈ 25.06.2020):
+- [Conda](https://anaconda.org/anaconda/keras) (β±οΈ 25.06.2020):
```
conda install -c anaconda keras
```
XGBoost (π₯35 Β· β 20K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM).. Apache-2
+XGBoost (π₯35 Β· β 20K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-- **[GitHub](https://github.com/dmlc/xgboost)** (π¨βπ» 500 Β· π 7.8K Β· π₯ 1.8K Β· π¦ 12K Β· π 3.9K - 6% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 500 Β· π 7.8K Β· π₯ 1.8K Β· π¦ 12K Β· π 3.9K - 6% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/dmlc/xgboost
```
-- **[PyPi](https://pypi.org/project/xgboost)** (π₯ 2.9M / month Β· π¦ 1.6K Β· β±οΈ 09.12.2020):
+- [PyPi](https://pypi.org/project/xgboost) (π₯ 2.9M / month Β· π¦ 1.6K Β· β±οΈ 09.12.2020):
```
pip install xgboost
```
LightGBM (π₯35 Β· β 12K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or.. MIT
+LightGBM (π₯35 Β· β 12K) - A fast, distributed, high performance gradient boosting (GBT, GBDT,.. MIT
-- **[GitHub](https://github.com/microsoft/LightGBM)** (π¨βπ» 190 Β· π 3.1K Β· π₯ 80K Β· π¦ 4.9K Β· π 2K - 4% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 190 Β· π 3.1K Β· π₯ 80K Β· π¦ 5K Β· π 2K - 4% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/microsoft/LightGBM
```
-- **[PyPi](https://pypi.org/project/lightgbm)** (π₯ 1.5M / month Β· π¦ 560 Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/lightgbm) (π₯ 1.5M / month Β· π¦ 560 Β· β±οΈ 08.12.2020):
```
pip install lightgbm
```
-- **[Conda](https://anaconda.org/anaconda/lightgbm)** (β±οΈ 08.12.2020):
+- [Conda](https://anaconda.org/anaconda/lightgbm) (β±οΈ 08.12.2020):
```
conda install -c anaconda lightgbm
```
MXNet (π₯34 Β· β 19K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic,.. Apache-2 
+MXNet (π₯34 Β· β 19K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2
-- **[GitHub](https://github.com/apache/incubator-mxnet)** (π¨βπ» 940 Β· π 6.8K Β· π₯ 23K Β· π¦ 1.6K Β· π 9.3K - 19% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/apache/incubator-mxnet) (π¨βπ» 940 Β· π 6.8K Β· π₯ 23K Β· π¦ 1.6K Β· π 9.3K - 19% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/apache/incubator-mxnet
```
-- **[PyPi](https://pypi.org/project/mxnet)** (π₯ 210K / month Β· π¦ 440 Β· β±οΈ 28.08.2020):
+- [PyPi](https://pypi.org/project/mxnet) (π₯ 190K / month Β· π¦ 440 Β· β±οΈ 28.08.2020):
```
pip install mxnet
```
-- **[Conda](https://anaconda.org/anaconda/mxnet)** (β±οΈ 02.08.2019):
+- [Conda](https://anaconda.org/anaconda/mxnet) (β±οΈ 02.08.2019):
```
conda install -c anaconda mxnet
```
Theano (π₯34 Β· β 9.3K) - Theano is a Python library that allows you to define, optimize, and evaluate.. BSD-3
+Theano (π₯34 Β· β 9.3K) - Theano is a Python library that allows you to define, optimize, and.. BSD-3
-- **[GitHub](https://github.com/Theano/Theano)** (π¨βπ» 380 Β· π 2.5K Β· π¦ 9.7K Β· π 2.8K - 24% open Β· β±οΈ 05.09.2020):
+- [GitHub](https://github.com/Theano/Theano) (π¨βπ» 380 Β· π 2.5K Β· π¦ 9.8K Β· π 2.8K - 24% open Β· β±οΈ 05.09.2020):
```
git clone https://github.com/Theano/Theano
```
-- **[PyPi](https://pypi.org/project/theano)** (π₯ 260K / month Β· π¦ 5.5K Β· β±οΈ 27.07.2020):
+- [PyPi](https://pypi.org/project/theano) (π₯ 250K / month Β· π¦ 5.5K Β· β±οΈ 27.07.2020):
```
pip install theano
```
-- **[Conda](https://anaconda.org/anaconda/theano)** (β±οΈ 12.09.2019):
+- [Conda](https://anaconda.org/anaconda/theano) (β±οΈ 12.09.2019):
```
conda install -c anaconda theano
```
pytorch-lightning (π₯33 Β· β 11K) - The lightweight PyTorch wrapper for high-performance AI research... Apache-2
+pytorch-lightning (π₯33 Β· β 11K) - The lightweight PyTorch wrapper for high-performance AI.. Apache-2
-- **[GitHub](https://github.com/PyTorchLightning/pytorch-lightning)** (π¨βπ» 340 Β· π 1.2K Β· π₯ 7 Β· π¦ 1.4K Β· π 2.6K - 12% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/PyTorchLightning/pytorch-lightning) (π¨βπ» 340 Β· π 1.2K Β· π₯ 10 Β· π¦ 1.4K Β· π 2.6K - 12% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/PyTorchLightning/pytorch-lightning
```
-- **[PyPi](https://pypi.org/project/pytorch-lightning)** (π₯ 110K / month Β· π¦ 14 Β· β±οΈ 12.12.2020):
+- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 110K / month Β· π¦ 14 Β· β±οΈ 15.12.2020):
```
pip install pytorch-lightning
```
-- **[Conda](https://anaconda.org/conda-forge/pytorch-lightning)**:
+- [Conda](https://anaconda.org/conda-forge/pytorch-lightning):
```
conda install -c conda-forge pytorch-lightning
@@ -261,25 +261,25 @@ _General-purpose machine learning and deep learning frameworks._
Fastai (π₯32 Β· β 20K) - The fastai deep learning library, plus lessons and tutorials. Apache-2
-- **[GitHub](https://github.com/fastai/fastai)** (π¨βπ» 470 Β· π 6.9K Β· π 1.3K - 4% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 470 Β· π 6.9K Β· π 1.3K - 4% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/fastai/fastai
```
-- **[PyPi](https://pypi.org/project/fastai)** (π₯ 120K / month Β· π¦ 370 Β· β±οΈ 13.12.2020):
+- [PyPi](https://pypi.org/project/fastai) (π₯ 120K / month Β· π¦ 370 Β· β±οΈ 13.12.2020):
```
pip install fastai
```
jax (π₯32 Β· β 11K) - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT.. Apache-2
+jax (π₯32 Β· β 11K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- **[GitHub](https://github.com/google/jax)** (π¨βπ» 240 Β· π 890 Β· π¦ 870 Β· π 2K - 34% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/google/jax) (π¨βπ» 240 Β· π 890 Β· π¦ 870 Β· π 2K - 34% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/google/jax
```
-- **[PyPi](https://pypi.org/project/jax)** (π₯ 69K / month Β· π¦ 46 Β· β±οΈ 05.12.2020):
+- [PyPi](https://pypi.org/project/jax) (π₯ 70K / month Β· π¦ 46 Β· β±οΈ 05.12.2020):
```
pip install jax
@@ -287,38 +287,38 @@ _General-purpose machine learning and deep learning frameworks._
Chainer (π₯32 Β· β 5.5K) - A flexible framework of neural networks for deep learning. MIT
-- **[GitHub](https://github.com/chainer/chainer)** (π¨βπ» 320 Β· π 1.4K Β· π¦ 1.7K Β· π 2K - 0% open Β· β±οΈ 19.11.2020):
+- [GitHub](https://github.com/chainer/chainer) (π¨βπ» 320 Β· π 1.4K Β· π¦ 1.7K Β· π 2K - 0% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/chainer/chainer
```
-- **[PyPi](https://pypi.org/project/chainer)** (π₯ 21K / month Β· π¦ 740 Β· β±οΈ 30.07.2020):
+- [PyPi](https://pypi.org/project/chainer) (π₯ 21K / month Β· π¦ 740 Β· β±οΈ 30.07.2020):
```
pip install chainer
```
Thinc (π₯32 Β· β 2.1K) - A refreshing functional take on deep learning, compatible with your favorite libraries. MIT
+Thinc (π₯32 Β· β 2.1K) - A refreshing functional take on deep learning, compatible with your.. MIT
-- **[GitHub](https://github.com/explosion/thinc)** (π¨βπ» 33 Β· π 180 Β· π¦ 10K Β· π 93 - 13% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 33 Β· π 180 Β· π¦ 10K Β· π 93 - 13% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/explosion/thinc
```
-- **[PyPi](https://pypi.org/project/thinc)** (π₯ 1M / month Β· π¦ 1.1K Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/thinc) (π₯ 990K / month Β· π¦ 1.1K Β· β±οΈ 11.12.2020):
```
pip install thinc
```
Catboost (π₯31 Β· β 5.6K) - A fast, scalable, high performance Gradient Boosting on Decision Trees.. Apache-2
+Catboost (π₯31 Β· β 5.6K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
-- **[GitHub](https://github.com/catboost/catboost)** (π¨βπ» 700 Β· π 850 Β· π₯ 45K Β· π 1.3K - 22% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 700 Β· π 850 Β· π₯ 45K Β· π 1.3K - 22% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/catboost/catboost
```
-- **[PyPi](https://pypi.org/project/catboost)** (π₯ 620K / month Β· π¦ 81 Β· β±οΈ 26.08.2020):
+- [PyPi](https://pypi.org/project/catboost) (π₯ 620K / month Β· π¦ 81 Β· β±οΈ 26.08.2020):
```
pip install catboost
@@ -326,51 +326,51 @@ _General-purpose machine learning and deep learning frameworks._
TFlearn (π₯30 Β· β 9.5K) - Deep learning library featuring a higher-level API for TensorFlow. MIT
-- **[GitHub](https://github.com/tflearn/tflearn)** (π¨βπ» 130 Β· π 2.4K Β· π¦ 2.8K Β· π 930 - 61% open Β· β±οΈ 30.11.2020):
+- [GitHub](https://github.com/tflearn/tflearn) (π¨βπ» 130 Β· π 2.4K Β· π¦ 2.8K Β· π 930 - 61% open Β· β±οΈ 30.11.2020):
```
git clone https://github.com/tflearn/tflearn
```
-- **[PyPi](https://pypi.org/project/tflearn)** (π₯ 17K / month Β· π¦ 480 Β· β±οΈ 11.11.2020):
+- [PyPi](https://pypi.org/project/tflearn) (π₯ 16K / month Β· π¦ 480 Β· β±οΈ 11.11.2020):
```
pip install tflearn
```
Vowpal Wabbit (π₯30 Β· β 7.4K) - Vowpal Wabbit is a machine learning system which pushes the frontier of.. BSD-3
+Vowpal Wabbit (π₯30 Β· β 7.4K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
-- **[GitHub](https://github.com/VowpalWabbit/vowpal_wabbit)** (π¨βπ» 300 Β· π 1.7K Β· π¦ 86 Β· π 1K - 15% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 300 Β· π 1.7K Β· π¦ 86 Β· π 1K - 15% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
-- **[PyPi](https://pypi.org/project/vowpalwabbit)** (π₯ 17K / month Β· π¦ 8 Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 17K / month Β· π¦ 8 Β· β±οΈ 12.11.2020):
```
pip install vowpalwabbit
```
PaddlePaddle (π₯29 Β· β 14K) - PArallel Distributed Deep LEarning: Machine Learning Framework from.. Apache-2 
+PaddlePaddle (π₯29 Β· β 14K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2
-- **[GitHub](https://github.com/PaddlePaddle/Paddle)** (π¨βπ» 480 Β· π 3.4K Β· π₯ 15K Β· π¦ 21 Β· π 12K - 18% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 480 Β· π 3.4K Β· π₯ 15K Β· π¦ 22 Β· π 12K - 18% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/PaddlePaddle/Paddle
```
-- **[PyPi](https://pypi.org/project/paddlepaddle)** (π₯ 7.3K / month Β· π¦ 16 Β· β±οΈ 14.12.2020):
+- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 7.1K / month Β· π¦ 16 Β· β±οΈ 14.12.2020):
```
pip install paddlepaddle
```
Turi Create (π₯29 Β· β 10K) - Turi Create simplifies the development of custom machine learning models. BSD-3
+Turi Create (π₯29 Β· β 10K) - Turi Create simplifies the development of custom machine learning.. BSD-3
-- **[GitHub](https://github.com/apple/turicreate)** (π¨βπ» 81 Β· π 1.1K Β· π₯ 3.4K Β· π¦ 220 Β· π 1.7K - 27% open Β· β±οΈ 13.10.2020):
+- [GitHub](https://github.com/apple/turicreate) (π¨βπ» 81 Β· π 1.1K Β· π₯ 3.4K Β· π¦ 220 Β· π 1.7K - 27% open Β· β±οΈ 13.10.2020):
```
git clone https://github.com/apple/turicreate
```
-- **[PyPi](https://pypi.org/project/turicreate)** (π₯ 12K / month Β· π¦ 34 Β· β±οΈ 30.09.2020):
+- [PyPi](https://pypi.org/project/turicreate) (π₯ 12K / month Β· π¦ 34 Β· β±οΈ 30.09.2020):
```
pip install turicreate
@@ -378,25 +378,25 @@ _General-purpose machine learning and deep learning frameworks._
Sonnet (π₯28 Β· β 8.7K) - TensorFlow-based neural network library. Apache-2
-- **[GitHub](https://github.com/deepmind/sonnet)** (π¨βπ» 48 Β· π 1.2K Β· π¦ 450 Β· π 150 - 10% open Β· β±οΈ 08.10.2020):
+- [GitHub](https://github.com/deepmind/sonnet) (π¨βπ» 48 Β· π 1.2K Β· π¦ 450 Β· π 150 - 10% open Β· β±οΈ 08.10.2020):
```
git clone https://github.com/deepmind/sonnet
```
-- **[PyPi](https://pypi.org/project/dm-sonnet)** (π₯ 21K / month Β· π¦ 82 Β· β±οΈ 27.03.2020):
+- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 22K / month Β· π¦ 82 Β· β±οΈ 27.03.2020):
```
pip install dm-sonnet
```
tensorpack (π₯28 Β· β 5.8K) - A Neural Net Training Interface on TensorFlow, with focus on speed +.. Apache-2
+tensorpack (π₯28 Β· β 5.9K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2
-- **[GitHub](https://github.com/tensorpack/tensorpack)** (π¨βπ» 55 Β· π 1.7K Β· π₯ 94 Β· π¦ 640 Β· π 1.3K - 0% open Β· β±οΈ 01.11.2020):
+- [GitHub](https://github.com/tensorpack/tensorpack) (π¨βπ» 55 Β· π 1.7K Β· π₯ 94 Β· π¦ 640 Β· π 1.3K - 0% open Β· β±οΈ 01.11.2020):
```
git clone https://github.com/tensorpack/tensorpack
```
-- **[PyPi](https://pypi.org/project/tensorpack)** (π₯ 8.6K / month Β· π¦ 76 Β· β±οΈ 24.04.2020):
+- [PyPi](https://pypi.org/project/tensorpack) (π₯ 8.6K / month Β· π¦ 76 Β· β±οΈ 24.04.2020):
```
pip install tensorpack
@@ -404,12 +404,12 @@ _General-purpose machine learning and deep learning frameworks._
dyNET (π₯28 Β· β 3.2K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
-- **[GitHub](https://github.com/clab/dynet)** (π¨βπ» 160 Β· π 690 Β· π₯ 1.1K Β· π¦ 160 Β· π 910 - 27% open Β· β±οΈ 22.10.2020):
+- [GitHub](https://github.com/clab/dynet) (π¨βπ» 160 Β· π 690 Β· π₯ 1.1K Β· π¦ 160 Β· π 910 - 27% open Β· β±οΈ 22.10.2020):
```
git clone https://github.com/clab/dynet
```
-- **[PyPi](https://pypi.org/project/dyNET)** (π₯ 6.5K / month Β· π¦ 38 Β· β±οΈ 21.10.2020):
+- [PyPi](https://pypi.org/project/dyNET) (π₯ 6.4K / month Β· π¦ 38 Β· β±οΈ 21.10.2020):
```
pip install dyNET
@@ -417,74 +417,74 @@ _General-purpose machine learning and deep learning frameworks._
CNTK (π₯27 Β· β 17K Β· π€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT
-- **[GitHub](https://github.com/microsoft/CNTK)** (π¨βπ» 260 Β· π 4.4K Β· π₯ 14K Β· π 3.3K - 24% open Β· β±οΈ 31.03.2020):
+- [GitHub](https://github.com/microsoft/CNTK) (π¨βπ» 260 Β· π 4.4K Β· π₯ 14K Β· π 3.3K - 24% open Β· β±οΈ 31.03.2020):
```
git clone https://github.com/microsoft/CNTK
```
-- **[PyPi](https://pypi.org/project/cntk)** (π₯ 1.8K / month Β· π¦ 17 Β· β±οΈ 09.12.2020):
+- [PyPi](https://pypi.org/project/cntk) (π₯ 1.8K / month Β· π¦ 17 Β· β±οΈ 09.12.2020):
```
pip install cntk
```
skorch (π₯27 Β· β 3.7K) - A scikit-learn compatible neural network library that wraps PyTorch. BSD-3
+skorch (π₯27 Β· β 3.7K) - A scikit-learn compatible neural network library that wraps.. BSD-3
-- **[GitHub](https://github.com/skorch-dev/skorch)** (π¨βπ» 38 Β· π 270 Β· π¦ 240 Β· π 360 - 13% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 38 Β· π 270 Β· π¦ 240 Β· π 360 - 13% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/skorch-dev/skorch
```
-- **[PyPi](https://pypi.org/project/skorch)** (π₯ 9.3K / month Β· π¦ 13 Β· β±οΈ 30.08.2020):
+- [PyPi](https://pypi.org/project/skorch) (π₯ 9.1K / month Β· π¦ 13 Β· β±οΈ 30.08.2020):
```
pip install skorch
```
-- **[Conda](https://anaconda.org/conda-forge/skorch)**:
+- [Conda](https://anaconda.org/conda-forge/skorch):
```
conda install -c conda-forge skorch
```
Ignite (π₯27 Β· β 3.2K) - High-level library to help with training and evaluating neural networks in.. BSD-3
+Ignite (π₯27 Β· β 3.2K) - High-level library to help with training and evaluating neural.. BSD-3
-- **[GitHub](https://github.com/pytorch/ignite)** (π¨βπ» 110 Β· π 400 Β· π¦ 660 Β· π 670 - 14% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 110 Β· π 400 Β· π¦ 660 Β· π 670 - 14% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/pytorch/ignite
```
-- **[PyPi](https://pypi.org/project/pytorch-ignite)** (π₯ 28K / month Β· π¦ 62 Β· β±οΈ 13.12.2020):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 28K / month Β· π¦ 62 Β· β±οΈ 13.12.2020):
```
pip install pytorch-ignite
```
-- **[Conda](https://anaconda.org/pytorch/ignite)**:
+- [Conda](https://anaconda.org/pytorch/ignite):
```
conda install -c pytorch ignite
```
Ludwig (π₯26 Β· β 7.3K) - Ludwig is a toolbox that allows to train and evaluate deep learning models.. Apache-2
+Ludwig (π₯26 Β· β 7.4K) - Ludwig is a toolbox that allows to train and evaluate deep.. Apache-2
-- **[GitHub](https://github.com/uber/ludwig)** (π¨βπ» 84 Β· π 870 Β· π¦ 71 Β· π 500 - 19% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/uber/ludwig) (π¨βπ» 84 Β· π 870 Β· π¦ 71 Β· π 500 - 19% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/uber/ludwig
```
-- **[PyPi](https://pypi.org/project/ludwig)** (π₯ 1.2K / month Β· π¦ 6 Β· β±οΈ 05.10.2020):
+- [PyPi](https://pypi.org/project/ludwig) (π₯ 1.2K / month Β· π¦ 6 Β· β±οΈ 05.10.2020):
```
pip install ludwig
```
Flax (π₯26 Β· β 1.3K) - Flax is a neural network ecosystem for JAX that is designed for flexibility. Apache-2 jax
+Flax (π₯26 Β· β 1.3K) - Flax is a neural network ecosystem for JAX that is designed for.. Apache-2 jax
-- **[GitHub](https://github.com/google/flax)** (π¨βπ» 68 Β· π 150 Β· π₯ 16 Β· π¦ 67 Β· π 210 - 53% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/google/flax) (π¨βπ» 68 Β· π 150 Β· π₯ 16 Β· π¦ 67 Β· π 210 - 53% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/google/flax
```
-- **[PyPi](https://pypi.org/project/flax)** (π₯ 49K / month Β· π¦ 3 Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/flax) (π₯ 50K / month Β· π¦ 3 Β· β±οΈ 08.12.2020):
```
pip install flax
@@ -492,12 +492,12 @@ _General-purpose machine learning and deep learning frameworks._
mlpack (π₯25 Β· β 3.5K) - mlpack: a scalable C++ machine learning library --. BSD-3
-- **[GitHub](https://github.com/mlpack/mlpack)** (π¨βπ» 260 Β· π 1.3K Β· π 1.3K - 11% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 260 Β· π 1.3K Β· π 1.3K - 11% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/mlpack/mlpack
```
-- **[PyPi](https://pypi.org/project/mlpack)** (π₯ 310 / month Β· β±οΈ 28.10.2020):
+- [PyPi](https://pypi.org/project/mlpack) (π₯ 330 / month Β· β±οΈ 28.10.2020):
```
pip install mlpack
@@ -505,59 +505,59 @@ _General-purpose machine learning and deep learning frameworks._
Neural Network Libraries (π₯25 Β· β 2.4K) - Neural Network Libraries. Apache-2
-- **[GitHub](https://github.com/sony/nnabla)** (π¨βπ» 54 Β· π 300 Β· π₯ 510 Β· π 53 - 66% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 54 Β· π 300 Β· π₯ 510 Β· π 53 - 66% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/sony/nnabla
```
-- **[PyPi](https://pypi.org/project/nnabla)** (π₯ 2.5K / month Β· π¦ 34 Β· β±οΈ 04.11.2020):
+- [PyPi](https://pypi.org/project/nnabla) (π₯ 2.7K / month Β· π¦ 34 Β· β±οΈ 04.11.2020):
```
pip install nnabla
```
ktrain (π₯25 Β· β 680) - ktrain is a Python library that makes deep learning and AI more accessible and.. Apache-2
+xLearn (π₯24 Β· β 2.8K Β· π€) - High performance, easy-to-use, and scalable machine learning.. Apache-2
-- **[GitHub](https://github.com/amaiya/ktrain)** (π¨βπ» 12 Β· π 170 Β· π¦ 110 Β· π 280 - 2% open Β· β±οΈ 08.12.2020):
+- [GitHub](https://github.com/aksnzhy/xlearn) (π¨βπ» 30 Β· π 480 Β· π₯ 2.2K Β· π¦ 38 Β· π 280 - 61% open Β· β±οΈ 03.03.2020):
```
- git clone https://github.com/amaiya/ktrain
+ git clone https://github.com/aksnzhy/xlearn
```
-- **[PyPi](https://pypi.org/project/ktrain)** (π₯ 8.3K / month Β· π¦ 1 Β· β±οΈ 05.12.2020):
+- [PyPi](https://pypi.org/project/xlearn) (π₯ 10K / month Β· π¦ 1 Β· β±οΈ 04.12.2018):
```
- pip install ktrain
+ pip install xlearn
```
xLearn (π₯24 Β· β 2.8K Β· π€) - High performance, easy-to-use, and scalable machine learning (ML) package,.. Apache-2
+ktrain (π₯24 Β· β 680) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
-- **[GitHub](https://github.com/aksnzhy/xlearn)** (π¨βπ» 30 Β· π 480 Β· π₯ 2.2K Β· π¦ 38 Β· π 280 - 61% open Β· β±οΈ 03.03.2020):
+- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 12 Β· π 170 Β· π¦ 110 Β· π 280 - 2% open Β· β±οΈ 08.12.2020):
```
- git clone https://github.com/aksnzhy/xlearn
+ git clone https://github.com/amaiya/ktrain
```
-- **[PyPi](https://pypi.org/project/xlearn)** (π₯ 10K / month Β· π¦ 1 Β· β±οΈ 04.12.2018):
+- [PyPi](https://pypi.org/project/ktrain) (π₯ 8K / month Β· π¦ 1 Β· β±οΈ 05.12.2020):
```
- pip install xlearn
+ pip install ktrain
```
einops (π₯23 Β· β 1.9K) - Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and.. MIT
+einops (π₯23 Β· β 1.9K) - Deep learning operations reinvented (for pytorch, tensorflow, chainer,.. MIT
-- **[GitHub](https://github.com/arogozhnikov/einops)** (π¨βπ» 10 Β· π 60 Β· π¦ 130 Β· π 58 - 37% open Β· β±οΈ 14.11.2020):
+- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 10 Β· π 60 Β· π¦ 140 Β· π 58 - 37% open Β· β±οΈ 14.11.2020):
```
git clone https://github.com/arogozhnikov/einops
```
-- **[PyPi](https://pypi.org/project/einops)** (π₯ 10K / month Β· π¦ 10 Β· β±οΈ 08.09.2020):
+- [PyPi](https://pypi.org/project/einops) (π₯ 10K / month Β· π¦ 10 Β· β±οΈ 08.09.2020):
```
pip install einops
```
mace (π₯21 Β· β 4.2K) - MACE is a deep learning inference framework optimized for mobile heterogeneous.. Apache-2
+mace (π₯21 Β· β 4.2K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
-- **[GitHub](https://github.com/XiaoMi/mace)** (π¨βπ» 54 Β· π 740 Β· π₯ 1.3K Β· π 610 - 6% open Β· β±οΈ 04.11.2020):
+- [GitHub](https://github.com/XiaoMi/mace) (π¨βπ» 54 Β· π 740 Β· π₯ 1.3K Β· π 610 - 6% open Β· β±οΈ 04.11.2020):
```
git clone https://github.com/XiaoMi/mace
@@ -565,12 +565,12 @@ _General-purpose machine learning and deep learning frameworks._
Neural Tangents (π₯21 Β· β 1.2K) - Fast and Easy Infinite Neural Networks in Python. Apache-2
-- **[GitHub](https://github.com/google/neural-tangents)** (π¨βπ» 16 Β· π 130 Β· π₯ 54 Β· π¦ 12 Β· π 71 - 33% open Β· β±οΈ 13.12.2020):
+- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 16 Β· π 130 Β· π₯ 57 Β· π¦ 12 Β· π 71 - 33% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/google/neural-tangents
```
-- **[PyPi](https://pypi.org/project/neural-tangents)** (π₯ 650 / month Β· β±οΈ 18.11.2020):
+- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 650 / month Β· β±οΈ 18.11.2020):
```
pip install neural-tangents
@@ -578,12 +578,12 @@ _General-purpose machine learning and deep learning frameworks._
SHOGUN (π₯20 Β· β 2.8K) - The Shogun Machine Learning Toolbox. BSD-3
-- **[GitHub](https://github.com/shogun-toolbox/shogun)** (π¨βπ» 250 Β· π 1K Β· π 1.6K - 33% open Β· β±οΈ 08.12.2020):
+- [GitHub](https://github.com/shogun-toolbox/shogun) (π¨βπ» 250 Β· π 1K Β· π 1.6K - 33% open Β· β±οΈ 08.12.2020):
```
git clone https://github.com/shogun-toolbox/shogun
```
-- **[PyPi](https://pypi.org/project/shogun-ml)** (β±οΈ 23.10.2018):
+- [PyPi](https://pypi.org/project/shogun-ml) (β±οΈ 23.10.2018):
```
pip install shogun-ml
@@ -591,12 +591,12 @@ _General-purpose machine learning and deep learning frameworks._
ThunderSVM (π₯20 Β· β 1.2K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
-- **[GitHub](https://github.com/Xtra-Computing/thundersvm)** (π¨βπ» 33 Β· π 160 Β· π₯ 2.1K Β· π 180 - 22% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/Xtra-Computing/thundersvm) (π¨βπ» 33 Β· π 160 Β· π₯ 2.1K Β· π 180 - 22% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/Xtra-Computing/thundersvm
```
-- **[PyPi](https://pypi.org/project/thundersvm)** (π₯ 370 / month Β· β±οΈ 13.03.2020):
+- [PyPi](https://pypi.org/project/thundersvm) (π₯ 370 / month Β· β±οΈ 13.03.2020):
```
pip install thundersvm
@@ -604,7 +604,7 @@ _General-purpose machine learning and deep learning frameworks._
Haiku (π₯20 Β· β 850) - JAX-based neural network library. Apache-2
-- **[GitHub](https://github.com/deepmind/dm-haiku)** (π¨βπ» 32 Β· π 56 Β· π¦ 49 Β· π 62 - 29% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/deepmind/dm-haiku) (π¨βπ» 32 Β· π 56 Β· π¦ 49 Β· π 62 - 29% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/deepmind/dm-haiku
@@ -612,12 +612,12 @@ _General-purpose machine learning and deep learning frameworks._
Torchbearer (π₯18 Β· β 580 Β· π€) - torchbearer: A model fitting library for PyTorch. MIT
-- **[GitHub](https://github.com/pytorchbearer/torchbearer)** (π¨βπ» 13 Β· π 62 Β· π¦ 37 Β· π 240 - 3% open Β· β±οΈ 17.02.2020):
+- [GitHub](https://github.com/pytorchbearer/torchbearer) (π¨βπ» 13 Β· π 62 Β· π¦ 37 Β· π 240 - 3% open Β· β±οΈ 17.02.2020):
```
git clone https://github.com/pytorchbearer/torchbearer
```
-- **[PyPi](https://pypi.org/project/torchbearer)** (π₯ 510 / month Β· π¦ 3 Β· β±οΈ 31.01.2020):
+- [PyPi](https://pypi.org/project/torchbearer) (π₯ 490 / month Β· π¦ 3 Β· β±οΈ 31.01.2020):
```
pip install torchbearer
@@ -625,12 +625,12 @@ _General-purpose machine learning and deep learning frameworks._
ThunderGBM (π₯16 Β· β 570) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
-- **[GitHub](https://github.com/Xtra-Computing/thundergbm)** (π¨βπ» 10 Β· π 70 Β· π 42 - 38% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/Xtra-Computing/thundergbm) (π¨βπ» 10 Β· π 70 Β· π 42 - 38% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/Xtra-Computing/thundergbm
```
-- **[PyPi](https://pypi.org/project/thundergbm)** (π₯ 120 / month Β· β±οΈ 01.05.2020):
+- [PyPi](https://pypi.org/project/thundergbm) (π₯ 130 / month Β· β±οΈ 01.05.2020):
```
pip install thundergbm
@@ -638,21 +638,21 @@ _General-purpose machine learning and deep learning frameworks._
StarSpace (π₯13 Β· β 3.5K Β· π€) - Learning embeddings for classification, retrieval and ranking. MIT
-- **[GitHub](https://github.com/facebookresearch/StarSpace)** (π¨βπ» 17 Β· π 480 Β· π 190 - 23% open Β· β±οΈ 13.12.2019):
+- [GitHub](https://github.com/facebookresearch/StarSpace) (π¨βπ» 17 Β· π 480 Β· π 190 - 23% open Β· β±οΈ 13.12.2019):
```
git clone https://github.com/facebookresearch/StarSpace
```
Show 4 hidden projects...
-
NuPIC (π₯25 Β· β 6.2K Β· π) - Numenta Platform for Intelligent Computing is an implementation of.. βοΈAGPL-3.0
+
NuPIC (π₯25 Β· β 6.2K Β· π) - Numenta Platform for Intelligent Computing is an.. βοΈAGPL-3.0
-- **[GitHub](https://github.com/numenta/nupic)** (π¨βπ» 120 Β· π 1.6K Β· π¦ 86 Β· π 1.8K - 25% open Β· β±οΈ 23.10.2019):
+- [GitHub](https://github.com/numenta/nupic) (π¨βπ» 120 Β· π 1.6K Β· π¦ 86 Β· π 1.8K - 25% open Β· β±οΈ 23.10.2019):
```
git clone https://github.com/numenta/nupic
```
-- **[PyPi](https://pypi.org/project/nupic)** (π₯ 1.5K / month Β· π¦ 38 Β· β±οΈ 01.06.2018):
+- [PyPi](https://pypi.org/project/nupic) (π₯ 1.5K / month Β· π¦ 38 Β· β±οΈ 01.06.2018):
```
pip install nupic
@@ -660,33 +660,33 @@ _General-purpose machine learning and deep learning frameworks._
MindsDB (π₯20 Β· β 3.1K) - Predictive AI layer for existing databases. βοΈGPL-3.0
-- **[GitHub](https://github.com/mindsdb/mindsdb)** (π¨βπ» 54 Β· π 400 Β· π 490 - 7% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/mindsdb/mindsdb) (π¨βπ» 54 Β· π 400 Β· π 490 - 7% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/mindsdb/mindsdb
```
-- **[PyPi](https://pypi.org/project/mindsdb)** (π₯ 1.6K / month Β· π¦ 3 Β· β±οΈ 19.03.2019):
+- [PyPi](https://pypi.org/project/mindsdb) (π₯ 1.7K / month Β· π¦ 3 Β· β±οΈ 19.03.2019):
```
pip install mindsdb
```
NeuPy (π₯20 Β· β 660 Β· π) - NeuPy is a Tensorflow based python library for prototyping and building neural.. MIT
+NeuPy (π₯20 Β· β 660 Β· π) - NeuPy is a Tensorflow based python library for prototyping and.. MIT
-- **[GitHub](https://github.com/itdxer/neupy)** (π¨βπ» 6 Β· π 140 Β· π¦ 97 Β· π 260 - 10% open Β· β±οΈ 02.09.2019):
+- [GitHub](https://github.com/itdxer/neupy) (π¨βπ» 6 Β· π 140 Β· π¦ 98 Β· π 260 - 10% open Β· β±οΈ 02.09.2019):
```
git clone https://github.com/itdxer/neupy
```
-- **[PyPi](https://pypi.org/project/neupy)** (π₯ 900 / month Β· π¦ 10 Β· β±οΈ 04.04.2019):
+- [PyPi](https://pypi.org/project/neupy) (π₯ 900 / month Β· π¦ 10 Β· β±οΈ 04.04.2019):
```
pip install neupy
```
NeoML (π₯11 Β· β 550 Β· π£) - Machine learning framework for both deep learning and traditional.. βοΈUnlicensed
+NeoML (π₯11 Β· β 550 Β· π£) - Machine learning framework for both deep learning and.. βοΈUnlicensed
-- **[GitHub](https://github.com/neoml-lib/neoml)** (π¨βπ» 15 Β· π 75 Β· π 29 - 55% open Β· β±οΈ 01.12.2020):
+- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 15 Β· π 76 Β· π 29 - 55% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/neoml-lib/neoml
@@ -703,12 +703,12 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (π₯40 Β· β 13K) - matplotlib: plotting with Python. βοΈPython-2.0
-- **[GitHub](https://github.com/matplotlib/matplotlib)** (π¨βπ» 1.2K Β· π 5.5K Β· π¦ 300K Β· π 7.5K - 21% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.2K Β· π 5.5K Β· π¦ 300K Β· π 7.5K - 21% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/matplotlib/matplotlib
```
-- **[PyPi](https://pypi.org/project/matplotlib)** (π₯ 9.6M / month Β· π¦ 79K Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/matplotlib) (π₯ 9.5M / month Β· π¦ 79K Β· β±οΈ 12.11.2020):
```
pip install matplotlib
@@ -716,17 +716,17 @@ _General-purpose and task-specific data visualization libraries._
Plotly (π₯35 Β· β 8.4K) - The interactive graphing library for Python (includes Plotly Express). MIT
-- **[GitHub](https://github.com/plotly/plotly.py)** (π¨βπ» 160 Β· π 1.7K Β· π¦ 5 Β· π 1.8K - 41% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 160 Β· π 1.7K Β· π¦ 5 Β· π 1.8K - 41% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/plotly/plotly.py
```
-- **[PyPi](https://pypi.org/project/plotly)** (π₯ 2.9M / month Β· π¦ 5K Β· β±οΈ 09.12.2020):
+- [PyPi](https://pypi.org/project/plotly) (π₯ 2.9M / month Β· π¦ 5K Β· β±οΈ 09.12.2020):
```
pip install plotly
```
-- **[NPM](https://www.npmjs.com/package/plotlywidget)** (π₯ 40K / month Β· π¦ 4 Β· β±οΈ 09.12.2020):
+- [NPM](https://www.npmjs.com/package/plotlywidget) (π₯ 41K / month Β· π¦ 4 Β· β±οΈ 09.12.2020):
```
npm install plotlywidget
@@ -734,12 +734,12 @@ _General-purpose and task-specific data visualization libraries._
Seaborn (π₯35 Β· β 7.9K) - Statistical data visualization using matplotlib. BSD-3
-- **[GitHub](https://github.com/mwaskom/seaborn)** (π¨βπ» 140 Β· π 1.3K Β· π₯ 97 Β· π¦ 73K Β· π 1.7K - 5% open Β· β±οΈ 12.12.2020):
+- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 140 Β· π 1.3K Β· π₯ 99 Β· π¦ 74K Β· π 1.7K - 5% open Β· β±οΈ 12.12.2020):
```
git clone https://github.com/mwaskom/seaborn
```
-- **[PyPi](https://pypi.org/project/seaborn)** (π₯ 2.1M / month Β· π¦ 13K Β· β±οΈ 08.09.2020):
+- [PyPi](https://pypi.org/project/seaborn) (π₯ 2.1M / month Β· π¦ 13K Β· β±οΈ 08.09.2020):
```
pip install seaborn
@@ -747,12 +747,12 @@ _General-purpose and task-specific data visualization libraries._
Bokeh (π₯33 Β· β 14K) - Interactive Data Visualization in the browser, from Python. BSD-3
-- **[GitHub](https://github.com/bokeh/bokeh)** (π¨βπ» 540 Β· π 3.6K Β· π¦ 29K Β· π 6.3K - 9% open Β· β±οΈ 08.12.2020):
+- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 540 Β· π 3.6K Β· π¦ 29K Β· π 6.3K - 9% open Β· β±οΈ 08.12.2020):
```
git clone https://github.com/bokeh/bokeh
```
-- **[PyPi](https://pypi.org/project/bokeh)** (π₯ 1.1M / month Β· π¦ 5.9K Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/bokeh) (π₯ 1.1M / month Β· π¦ 5.9K Β· β±οΈ 08.12.2020):
```
pip install bokeh
@@ -760,12 +760,12 @@ _General-purpose and task-specific data visualization libraries._
pyecharts (π₯31 Β· β 10K) - Python Echarts Plotting Library. MIT 
-- **[GitHub](https://github.com/pyecharts/pyecharts)** (π¨βπ» 28 Β· π 2.3K Β· π¦ 1.4K Β· π 1.3K - 2% open Β· β±οΈ 29.10.2020):
+- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 28 Β· π 2.3K Β· π¦ 1.4K Β· π 1.3K - 2% open Β· β±οΈ 29.10.2020):
```
git clone https://github.com/pyecharts/pyecharts
```
-- **[PyPi](https://pypi.org/project/pyecharts)** (π₯ 27K / month Β· π¦ 280 Β· β±οΈ 29.10.2020):
+- [PyPi](https://pypi.org/project/pyecharts) (π₯ 27K / month Β· π¦ 280 Β· β±οΈ 29.10.2020):
```
pip install pyecharts
@@ -773,12 +773,12 @@ _General-purpose and task-specific data visualization libraries._
wordcloud (π₯31 Β· β 7.7K) - A little word cloud generator in Python. MIT
-- **[GitHub](https://github.com/amueller/word_cloud)** (π¨βπ» 58 Β· π 2K Β· π¦ 7.9K Β· π 430 - 20% open Β· β±οΈ 11.11.2020):
+- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 58 Β· π 2K Β· π¦ 7.9K Β· π 430 - 20% open Β· β±οΈ 11.11.2020):
```
git clone https://github.com/amueller/word_cloud
```
-- **[PyPi](https://pypi.org/project/wordcloud)** (π₯ 260K / month Β· π¦ 1.1K Β· β±οΈ 11.11.2020):
+- [PyPi](https://pypi.org/project/wordcloud) (π₯ 260K / month Β· π¦ 1.1K Β· β±οΈ 11.11.2020):
```
pip install wordcloud
@@ -786,17 +786,17 @@ _General-purpose and task-specific data visualization libraries._
bqplot (π₯30 Β· β 3K) - Plotting library for IPython/Jupyter notebooks. Apache-2
-- **[GitHub](https://github.com/bqplot/bqplot)** (π¨βπ» 51 Β· π 400 Β· π¦ 1.1K Β· π 520 - 39% open Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 51 Β· π 400 Β· π¦ 1.1K Β· π 520 - 39% open Β· β±οΈ 10.12.2020):
```
git clone https://github.com/bloomberg/bqplot
```
-- **[PyPi](https://pypi.org/project/bqplot)** (π₯ 17K / month Β· π¦ 110 Β· β±οΈ 05.11.2020):
+- [PyPi](https://pypi.org/project/bqplot) (π₯ 17K / month Β· π¦ 110 Β· β±οΈ 05.11.2020):
```
pip install bqplot
```
-- **[NPM](https://www.npmjs.com/package/bqplot)** (π₯ 150K / month Β· π¦ 10 Β· β±οΈ 12.10.2020):
+- [NPM](https://www.npmjs.com/package/bqplot) (π₯ 150K / month Β· π¦ 10 Β· β±οΈ 12.10.2020):
```
npm install bqplot
@@ -804,17 +804,17 @@ _General-purpose and task-specific data visualization libraries._
pandas-profiling (π₯29 Β· β 6.4K) - Create HTML profiling reports from pandas DataFrame objects. MIT 
-- **[GitHub](https://github.com/pandas-profiling/pandas-profiling)** (π¨βπ» 61 Β· π 970 Β· π¦ 2.6K Β· π 400 - 12% open Β· β±οΈ 30.11.2020):
+- [GitHub](https://github.com/pandas-profiling/pandas-profiling) (π¨βπ» 61 Β· π 970 Β· π¦ 2.7K Β· π 400 - 12% open Β· β±οΈ 30.11.2020):
```
git clone https://github.com/pandas-profiling/pandas-profiling
```
-- **[PyPi](https://pypi.org/project/pandas-profiling)** (π₯ 240K / month Β· π¦ 160 Β· β±οΈ 03.09.2020):
+- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 240K / month Β· π¦ 160 Β· β±οΈ 03.09.2020):
```
pip install pandas-profiling
```
-- **[Conda](https://anaconda.org/conda-forge/pandas-profiling)**:
+- [Conda](https://anaconda.org/conda-forge/pandas-profiling):
```
conda install -c conda-forge pandas-profiling
@@ -822,30 +822,30 @@ _General-purpose and task-specific data visualization libraries._
UMAP (π₯29 Β· β 4.3K) - Uniform Manifold Approximation and Projection. BSD-3
-- **[GitHub](https://github.com/lmcinnes/umap)** (π¨βπ» 67 Β· π 460 Β· π 400 - 48% open Β· β±οΈ 26.11.2020):
+- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 67 Β· π 460 Β· π 400 - 48% open Β· β±οΈ 26.11.2020):
```
git clone https://github.com/lmcinnes/umap
```
-- **[PyPi](https://pypi.org/project/umap-learn)** (π₯ 120K / month Β· π¦ 230 Β· β±οΈ 26.11.2020):
+- [PyPi](https://pypi.org/project/umap-learn) (π₯ 120K / month Β· π¦ 230 Β· β±οΈ 26.11.2020):
```
pip install umap-learn
```
PyQtGraph (π₯29 Β· β 2.2K) - Fast data visualization and GUI tools for scientific / engineering applications. MIT
+PyQtGraph (π₯29 Β· β 2.2K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
-- **[GitHub](https://github.com/pyqtgraph/pyqtgraph)** (π¨βπ» 180 Β· π 790 Β· π 710 - 40% open Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 180 Β· π 790 Β· π 710 - 40% open Β· β±οΈ 10.12.2020):
```
git clone https://github.com/pyqtgraph/pyqtgraph
```
-- **[PyPi](https://pypi.org/project/pyqtgraph)** (π₯ 35K / month Β· π¦ 890 Β· β±οΈ 08.06.2020):
+- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 35K / month Β· π¦ 890 Β· β±οΈ 08.06.2020):
```
pip install pyqtgraph
```
-- **[Conda](https://anaconda.org/conda-forge/pyqtgraph)**:
+- [Conda](https://anaconda.org/conda-forge/pyqtgraph):
```
conda install -c conda-forge pyqtgraph
@@ -853,17 +853,17 @@ _General-purpose and task-specific data visualization libraries._
HoloViews (π₯29 Β· β 1.8K) - With Holoviews, your data visualizes itself. BSD-3
-- **[GitHub](https://github.com/holoviz/holoviews)** (π¨βπ» 99 Β· π 290 Β· π 2.5K - 26% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 99 Β· π 290 Β· π 2.5K - 26% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/holoviz/holoviews
```
-- **[PyPi](https://pypi.org/project/holoviews)** (π₯ 110K / month Β· π¦ 170 Β· β±οΈ 03.12.2020):
+- [PyPi](https://pypi.org/project/holoviews) (π₯ 120K / month Β· π¦ 170 Β· β±οΈ 03.12.2020):
```
pip install holoviews
```
-- **[NPM](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz)** (π₯ 7.9K / month Β· β±οΈ 24.05.2020):
+- [NPM](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 8K / month Β· β±οΈ 24.05.2020):
```
npm install @pyviz/jupyterlab_pyviz
@@ -871,17 +871,17 @@ _General-purpose and task-specific data visualization libraries._
VisPy (π₯28 Β· β 2.5K) - High-performance interactive 2D/3D data visualization library. BSD-3
-- **[GitHub](https://github.com/vispy/vispy)** (π¨βπ» 140 Β· π 540 Β· π¦ 430 Β· π 1.1K - 31% open Β· β±οΈ 28.11.2020):
+- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 140 Β· π 540 Β· π¦ 430 Β· π 1.1K - 31% open Β· β±οΈ 28.11.2020):
```
git clone https://github.com/vispy/vispy
```
-- **[PyPi](https://pypi.org/project/vispy)** (π₯ 15K / month Β· π¦ 120 Β· β±οΈ 28.11.2020):
+- [PyPi](https://pypi.org/project/vispy) (π₯ 15K / month Β· π¦ 120 Β· β±οΈ 28.11.2020):
```
pip install vispy
```
-- **[NPM](https://www.npmjs.com/package/vispy)** (π₯ 60 / month Β· β±οΈ 15.03.2020):
+- [NPM](https://www.npmjs.com/package/vispy) (π₯ 65 / month Β· β±οΈ 15.03.2020):
```
npm install vispy
@@ -889,17 +889,17 @@ _General-purpose and task-specific data visualization libraries._
datashader (π₯28 Β· β 2.4K) - Quickly and accurately render even the largest data. BSD-3
-- **[GitHub](https://github.com/holoviz/datashader)** (π¨βπ» 43 Β· π 310 Β· π¦ 530 Β· π 460 - 31% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 43 Β· π 310 Β· π¦ 530 Β· π 460 - 31% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/holoviz/datashader
```
-- **[PyPi](https://pypi.org/project/datashader)** (π₯ 17K / month Β· π¦ 70 Β· β±οΈ 04.12.2020):
+- [PyPi](https://pypi.org/project/datashader) (π₯ 17K / month Β· π¦ 70 Β· β±οΈ 04.12.2020):
```
pip install datashader
```
-- **[Conda](https://anaconda.org/conda-forge/datashader)**:
+- [Conda](https://anaconda.org/conda-forge/datashader):
```
conda install -c conda-forge datashader
@@ -907,12 +907,12 @@ _General-purpose and task-specific data visualization libraries._
missingno (π₯27 Β· β 2.6K) - Missing data visualization module for Python. MIT
-- **[GitHub](https://github.com/ResidentMario/missingno)** (π¨βπ» 14 Β· π 330 Β· π¦ 2.4K Β· π 100 - 14% open Β· β±οΈ 23.11.2020):
+- [GitHub](https://github.com/ResidentMario/missingno) (π¨βπ» 14 Β· π 330 Β· π¦ 2.4K Β· π 100 - 14% open Β· β±οΈ 23.11.2020):
```
git clone https://github.com/ResidentMario/missingno
```
-- **[PyPi](https://pypi.org/project/missingno)** (π₯ 210K / month Β· π¦ 76 Β· β±οΈ 29.06.2018):
+- [PyPi](https://pypi.org/project/missingno) (π₯ 210K / month Β· π¦ 76 Β· β±οΈ 29.06.2018):
```
pip install missingno
@@ -920,12 +920,12 @@ _General-purpose and task-specific data visualization libraries._
Cufflinks (π₯27 Β· β 2K) - Productivity Tools for Plotly + Pandas. MIT
-- **[GitHub](https://github.com/santosjorge/cufflinks)** (π¨βπ» 37 Β· π 500 Β· π¦ 2.3K Β· π 200 - 39% open Β· β±οΈ 07.10.2020):
+- [GitHub](https://github.com/santosjorge/cufflinks) (π¨βπ» 37 Β· π 500 Β· π¦ 2.4K Β· π 200 - 39% open Β· β±οΈ 07.10.2020):
```
git clone https://github.com/santosjorge/cufflinks
```
-- **[PyPi](https://pypi.org/project/cufflinks)** (π₯ 57K / month Β· π¦ 120 Β· β±οΈ 01.03.2020):
+- [PyPi](https://pypi.org/project/cufflinks) (π₯ 57K / month Β· π¦ 120 Β· β±οΈ 01.03.2020):
```
pip install cufflinks
@@ -933,56 +933,56 @@ _General-purpose and task-specific data visualization libraries._
Perspective (π₯26 Β· β 3K) - Streaming pivot visualization via WebAssembly. Apache-2
-- **[GitHub](https://github.com/finos/perspective)** (π¨βπ» 58 Β· π 330 Β· π¦ 160 Β· π 350 - 19% open Β· β±οΈ 30.10.2020):
+- [GitHub](https://github.com/finos/perspective) (π¨βπ» 58 Β· π 330 Β· π¦ 160 Β· π 350 - 19% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/finos/perspective
```
-- **[PyPi](https://pypi.org/project/perspective-python)** (π₯ 550 / month Β· π¦ 4 Β· β±οΈ 15.10.2020):
+- [PyPi](https://pypi.org/project/perspective-python) (π₯ 550 / month Β· π¦ 4 Β· β±οΈ 15.10.2020):
```
pip install perspective-python
```
-- **[NPM](https://www.npmjs.com/package/@finos/perspective-jupyterlab)** (π₯ 1.2K / month Β· β±οΈ 15.10.2020):
+- [NPM](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 1.2K / month Β· β±οΈ 15.10.2020):
```
npm install @finos/perspective-jupyterlab
```
PyVista (π₯26 Β· β 610) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT
+PyVista (π₯26 Β· β 610) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
-- **[GitHub](https://github.com/pyvista/pyvista)** (π¨βπ» 46 Β· π 130 Β· π₯ 14 Β· π¦ 210 Β· π 370 - 30% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 46 Β· π 130 Β· π₯ 14 Β· π¦ 210 Β· π 370 - 30% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/pyvista/pyvista
```
-- **[PyPi](https://pypi.org/project/pyvista)** (π₯ 9.9K / month Β· π¦ 26 Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/pyvista) (π₯ 9.9K / month Β· π¦ 26 Β· β±οΈ 10.12.2020):
```
pip install pyvista
```
Chartify (π₯25 Β· β 2.8K) - Python library that makes it easy for data scientists to create charts. Apache-2
+Chartify (π₯25 Β· β 2.8K) - Python library that makes it easy for data scientists to create.. Apache-2
-- **[GitHub](https://github.com/spotify/chartify)** (π¨βπ» 19 Β· π 240 Β· π¦ 51 Β· π 70 - 57% open Β· β±οΈ 02.11.2020):
+- [GitHub](https://github.com/spotify/chartify) (π¨βπ» 19 Β· π 240 Β· π¦ 51 Β· π 70 - 57% open Β· β±οΈ 02.11.2020):
```
git clone https://github.com/spotify/chartify
```
-- **[PyPi](https://pypi.org/project/chartify)** (π₯ 10K / month Β· π¦ 5 Β· β±οΈ 02.11.2020):
+- [PyPi](https://pypi.org/project/chartify) (π₯ 9.9K / month Β· π¦ 5 Β· β±οΈ 02.11.2020):
```
pip install chartify
```
hvPlot (π₯25 Β· β 330) - A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews. BSD-3
+hvPlot (π₯25 Β· β 330) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3
-- **[GitHub](https://github.com/holoviz/hvplot)** (π¨βπ» 22 Β· π 49 Β· π¦ 390 Β· π 310 - 30% open Β· β±οΈ 18.11.2020):
+- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 22 Β· π 49 Β· π¦ 390 Β· π 310 - 30% open Β· β±οΈ 18.11.2020):
```
git clone https://github.com/holoviz/hvplot
```
-- **[PyPi](https://pypi.org/project/hvplot)** (π₯ 69K / month Β· π¦ 15 Β· β±οΈ 02.06.2020):
+- [PyPi](https://pypi.org/project/hvplot) (π₯ 73K / month Β· π¦ 15 Β· β±οΈ 02.06.2020):
```
pip install hvplot
@@ -990,25 +990,25 @@ _General-purpose and task-specific data visualization libraries._
Facets Overview (π₯24 Β· β 6.4K) - Visualizations for machine learning datasets. Apache-2
-- **[GitHub](https://github.com/PAIR-code/facets)** (π¨βπ» 27 Β· π 780 Β· π¦ 34 Β· π 140 - 48% open Β· β±οΈ 27.10.2020):
+- [GitHub](https://github.com/PAIR-code/facets) (π¨βπ» 27 Β· π 780 Β· π¦ 34 Β· π 140 - 48% open Β· β±οΈ 27.10.2020):
```
git clone https://github.com/pair-code/facets
```
-- **[PyPi](https://pypi.org/project/facets-overview)** (π₯ 17K / month Β· β±οΈ 24.07.2019):
+- [PyPi](https://pypi.org/project/facets-overview) (π₯ 18K / month Β· β±οΈ 24.07.2019):
```
pip install facets-overview
```
HyperTools (π₯24 Β· β 1.6K) - A Python toolbox for gaining geometric insights into high-dimensional data. MIT
+HyperTools (π₯24 Β· β 1.6K) - A Python toolbox for gaining geometric insights into high-.. MIT
-- **[GitHub](https://github.com/ContextLab/hypertools)** (π¨βπ» 20 Β· π 150 Β· π¦ 90 Β· π 190 - 36% open Β· β±οΈ 02.10.2020):
+- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 20 Β· π 150 Β· π¦ 90 Β· π 190 - 36% open Β· β±οΈ 02.10.2020):
```
git clone https://github.com/ContextLab/hypertools
```
-- **[PyPi](https://pypi.org/project/hypertools)** (π₯ 810 / month Β· π¦ 9 Β· β±οΈ 02.10.2020):
+- [PyPi](https://pypi.org/project/hypertools) (π₯ 770 / month Β· π¦ 9 Β· β±οΈ 02.10.2020):
```
pip install hypertools
@@ -1016,17 +1016,17 @@ _General-purpose and task-specific data visualization libraries._
pythreejs (π₯24 Β· β 690) - A Jupyter - Three.js bridge. BSD-3
-- **[GitHub](https://github.com/jupyter-widgets/pythreejs)** (π¨βπ» 24 Β· π 160 Β· π¦ 15 Β· π 190 - 29% open Β· β±οΈ 09.10.2020):
+- [GitHub](https://github.com/jupyter-widgets/pythreejs) (π¨βπ» 24 Β· π 160 Β· π¦ 15 Β· π 190 - 29% open Β· β±οΈ 09.10.2020):
```
git clone https://github.com/jupyter-widgets/pythreejs
```
-- **[PyPi](https://pypi.org/project/pythreejs)** (π₯ 8.1K / month Β· π¦ 13 Β· β±οΈ 09.10.2020):
+- [PyPi](https://pypi.org/project/pythreejs) (π₯ 8K / month Β· π¦ 13 Β· β±οΈ 09.10.2020):
```
pip install pythreejs
```
-- **[NPM](https://www.npmjs.com/package/jupyter-threejs)** (π₯ 5.1K / month Β· π¦ 8 Β· β±οΈ 19.03.2020):
+- [NPM](https://www.npmjs.com/package/jupyter-threejs) (π₯ 5.1K / month Β· π¦ 8 Β· β±οΈ 19.03.2020):
```
npm install jupyter-threejs
@@ -1034,12 +1034,12 @@ _General-purpose and task-specific data visualization libraries._
PandasGUI (π₯22 Β· β 1.9K) - A GUI for Pandas DataFrames. MIT
-- **[GitHub](https://github.com/adamerose/PandasGUI)** (π¨βπ» 6 Β· π 100 Β· π¦ 23 Β· π 60 - 16% open Β· β±οΈ 05.12.2020):
+- [GitHub](https://github.com/adamerose/PandasGUI) (π¨βπ» 6 Β· π 100 Β· π¦ 23 Β· π 60 - 16% open Β· β±οΈ 05.12.2020):
```
git clone https://github.com/adamerose/pandasgui
```
-- **[PyPi](https://pypi.org/project/pandasgui)** (π₯ 2.5K / month Β· π¦ 1 Β· β±οΈ 10.11.2020):
+- [PyPi](https://pypi.org/project/pandasgui) (π₯ 2.4K / month Β· π¦ 1 Β· β±οΈ 10.11.2020):
```
pip install pandasgui
@@ -1047,30 +1047,30 @@ _General-purpose and task-specific data visualization libraries._
openTSNE (π₯22 Β· β 720) - Extensible, parallel implementations of t-SNE. BSD-3
-- **[GitHub](https://github.com/pavlin-policar/openTSNE)** (π¨βπ» 10 Β· π 78 Β· π¦ 160 Β· π 71 - 4% open Β· β±οΈ 27.11.2020):
+- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 10 Β· π 78 Β· π¦ 160 Β· π 71 - 4% open Β· β±οΈ 27.11.2020):
```
git clone https://github.com/pavlin-policar/openTSNE
```
-- **[PyPi](https://pypi.org/project/opentsne)** (π₯ 11K / month Β· π¦ 4 Β· β±οΈ 04.08.2020):
+- [PyPi](https://pypi.org/project/opentsne) (π₯ 11K / month Β· π¦ 4 Β· β±οΈ 04.08.2020):
```
pip install opentsne
```
-- **[Conda](https://anaconda.org/conda-forge/opentsne)**:
+- [Conda](https://anaconda.org/conda-forge/opentsne):
```
conda install -c conda-forge opentsne
```
Pandas-Bokeh (π₯22 Β· β 580) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT
+Pandas-Bokeh (π₯22 Β· β 590) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT
-- **[GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh)** (π¨βπ» 11 Β· π 74 Β· π¦ 110 Β· π 71 - 28% open Β· β±οΈ 27.11.2020):
+- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (π¨βπ» 11 Β· π 74 Β· π¦ 110 Β· π 71 - 28% open Β· β±οΈ 27.11.2020):
```
git clone https://github.com/PatrikHlobil/Pandas-Bokeh
```
-- **[PyPi](https://pypi.org/project/pandas-bokeh)** (π₯ 7.7K / month Β· π¦ 10 Β· β±οΈ 27.11.2020):
+- [PyPi](https://pypi.org/project/pandas-bokeh) (π₯ 8K / month Β· π¦ 10 Β· β±οΈ 27.11.2020):
```
pip install pandas-bokeh
@@ -1078,17 +1078,17 @@ _General-purpose and task-specific data visualization libraries._
vega (π₯22 Β· β 290) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
-- **[GitHub](https://github.com/vega/ipyvega)** (π¨βπ» 9 Β· π 46 Β· π 87 - 9% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 9 Β· π 46 Β· π 87 - 9% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/vega/ipyvega
```
-- **[PyPi](https://pypi.org/project/vega)** (π₯ 11K / month Β· π¦ 150 Β· β±οΈ 15.05.2020):
+- [PyPi](https://pypi.org/project/vega) (π₯ 11K / month Β· π¦ 150 Β· β±οΈ 15.05.2020):
```
pip install vega
```
-- **[Conda](https://anaconda.org/conda-forge/vega)**:
+- [Conda](https://anaconda.org/conda-forge/vega):
```
conda install -c conda-forge vega
@@ -1096,25 +1096,25 @@ _General-purpose and task-specific data visualization libraries._
PyWaffle (π₯20 Β· β 370) - Make Waffle Charts in Python. MIT
-- **[GitHub](https://github.com/gyli/PyWaffle)** (π¨βπ» 6 Β· π 59 Β· π¦ 37 Β· π 12 - 16% open Β· β±οΈ 26.07.2020):
+- [GitHub](https://github.com/gyli/PyWaffle) (π¨βπ» 6 Β· π 59 Β· π¦ 37 Β· π 12 - 16% open Β· β±οΈ 26.07.2020):
```
git clone https://github.com/gyli/PyWaffle
```
-- **[PyPi](https://pypi.org/project/pywaffle)** (π₯ 1.4K / month Β· β±οΈ 26.07.2020):
+- [PyPi](https://pypi.org/project/pywaffle) (π₯ 1.4K / month Β· β±οΈ 26.07.2020):
```
pip install pywaffle
```
AutoViz (π₯20 Β· β 260) - Automatically Visualize any dataset, any size with a single line of code... Apache-2
+AutoViz (π₯20 Β· β 260) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
-- **[GitHub](https://github.com/AutoViML/AutoViz)** (π¨βπ» 10 Β· π 54 Β· π¦ 24 Β· π 19 - 15% open Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 10 Β· π 54 Β· π¦ 24 Β· π 19 - 15% open Β· β±οΈ 10.12.2020):
```
git clone https://github.com/AutoViML/AutoViz
```
-- **[PyPi](https://pypi.org/project/autoviz)** (π₯ 1.4K / month Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/autoviz) (π₯ 1.4K / month Β· β±οΈ 10.12.2020):
```
pip install autoviz
@@ -1122,30 +1122,30 @@ _General-purpose and task-specific data visualization libraries._
HiPlot (π₯19 Β· β 1.5K) - HiPlot makes understanding high dimensional data easy. MIT
-- **[GitHub](https://github.com/facebookresearch/hiplot)** (π¨βπ» 4 Β· π 81 Β· π¦ 2 Β· π 45 - 8% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/facebookresearch/hiplot) (π¨βπ» 4 Β· π 81 Β· π¦ 2 Β· π 45 - 8% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/facebookresearch/hiplot
```
-- **[PyPi](https://pypi.org/project/hiplot)** (π₯ 3.5K / month Β· β±οΈ 30.11.2020):
+- [PyPi](https://pypi.org/project/hiplot) (π₯ 3.4K / month Β· β±οΈ 30.11.2020):
```
pip install hiplot
```
-- **[Conda](https://anaconda.org/conda-forge/hiplot)**:
+- [Conda](https://anaconda.org/conda-forge/hiplot):
```
conda install -c conda-forge hiplot
```
Sweetviz (π₯19 Β· β 1.2K) - Visualize and compare datasets, target values and associations, with one line of.. MIT
+Sweetviz (π₯19 Β· β 1.2K) - Visualize and compare datasets, target values and associations, with.. MIT
-- **[GitHub](https://github.com/fbdesignpro/sweetviz)** (π¨βπ» 6 Β· π 130 Β· π 61 - 34% open Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/fbdesignpro/sweetviz) (π¨βπ» 6 Β· π 130 Β· π 61 - 34% open Β· β±οΈ 10.12.2020):
```
git clone https://github.com/fbdesignpro/sweetviz
```
-- **[PyPi](https://pypi.org/project/sweetviz)** (π₯ 6.7K / month Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/sweetviz) (π₯ 6.8K / month Β· β±οΈ 10.12.2020):
```
pip install sweetviz
@@ -1153,12 +1153,12 @@ _General-purpose and task-specific data visualization libraries._
nx-altair (π₯14 Β· β 150) - Draw interactive NetworkX graphs with Altair. MIT
-- **[GitHub](https://github.com/Zsailer/nx_altair)** (π¨βπ» 3 Β· π 19 Β· π 8 - 50% open Β· β±οΈ 02.06.2020):
+- [GitHub](https://github.com/Zsailer/nx_altair) (π¨βπ» 3 Β· π 19 Β· π 8 - 50% open Β· β±οΈ 02.06.2020):
```
git clone https://github.com/Zsailer/nx_altair
```
-- **[PyPi](https://pypi.org/project/nx-altair)** (π₯ 220 / month Β· π¦ 2 Β· β±οΈ 02.06.2020):
+- [PyPi](https://pypi.org/project/nx-altair) (π₯ 230 / month Β· π¦ 2 Β· β±οΈ 02.06.2020):
```
pip install nx-altair
@@ -1167,51 +1167,51 @@ _General-purpose and task-specific data visualization libraries._
Show 4 hidden projects...
Altair (π₯25 Β· β 240 Β· π) - Declarative statistical visualization library for Python. BSD-3
-- **[GitHub](https://github.com/ellisonbg/altair)** (π¨βπ» 50 Β· π 19 Β· β±οΈ 18.05.2018):
+- [GitHub](https://github.com/ellisonbg/altair) (π¨βπ» 50 Β· π 19 Β· β±οΈ 18.05.2018):
```
git clone https://github.com/ellisonbg/altair
```
-- **[PyPi](https://pypi.org/project/altair)** (π₯ 650K / month Β· π¦ 370 Β· β±οΈ 01.04.2020):
+- [PyPi](https://pypi.org/project/altair) (π₯ 640K / month Β· π¦ 370 Β· β±οΈ 01.04.2020):
```
pip install altair
```
pivottablejs (π₯20 Β· β 410 Β· π) - Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of.. MIT
+pivottablejs (π₯20 Β· β 410 Β· π) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT
-- **[GitHub](https://github.com/nicolaskruchten/jupyter_pivottablejs)** (π¨βπ» 3 Β· π 53 Β· π¦ 130 Β· π 53 - 30% open Β· β±οΈ 04.12.2018):
+- [GitHub](https://github.com/nicolaskruchten/jupyter_pivottablejs) (π¨βπ» 3 Β· π 53 Β· π¦ 130 Β· π 53 - 30% open Β· β±οΈ 04.12.2018):
```
git clone https://github.com/nicolaskruchten/jupyter_pivottablejs
```
-- **[PyPi](https://pypi.org/project/pivottablejs)** (π₯ 9.2K / month Β· π¦ 14 Β· β±οΈ 15.01.2018):
+- [PyPi](https://pypi.org/project/pivottablejs) (π₯ 9.1K / month Β· π¦ 14 Β· β±οΈ 15.01.2018):
```
pip install pivottablejs
```
pdvega (π₯17 Β· β 340 Β· π) - Interactive plotting for Pandas using Vega-Lite. MIT
+pdvega (π₯16 Β· β 340 Β· π) - Interactive plotting for Pandas using Vega-Lite. MIT
-- **[GitHub](https://github.com/altair-viz/pdvega)** (π¨βπ» 9 Β· π 28 Β· π¦ 45 Β· π 26 - 61% open Β· β±οΈ 29.03.2019):
+- [GitHub](https://github.com/altair-viz/pdvega) (π¨βπ» 9 Β· π 28 Β· π¦ 45 Β· π 26 - 61% open Β· β±οΈ 29.03.2019):
```
git clone https://github.com/altair-viz/pdvega
```
-- **[PyPi](https://pypi.org/project/pdvega)** (π₯ 150 / month Β· π¦ 2 Β· β±οΈ 01.02.2018):
+- [PyPi](https://pypi.org/project/pdvega) (π₯ 150 / month Β· π¦ 2 Β· β±οΈ 01.02.2018):
```
pip install pdvega
```
nptsne (π₯15 Β· β 24) - nptsne is a numpy compatible python binary package that offers a number of APIs.. Apache-2
+nptsne (π₯15 Β· β 24) - nptsne is a numpy compatible python binary package that offers a.. Apache-2
-- **[GitHub](https://github.com/biovault/nptsne)** (π¨βπ» 3 Β· π 2 Β· π¦ 2 Β· π 9 - 77% open Β· β±οΈ 13.11.2020):
+- [GitHub](https://github.com/biovault/nptsne) (π¨βπ» 3 Β· π 2 Β· π¦ 2 Β· π 9 - 77% open Β· β±οΈ 13.11.2020):
```
git clone https://github.com/biovault/nptsne
```
-- **[PyPi](https://pypi.org/project/nptsne)** (π₯ 170 / month Β· β±οΈ 10.09.2020):
+- [PyPi](https://pypi.org/project/nptsne) (π₯ 170 / month Β· β±οΈ 10.09.2020):
```
pip install nptsne
@@ -1226,40 +1226,40 @@ _General-purpose and task-specific data visualization libraries._
_Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._
-spaCy (π₯37 Β· β 18K) - Industrial-strength Natural Language Processing (NLP) with Python and Cython. MIT
+spaCy (π₯37 Β· β 18K) - Industrial-strength Natural Language Processing (NLP) with Python and.. MIT
-- **[GitHub](https://github.com/explosion/spaCy)** (π¨βπ» 540 Β· π 3.2K Β· π₯ 2.9K Β· π¦ 19K Β· π 4.3K - 4% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 540 Β· π 3.2K Β· π₯ 2.9K Β· π¦ 19K Β· π 4.3K - 4% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/explosion/spaCy
```
-- **[PyPi](https://pypi.org/project/spacy)** (π₯ 1M / month Β· π¦ 3.1K Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/spacy) (π₯ 1M / month Β· π¦ 3.1K Β· β±οΈ 11.12.2020):
```
pip install spacy
```
transformers (π₯36 Β· β 38K) - Transformers: State-of-the-art Natural Language Processing for.. Apache-2
+transformers (π₯36 Β· β 38K) - Transformers: State-of-the-art Natural Language Processing.. Apache-2
-- **[GitHub](https://github.com/huggingface/transformers)** (π¨βπ» 730 Β· π 9.4K Β· π₯ 1.2K Β· π¦ 6.1K Β· π 5.4K - 10% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 730 Β· π 9.4K Β· π₯ 1.2K Β· π¦ 6.2K Β· π 5.4K - 10% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/huggingface/transformers
```
-- **[PyPi](https://pypi.org/project/transformers)** (π₯ 960K / month Β· π¦ 130 Β· β±οΈ 09.12.2020):
+- [PyPi](https://pypi.org/project/transformers) (π₯ 920K / month Β· π¦ 130 Β· β±οΈ 09.12.2020):
```
pip install transformers
```
nltk (π₯34 Β· β 9.5K) - Suite of libraries and programs for symbolic and statistical natural language.. Apache-2
+nltk (π₯34 Β· β 9.5K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
-- **[GitHub](https://github.com/nltk/nltk)** (π¨βπ» 380 Β· π 2.4K Β· π¦ 82K Β· π 1.5K - 16% open Β· β±οΈ 12.12.2020):
+- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 380 Β· π 2.4K Β· π¦ 83K Β· π 1.5K - 16% open Β· β±οΈ 12.12.2020):
```
git clone https://github.com/nltk/nltk
```
-- **[PyPi](https://pypi.org/project/nltk)** (π₯ 4.3M / month Β· π¦ 21K Β· β±οΈ 12.04.2020):
+- [PyPi](https://pypi.org/project/nltk) (π₯ 4.3M / month Β· π¦ 21K Β· β±οΈ 12.04.2020):
```
pip install nltk
@@ -1267,12 +1267,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
AllenNLP (π₯32 Β· β 9.5K) - An open-source NLP research library, built on PyTorch. Apache-2
-- **[GitHub](https://github.com/allenai/allennlp)** (π¨βπ» 230 Β· π 1.9K Β· π₯ 36 Β· π¦ 1.3K Β· π 2.2K - 5% open Β· β±οΈ 12.12.2020):
+- [GitHub](https://github.com/allenai/allennlp) (π¨βπ» 230 Β· π 1.9K Β· π₯ 36 Β· π¦ 1.3K Β· π 2.2K - 5% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/allenai/allennlp
```
-- **[PyPi](https://pypi.org/project/allennlp)** (π₯ 22K / month Β· π¦ 120 Β· β±οΈ 17.11.2020):
+- [PyPi](https://pypi.org/project/allennlp) (π₯ 22K / month Β· π¦ 120 Β· β±οΈ 17.11.2020):
```
pip install allennlp
@@ -1280,77 +1280,77 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
fairseq (π₯31 Β· β 11K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
-- **[GitHub](https://github.com/pytorch/fairseq)** (π¨βπ» 280 Β· π 2.7K Β· π₯ 45 Β· π¦ 240 Β· π 2.3K - 24% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/pytorch/fairseq) (π¨βπ» 280 Β· π 2.7K Β· π₯ 46 Β· π¦ 240 Β· π 2.3K - 24% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/pytorch/fairseq
```
-- **[PyPi](https://pypi.org/project/fairseq)** (π₯ 8.6K / month Β· π¦ 20 Β· β±οΈ 21.11.2020):
+- [PyPi](https://pypi.org/project/fairseq) (π₯ 8.6K / month Β· π¦ 20 Β· β±οΈ 21.11.2020):
```
pip install fairseq
```
ChatterBot (π₯31 Β· β 11K) - ChatterBot is a machine learning, conversational dialog engine for creating chat.. BSD-3
+ChatterBot (π₯31 Β· β 11K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3
-- **[GitHub](https://github.com/gunthercox/ChatterBot)** (π¨βπ» 100 Β· π 3.6K Β· π¦ 3K Β· π 1.4K - 13% open Β· β±οΈ 20.08.2020):
+- [GitHub](https://github.com/gunthercox/ChatterBot) (π¨βπ» 100 Β· π 3.6K Β· π¦ 3K Β· π 1.4K - 13% open Β· β±οΈ 20.08.2020):
```
git clone https://github.com/gunthercox/ChatterBot
```
-- **[PyPi](https://pypi.org/project/chatterbot)** (π₯ 21K / month Β· π¦ 680 Β· β±οΈ 22.08.2020):
+- [PyPi](https://pypi.org/project/chatterbot) (π₯ 20K / month Β· π¦ 680 Β· β±οΈ 22.08.2020):
```
pip install chatterbot
```
sentencepiece (π₯31 Β· β 4.6K) - Unsupervised text tokenizer for Neural Network-based text generation. Apache-2
+Rasa (π₯31 Β· β 10K) - Open source machine learning framework to automate text- and voice-.. Apache-2
-- **[GitHub](https://github.com/google/sentencepiece)** (π¨βπ» 46 Β· π 590 Β· π₯ 8.8K Β· π¦ 4.9K Β· π 400 - 8% open Β· β±οΈ 12.12.2020):
+- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 450 Β· π 3.2K Β· π 4.8K - 10% open Β· β±οΈ 15.12.2020):
```
- git clone https://github.com/google/sentencepiece
+ git clone https://github.com/RasaHQ/rasa
```
-- **[PyPi](https://pypi.org/project/sentencepiece)** (π₯ 1.4M / month Β· π¦ 120 Β· β±οΈ 24.10.2020):
+- [PyPi](https://pypi.org/project/rasa) (π₯ 60K / month Β· π¦ 64 Β· β±οΈ 11.12.2020):
```
- pip install sentencepiece
+ pip install rasa
```
fastText (π₯30 Β· β 22K) - Library for fast text representation and classification. MIT
+sentencepiece (π₯31 Β· β 4.6K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- **[GitHub](https://github.com/facebookresearch/fastText)** (π¨βπ» 58 Β· π 4.2K Β· π¦ 1.4K Β· π 990 - 40% open Β· β±οΈ 18.07.2020):
+- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 46 Β· π 600 Β· π₯ 8.8K Β· π¦ 4.9K Β· π 400 - 8% open Β· β±οΈ 12.12.2020):
```
- git clone https://github.com/facebookresearch/fastText
+ git clone https://github.com/google/sentencepiece
```
-- **[PyPi](https://pypi.org/project/fasttext)** (π₯ 120K / month Β· π¦ 190 Β· β±οΈ 28.04.2020):
+- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 1.3M / month Β· π¦ 120 Β· β±οΈ 24.10.2020):
```
- pip install fasttext
+ pip install sentencepiece
```
Rasa (π₯30 Β· β 10K) - Open source machine learning framework to automate text- and voice-based.. Apache-2
+fastText (π₯30 Β· β 22K) - Library for fast text representation and classification. MIT
-- **[GitHub](https://github.com/RasaHQ/rasa)** (π¨βπ» 450 Β· π 3.2K Β· π 4.8K - 10% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 58 Β· π 4.2K Β· π¦ 1.4K Β· π 990 - 40% open Β· β±οΈ 18.07.2020):
```
- git clone https://github.com/RasaHQ/rasa
+ git clone https://github.com/facebookresearch/fastText
```
-- **[PyPi](https://pypi.org/project/rasa)** (π₯ 59K / month Β· π¦ 64 Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/fasttext) (π₯ 120K / month Β· π¦ 190 Β· β±οΈ 28.04.2020):
```
- pip install rasa
+ pip install fasttext
```
flair (π₯30 Β· β 9.7K) - A very simple framework for state-of-the-art Natural Language Processing (NLP). MIT
+flair (π₯30 Β· β 9.7K) - A very simple framework for state-of-the-art Natural Language.. MIT
-- **[GitHub](https://github.com/flairNLP/flair)** (π¨βπ» 160 Β· π 1.4K Β· π¦ 560 Β· π 1.4K - 8% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 160 Β· π 1.4K Β· π¦ 560 Β· π 1.4K - 8% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/flairNLP/flair
```
-- **[PyPi](https://pypi.org/project/flair)** (π₯ 34K / month Β· π¦ 48 Β· β±οΈ 01.12.2020):
+- [PyPi](https://pypi.org/project/flair) (π₯ 33K / month Β· π¦ 48 Β· β±οΈ 01.12.2020):
```
pip install flair
@@ -1358,51 +1358,51 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
torchtext (π₯30 Β· β 2.6K) - Data loaders and abstractions for text and NLP. BSD-3
-- **[GitHub](https://github.com/pytorch/text)** (π¨βπ» 98 Β· π 580 Β· π¦ 3.3K Β· π 570 - 45% open Β· β±οΈ 04.12.2020):
+- [GitHub](https://github.com/pytorch/text) (π¨βπ» 98 Β· π 580 Β· π¦ 3.3K Β· π 570 - 45% open Β· β±οΈ 04.12.2020):
```
git clone https://github.com/pytorch/text
```
-- **[PyPi](https://pypi.org/project/torchtext)** (π₯ 140K / month Β· π¦ 680 Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/torchtext) (π₯ 140K / month Β· π¦ 680 Β· β±οΈ 10.12.2020):
```
pip install torchtext
```
TextBlob (π₯29 Β· β 7.4K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun.. MIT
+TextBlob (π₯29 Β· β 7.4K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
-- **[GitHub](https://github.com/sloria/TextBlob)** (π¨βπ» 33 Β· π 950 Β· π₯ 88 Β· π¦ 9.3K Β· π 220 - 31% open Β· β±οΈ 13.11.2020):
+- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 33 Β· π 950 Β· π₯ 88 Β· π¦ 9.3K Β· π 220 - 31% open Β· β±οΈ 13.11.2020):
```
git clone https://github.com/sloria/TextBlob
```
-- **[PyPi](https://pypi.org/project/textblob)** (π₯ 300K / month Β· π¦ 2.5K Β· β±οΈ 24.02.2019):
+- [PyPi](https://pypi.org/project/textblob) (π₯ 290K / month Β· π¦ 2.5K Β· β±οΈ 24.02.2019):
```
pip install textblob
```
Tokenizers (π₯28 Β· β 4.1K) - Fast State-of-the-Art Tokenizers optimized for Research and Production. Apache-2
+Tokenizers (π₯28 Β· β 4.1K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- **[GitHub](https://github.com/huggingface/tokenizers)** (π¨βπ» 39 Β· π 290 Β· π¦ 20 Β· π 340 - 23% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 39 Β· π 290 Β· π¦ 20 Β· π 340 - 23% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/huggingface/tokenizers
```
-- **[PyPi](https://pypi.org/project/tokenizers)** (π₯ 1.1M / month Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/tokenizers) (π₯ 1M / month Β· β±οΈ 08.12.2020):
```
pip install tokenizers
```
Dedupe (π₯28 Β· β 2.8K) - A python library for accurate and scalable fuzzy matching, record deduplication and.. MIT
+Dedupe (π₯28 Β· β 2.8K) - A python library for accurate and scalable fuzzy matching, record.. MIT
-- **[GitHub](https://github.com/dedupeio/dedupe)** (π¨βπ» 55 Β· π 400 Β· π¦ 170 Β· π 620 - 7% open Β· β±οΈ 09.11.2020):
+- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 55 Β· π 400 Β· π¦ 170 Β· π 620 - 7% open Β· β±οΈ 09.11.2020):
```
git clone https://github.com/dedupeio/dedupe
```
-- **[PyPi](https://pypi.org/project/dedupe)** (π₯ 49K / month Β· π¦ 78 Β· β±οΈ 06.09.2020):
+- [PyPi](https://pypi.org/project/dedupe) (π₯ 50K / month Β· π¦ 78 Β· β±οΈ 06.09.2020):
```
pip install dedupe
@@ -1410,25 +1410,25 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
phonenumbers (π₯28 Β· β 2.6K) - Python port of Google's libphonenumber. Apache-2
-- **[GitHub](https://github.com/daviddrysdale/python-phonenumbers)** (π¨βπ» 22 Β· π 320 Β· π 110 - 2% open Β· β±οΈ 03.12.2020):
+- [GitHub](https://github.com/daviddrysdale/python-phonenumbers) (π¨βπ» 22 Β· π 320 Β· π 110 - 2% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/daviddrysdale/python-phonenumbers
```
-- **[PyPi](https://pypi.org/project/phonenumbers)** (π₯ 840K / month Β· π¦ 2.3K Β· β±οΈ 04.12.2020):
+- [PyPi](https://pypi.org/project/phonenumbers) (π₯ 850K / month Β· π¦ 2.3K Β· β±οΈ 16.12.2020):
```
pip install phonenumbers
```
inflect (π₯28 Β· β 460) - Correctly generate plurals, ordinals, indefinite articles; convert numbers to words. MIT
+inflect (π₯28 Β· β 460) - Correctly generate plurals, ordinals, indefinite articles; convert.. MIT
-- **[GitHub](https://github.com/jaraco/inflect)** (π¨βπ» 25 Β· π 57 Β· π 71 - 18% open Β· β±οΈ 15.11.2020):
+- [GitHub](https://github.com/jaraco/inflect) (π¨βπ» 25 Β· π 57 Β· π 71 - 18% open Β· β±οΈ 15.11.2020):
```
git clone https://github.com/jaraco/inflect
```
-- **[PyPi](https://pypi.org/project/inflect)** (π₯ 1M / month Β· π¦ 1.4K Β· β±οΈ 15.11.2020):
+- [PyPi](https://pypi.org/project/inflect) (π₯ 1M / month Β· π¦ 1.4K Β· β±οΈ 15.11.2020):
```
pip install inflect
@@ -1436,25 +1436,25 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
OpenNMT (π₯27 Β· β 4.7K) - Open Source Neural Machine Translation in PyTorch. MIT
-- **[GitHub](https://github.com/OpenNMT/OpenNMT-py)** (π¨βπ» 160 Β· π 1.7K Β· π¦ 62 Β· π 1.2K - 7% open Β· β±οΈ 09.12.2020):
+- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 160 Β· π 1.7K Β· π¦ 62 Β· π 1.2K - 7% open Β· β±οΈ 09.12.2020):
```
git clone https://github.com/OpenNMT/OpenNMT-py
```
-- **[PyPi](https://pypi.org/project/OpenNMT-py)** (π₯ 4K / month Β· π¦ 4 Β· β±οΈ 10.11.2020):
+- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 3.8K / month Β· π¦ 4 Β· β±οΈ 10.11.2020):
```
pip install OpenNMT-py
```
GluonNLP (π₯27 Β· β 2.2K) - Toolkit that enables easy text preprocessing, datasets loading and neural.. Apache-2
+GluonNLP (π₯27 Β· β 2.2K) - Toolkit that enables easy text preprocessing, datasets.. Apache-2
-- **[GitHub](https://github.com/dmlc/gluon-nlp)** (π¨βπ» 72 Β· π 490 Β· π¦ 340 Β· π 510 - 44% open Β· β±οΈ 08.10.2020):
+- [GitHub](https://github.com/dmlc/gluon-nlp) (π¨βπ» 72 Β· π 490 Β· π¦ 340 Β· π 510 - 44% open Β· β±οΈ 08.10.2020):
```
git clone https://github.com/dmlc/gluon-nlp
```
-- **[PyPi](https://pypi.org/project/gluonnlp)** (π₯ 39K / month Β· π¦ 11 Β· β±οΈ 13.08.2020):
+- [PyPi](https://pypi.org/project/gluonnlp) (π₯ 38K / month Β· π¦ 11 Β· β±οΈ 13.08.2020):
```
pip install gluonnlp
@@ -1462,25 +1462,25 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
textacy (π₯27 Β· β 1.6K) - NLP, before and after spaCy. Apache-2
-- **[GitHub](https://github.com/chartbeat-labs/textacy)** (π¨βπ» 28 Β· π 210 Β· π 220 - 13% open Β· β±οΈ 06.12.2020):
+- [GitHub](https://github.com/chartbeat-labs/textacy) (π¨βπ» 28 Β· π 210 Β· π 220 - 13% open Β· β±οΈ 06.12.2020):
```
git clone https://github.com/chartbeat-labs/textacy
```
-- **[PyPi](https://pypi.org/project/textacy)** (π₯ 35K / month Β· π¦ 77 Β· β±οΈ 29.08.2020):
+- [PyPi](https://pypi.org/project/textacy) (π₯ 34K / month Β· π¦ 77 Β· β±οΈ 29.08.2020):
```
pip install textacy
```
DeepPavlov (π₯26 Β· β 4.9K) - An open source library for deep learning end-to-end dialog systems and.. Apache-2
+DeepPavlov (π₯26 Β· β 4.9K) - An open source library for deep learning end-to-end dialog.. Apache-2
-- **[GitHub](https://github.com/deepmipt/DeepPavlov)** (π¨βπ» 60 Β· π 870 Β· π¦ 160 Β· π 510 - 12% open Β· β±οΈ 13.11.2020):
+- [GitHub](https://github.com/deepmipt/DeepPavlov) (π¨βπ» 60 Β· π 870 Β· π¦ 160 Β· π 510 - 12% open Β· β±οΈ 13.11.2020):
```
git clone https://github.com/deepmipt/DeepPavlov
```
-- **[PyPi](https://pypi.org/project/deeppavlov)** (π₯ 7K / month Β· π¦ 4 Β· β±οΈ 13.11.2020):
+- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 7K / month Β· π¦ 4 Β· β±οΈ 13.11.2020):
```
pip install deeppavlov
@@ -1488,12 +1488,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TensorFlow Text (π₯26 Β· β 670) - Making text a first-class citizen in TensorFlow. Apache-2
-- **[GitHub](https://github.com/tensorflow/text)** (π¨βπ» 30 Β· π 81 Β· π¦ 370 Β· π 120 - 34% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 30 Β· π 84 Β· π¦ 370 Β· π 120 - 34% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/tensorflow/text
```
-- **[PyPi](https://pypi.org/project/tensorflow-text)** (π₯ 120K / month Β· π¦ 2 Β· β±οΈ 16.11.2020):
+- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 120K / month Β· π¦ 4 Β· β±οΈ 16.11.2020):
```
pip install tensorflow-text
@@ -1501,12 +1501,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
ftfy (π₯25 Β· β 2.9K) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT
-- **[GitHub](https://github.com/LuminosoInsight/python-ftfy)** (π¨βπ» 17 Β· π 98 Β· π¦ 2.5K Β· π 100 - 11% open Β· β±οΈ 17.07.2020):
+- [GitHub](https://github.com/LuminosoInsight/python-ftfy) (π¨βπ» 17 Β· π 98 Β· π¦ 2.5K Β· π 100 - 11% open Β· β±οΈ 17.07.2020):
```
git clone https://github.com/LuminosoInsight/python-ftfy
```
-- **[PyPi](https://pypi.org/project/ftfy)** (π₯ 270K / month Β· π¦ 760 Β· β±οΈ 20.07.2020):
+- [PyPi](https://pypi.org/project/ftfy) (π₯ 260K / month Β· π¦ 760 Β· β±οΈ 20.07.2020):
```
pip install ftfy
@@ -1514,12 +1514,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Sumy (π₯25 Β· β 2.4K) - Module for automatic summarization of text documents and HTML pages. Apache-2
-- **[GitHub](https://github.com/miso-belica/sumy)** (π¨βπ» 20 Β· π 430 Β· π¦ 610 Β· π 88 - 11% open Β· β±οΈ 21.11.2020):
+- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 20 Β· π 430 Β· π¦ 610 Β· π 88 - 11% open Β· β±οΈ 21.11.2020):
```
git clone https://github.com/miso-belica/sumy
```
-- **[PyPi](https://pypi.org/project/sumy)** (π₯ 9.2K / month Β· π¦ 190 Β· β±οΈ 19.05.2019):
+- [PyPi](https://pypi.org/project/sumy) (π₯ 9.1K / month Β· π¦ 190 Β· β±οΈ 19.05.2019):
```
pip install sumy
@@ -1527,30 +1527,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Jina (π₯25 Β· β 1.7K) - An easier way to build neural search in the cloud. Apache-2
-- **[GitHub](https://github.com/jina-ai/jina)** (π¨βπ» 72 Β· π 290 Β· π¦ 39 Β· π 510 - 7% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/jina-ai/jina) (π¨βπ» 72 Β· π 290 Β· π¦ 39 Β· π 510 - 7% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/jina-ai/jina
```
-- **[PyPi](https://pypi.org/project/jina)** (π₯ 1.2K / month Β· β±οΈ 15.12.2020):
+- [PyPi](https://pypi.org/project/jina) (π₯ 1.3K / month Β· β±οΈ 15.12.2020):
```
pip install jina
```
-- **[Dockerhub](https://hub.docker.com/r/jinaai/jina)** (π₯ 61K Β· β±οΈ 15.12.2020):
+- [Dockerhub](https://hub.docker.com/r/jinaai/jina) (π₯ 61K Β· β±οΈ 16.12.2020):
```
docker pull jinaai/jina
```
jellyfish (π₯25 Β· β 1.4K) - a python library for doing approximate and phonetic matching of strings. BSD-2
+jellyfish (π₯25 Β· β 1.4K) - a python library for doing approximate and phonetic matching of.. BSD-2
-- **[GitHub](https://github.com/jamesturk/jellyfish)** (π¨βπ» 19 Β· π 120 Β· π¦ 1.9K Β· π 95 - 9% open Β· β±οΈ 08.12.2020):
+- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 19 Β· π 120 Β· π¦ 1.9K Β· π 95 - 9% open Β· β±οΈ 08.12.2020):
```
git clone https://github.com/jamesturk/jellyfish
```
-- **[PyPi](https://pypi.org/project/jellyfish)** (π₯ 850K / month Β· π¦ 650 Β· β±οΈ 21.05.2020):
+- [PyPi](https://pypi.org/project/jellyfish) (π₯ 830K / month Β· π¦ 650 Β· β±οΈ 21.05.2020):
```
pip install jellyfish
@@ -1558,25 +1558,25 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
CLTK (π₯25 Β· β 620) - The Classical Language Toolkit. MIT
-- **[GitHub](https://github.com/cltk/cltk)** (π¨βπ» 110 Β· π 300 Β· π₯ 21 Β· π¦ 140 Β· π 480 - 26% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 110 Β· π 300 Β· π₯ 21 Β· π¦ 140 Β· π 480 - 26% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/cltk/cltk
```
-- **[PyPi](https://pypi.org/project/cltk)** (π₯ 1.2K / month Β· π¦ 68 Β· β±οΈ 03.12.2020):
+- [PyPi](https://pypi.org/project/cltk) (π₯ 1.2K / month Β· π¦ 68 Β· β±οΈ 03.12.2020):
```
pip install cltk
```
ParlAI (π₯24 Β· β 6.8K) - A framework for training and evaluating AI models on a variety of openly available.. MIT
+ParlAI (π₯24 Β· β 6.8K) - A framework for training and evaluating AI models on a variety of.. MIT
-- **[GitHub](https://github.com/facebookresearch/ParlAI)** (π¨βπ» 130 Β· π 1.4K Β· π¦ 4 Β· π 900 - 12% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 130 Β· π 1.4K Β· π¦ 4 Β· π 900 - 12% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/facebookresearch/ParlAI
```
-- **[PyPi](https://pypi.org/project/parlai)** (π₯ 650 / month Β· β±οΈ 16.10.2020):
+- [PyPi](https://pypi.org/project/parlai) (π₯ 660 / month Β· β±οΈ 16.10.2020):
```
pip install parlai
@@ -1584,12 +1584,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
PyText (π₯24 Β· β 6.1K) - A natural language modeling framework based on PyTorch. BSD-3
-- **[GitHub](https://github.com/facebookresearch/pytext)** (π¨βπ» 140 Β· π 750 Β· π₯ 200 Β· π¦ 52 Β· π 190 - 60% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/facebookresearch/pytext) (π¨βπ» 140 Β· π 760 Β· π₯ 210 Β· π¦ 52 Β· π 190 - 60% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/facebookresearch/pytext
```
-- **[PyPi](https://pypi.org/project/pytext-nlp)** (π₯ 330 / month Β· π¦ 1 Β· β±οΈ 27.04.2020):
+- [PyPi](https://pypi.org/project/pytext-nlp) (π₯ 350 / month Β· π¦ 1 Β· β±οΈ 27.04.2020):
```
pip install pytext-nlp
@@ -1597,87 +1597,87 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
stanza (π₯24 Β· β 4.9K) - Official Stanford NLP Python Library for Many Human Languages. Apache-2
-- **[GitHub](https://github.com/stanfordnlp/stanza)** (π¨βπ» 28 Β· π 620 Β· π 420 - 16% open Β· β±οΈ 13.08.2020):
+- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 28 Β· π 620 Β· π 420 - 16% open Β· β±οΈ 13.08.2020):
```
git clone https://github.com/stanfordnlp/stanza
```
-- **[PyPi](https://pypi.org/project/stanza)** (π₯ 16K / month Β· π¦ 2 Β· β±οΈ 13.08.2020):
+- [PyPi](https://pypi.org/project/stanza) (π₯ 16K / month Β· π¦ 2 Β· β±οΈ 13.08.2020):
```
pip install stanza
```
-- **[Conda](https://anaconda.org/stanfordnlp/stanza)**:
+- [Conda](https://anaconda.org/stanfordnlp/stanza):
```
conda install -c stanfordnlp stanza
```
T5 (π₯24 Β· β 3K) - Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-.. Apache-2
+T5 (π₯24 Β· β 3K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
-- **[GitHub](https://github.com/google-research/text-to-text-transfer-transformer)** (π¨βπ» 28 Β· π 400 Β· π¦ 18 Β· π 300 - 10% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 28 Β· π 400 Β· π¦ 18 Β· π 300 - 10% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- **[PyPi](https://pypi.org/project/t5)** (π₯ 4.8K / month Β· β±οΈ 26.10.2020):
+- [PyPi](https://pypi.org/project/t5) (π₯ 4.9K / month Β· β±οΈ 26.10.2020):
```
pip install t5
```
TextDistance (π₯24 Β· β 1.8K Β· π€) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
+TextDistance (π₯24 Β· β 1.8K Β· π€) - Compute distance between sequences. 30+ algorithms, pure.. MIT
-- **[GitHub](https://github.com/life4/textdistance)** (π¨βπ» 7 Β· π 160 Β· π₯ 96 Β· π¦ 260 Β· β±οΈ 13.04.2020):
+- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 7 Β· π 160 Β· π₯ 96 Β· π¦ 260 Β· β±οΈ 13.04.2020):
```
git clone https://github.com/life4/textdistance
```
-- **[PyPi](https://pypi.org/project/textdistance)** (π₯ 100K / month Β· π¦ 28 Β· β±οΈ 13.04.2020):
+- [PyPi](https://pypi.org/project/textdistance) (π₯ 100K / month Β· π¦ 28 Β· β±οΈ 13.04.2020):
```
pip install textdistance
```
PyTextRank (π₯24 Β· β 1.4K) - Python implementation of TextRank for phrase extraction and summarization of text.. MIT
+PyTextRank (π₯24 Β· β 1.4K) - Python implementation of TextRank for phrase extraction and.. MIT
-- **[GitHub](https://github.com/DerwenAI/pytextrank)** (π¨βπ» 10 Β· π 280 Β· π¦ 120 Β· π 52 - 28% open Β· β±οΈ 21.09.2020):
+- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 10 Β· π 280 Β· π¦ 120 Β· π 52 - 28% open Β· β±οΈ 21.09.2020):
```
git clone https://github.com/DerwenAI/pytextrank
```
-- **[PyPi](https://pypi.org/project/pytextrank)** (π₯ 12K / month Β· π¦ 6 Β· β±οΈ 15.09.2020):
+- [PyPi](https://pypi.org/project/pytextrank) (π₯ 12K / month Β· π¦ 6 Β· β±οΈ 15.09.2020):
```
pip install pytextrank
```
SciSpacy (π₯24 Β· β 760) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
+SciSpacy (π₯24 Β· β 760) - A full spaCy pipeline and models for scientific/biomedical.. Apache-2
-- **[GitHub](https://github.com/allenai/scispacy)** (π¨βπ» 14 Β· π 110 Β· π¦ 180 Β· π 140 - 12% open Β· β±οΈ 10.11.2020):
+- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 14 Β· π 120 Β· π¦ 180 Β· π 140 - 12% open Β· β±οΈ 10.11.2020):
```
git clone https://github.com/allenai/scispacy
```
-- **[PyPi](https://pypi.org/project/scispacy)** (π₯ 12K / month Β· π¦ 12 Β· β±οΈ 16.10.2020):
+- [PyPi](https://pypi.org/project/scispacy) (π₯ 12K / month Β· π¦ 12 Β· β±οΈ 16.10.2020):
```
pip install scispacy
```
Ciphey (π₯23 Β· β 5.8K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT
+Ciphey (π₯23 Β· β 5.9K) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
-- **[GitHub](https://github.com/Ciphey/Ciphey)** (π¨βπ» 38 Β· π 330 Β· π 210 - 21% open Β· β±οΈ 07.12.2020):
+- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 38 Β· π 330 Β· π 210 - 21% open Β· β±οΈ 07.12.2020):
```
git clone https://github.com/Ciphey/Ciphey
```
-- **[PyPi](https://pypi.org/project/ciphey)** (π₯ 2.7K / month Β· β±οΈ 02.12.2020):
+- [PyPi](https://pypi.org/project/ciphey) (π₯ 2.8K / month Β· β±οΈ 02.12.2020):
```
pip install ciphey
```
-- **[Dockerhub](https://hub.docker.com/r/remnux/ciphey)** (π₯ 6.9K Β· β 1 Β· β±οΈ 09.12.2020):
+- [Dockerhub](https://hub.docker.com/r/remnux/ciphey) (π₯ 6.9K Β· β 1 Β· β±οΈ 09.12.2020):
```
docker pull remnux/ciphey
@@ -1685,12 +1685,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
flashtext (π₯23 Β· β 4.6K Β· π€) - Extract Keywords from sentence or Replace keywords in sentences. MIT
-- **[GitHub](https://github.com/vi3k6i5/flashtext)** (π¨βπ» 8 Β· π 520 Β· π¦ 320 Β· π 96 - 50% open Β· β±οΈ 03.05.2020):
+- [GitHub](https://github.com/vi3k6i5/flashtext) (π¨βπ» 8 Β· π 520 Β· π¦ 320 Β· π 96 - 50% open Β· β±οΈ 03.05.2020):
```
git clone https://github.com/vi3k6i5/flashtext
```
-- **[PyPi](https://pypi.org/project/flashtext)** (π₯ 250K / month Β· π¦ 32 Β· β±οΈ 16.02.2018):
+- [PyPi](https://pypi.org/project/flashtext) (π₯ 250K / month Β· π¦ 32 Β· β±οΈ 16.02.2018):
```
pip install flashtext
@@ -1698,38 +1698,38 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pytorch-nlp (π₯23 Β· β 1.8K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3
-- **[GitHub](https://github.com/PetrochukM/PyTorch-NLP)** (π¨βπ» 17 Β· π 220 Β· π¦ 160 Β· π 63 - 22% open Β· β±οΈ 11.10.2020):
+- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (π¨βπ» 17 Β· π 220 Β· π¦ 160 Β· π 63 - 22% open Β· β±οΈ 11.10.2020):
```
git clone https://github.com/PetrochukM/PyTorch-NLP
```
-- **[PyPi](https://pypi.org/project/pytorch-nlp)** (π₯ 4.3K / month Β· π¦ 18 Β· β±οΈ 04.11.2019):
+- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 4.2K / month Β· π¦ 18 Β· β±οΈ 04.11.2019):
```
pip install pytorch-nlp
```
pyahocorasick (π₯23 Β· β 560 Β· π€) - Python module (C extension and plain python) implementing Aho-Corasick.. BSD-3
+pyahocorasick (π₯23 Β· β 560 Β· π€) - Python module (C extension and plain python) implementing.. BSD-3
-- **[GitHub](https://github.com/WojciechMula/pyahocorasick)** (π¨βπ» 19 Β· π 84 Β· π¦ 440 Β· π 92 - 31% open Β· β±οΈ 06.04.2020):
+- [GitHub](https://github.com/WojciechMula/pyahocorasick) (π¨βπ» 19 Β· π 84 Β· π¦ 440 Β· π 92 - 31% open Β· β±οΈ 06.04.2020):
```
git clone https://github.com/WojciechMula/pyahocorasick
```
-- **[PyPi](https://pypi.org/project/pyahocorasick)** (π₯ 160K / month Β· π¦ 64 Β· β±οΈ 14.01.2019):
+- [PyPi](https://pypi.org/project/pyahocorasick) (π₯ 150K / month Β· π¦ 64 Β· β±οΈ 14.01.2019):
```
pip install pyahocorasick
```
pySBD (π₯23 Β· β 240) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary.. MIT
+pySBD (π₯23 Β· β 240) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
-- **[GitHub](https://github.com/nipunsadvilkar/pySBD)** (π¨βπ» 6 Β· π 25 Β· π¦ 88 Β· π 47 - 8% open Β· β±οΈ 01.12.2020):
+- [GitHub](https://github.com/nipunsadvilkar/pySBD) (π¨βπ» 6 Β· π 25 Β· π¦ 89 Β· π 47 - 8% open Β· β±οΈ 01.12.2020):
```
git clone https://github.com/nipunsadvilkar/pySBD
```
-- **[PyPi](https://pypi.org/project/pysbd)** (π₯ 15K / month Β· π¦ 2 Β· β±οΈ 08.10.2020):
+- [PyPi](https://pypi.org/project/pysbd) (π₯ 15K / month Β· π¦ 2 Β· β±οΈ 08.10.2020):
```
pip install pysbd
@@ -1737,25 +1737,25 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Snips NLU (π₯22 Β· β 3.4K Β· π€) - Snips Python library to extract meaning from text. Apache-2
-- **[GitHub](https://github.com/snipsco/snips-nlu)** (π¨βπ» 21 Β· π 450 Β· π 250 - 20% open Β· β±οΈ 08.02.2020):
+- [GitHub](https://github.com/snipsco/snips-nlu) (π¨βπ» 21 Β· π 450 Β· π 250 - 20% open Β· β±οΈ 08.02.2020):
```
git clone https://github.com/snipsco/snips-nlu
```
-- **[PyPi](https://pypi.org/project/snips-nlu)** (π₯ 1.9K / month Β· π¦ 8 Β· β±οΈ 15.01.2020):
+- [PyPi](https://pypi.org/project/snips-nlu) (π₯ 1.9K / month Β· π¦ 8 Β· β±οΈ 15.01.2020):
```
pip install snips-nlu
```
scattertext (π₯22 Β· β 1.5K) - Beautiful visualizations of how language differs among document types. Apache-2
+scattertext (π₯22 Β· β 1.5K) - Beautiful visualizations of how language differs among.. Apache-2
-- **[GitHub](https://github.com/JasonKessler/scattertext)** (π¨βπ» 10 Β· π 200 Β· π¦ 130 Β· π 66 - 24% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 10 Β· π 200 Β· π¦ 130 Β· π 66 - 24% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/JasonKessler/scattertext
```
-- **[PyPi](https://pypi.org/project/scattertext)** (π₯ 3.1K / month Β· π¦ 8 Β· β±οΈ 14.12.2020):
+- [PyPi](https://pypi.org/project/scattertext) (π₯ 3K / month Β· π¦ 8 Β· β±οΈ 14.12.2020):
```
pip install scattertext
@@ -1763,38 +1763,38 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
fast-bert (π₯22 Β· β 1.5K) - Super easy library for BERT based NLP models. Apache-2
-- **[GitHub](https://github.com/kaushaltrivedi/fast-bert)** (π¨βπ» 34 Β· π 300 Β· π 230 - 60% open Β· β±οΈ 09.12.2020):
+- [GitHub](https://github.com/kaushaltrivedi/fast-bert) (π¨βπ» 34 Β· π 300 Β· π 230 - 60% open Β· β±οΈ 09.12.2020):
```
git clone https://github.com/kaushaltrivedi/fast-bert
```
-- **[PyPi](https://pypi.org/project/fast-bert)** (π₯ 2.1K / month Β· π¦ 2 Β· β±οΈ 09.12.2020):
+- [PyPi](https://pypi.org/project/fast-bert) (π₯ 2.1K / month Β· π¦ 2 Β· β±οΈ 09.12.2020):
```
pip install fast-bert
```
spacy-transformers (π₯22 Β· β 850) - Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy. MIT spacy
+spacy-transformers (π₯22 Β· β 850) - Use pretrained transformers like BERT, XLNet and GPT-2 in.. MIT spacy
-- **[GitHub](https://github.com/explosion/spacy-transformers)** (π¨βπ» 14 Β· π 97 Β· π¦ 64 Β· π 180 - 26% open Β· β±οΈ 08.12.2020):
+- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 14 Β· π 97 Β· π¦ 64 Β· π 180 - 26% open Β· β±οΈ 08.12.2020):
```
git clone https://github.com/explosion/spacy-transformers
```
-- **[PyPi](https://pypi.org/project/spacy-transformers)** (π₯ 7.3K / month Β· π¦ 3 Β· β±οΈ 14.10.2020):
+- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 7.8K / month Β· π¦ 3 Β· β±οΈ 14.10.2020):
```
pip install spacy-transformers
```
NLP Architect (π₯21 Β· β 2.6K) - A model library for exploring state-of-the-art deep learning topologies.. Apache-2
+NLP Architect (π₯21 Β· β 2.6K) - A model library for exploring state-of-the-art deep learning.. Apache-2
-- **[GitHub](https://github.com/IntelLabs/nlp-architect)** (π¨βπ» 35 Β· π 390 Β· π¦ 6 Β· π 120 - 13% open Β· β±οΈ 26.11.2020):
+- [GitHub](https://github.com/IntelLabs/nlp-architect) (π¨βπ» 35 Β· π 390 Β· π¦ 6 Β· π 120 - 13% open Β· β±οΈ 26.11.2020):
```
git clone https://github.com/IntelLabs/nlp-architect
```
-- **[PyPi](https://pypi.org/project/nlp-architect)** (π₯ 260 / month Β· β±οΈ 12.04.2020):
+- [PyPi](https://pypi.org/project/nlp-architect) (π₯ 260 / month Β· β±οΈ 12.04.2020):
```
pip install nlp-architect
@@ -1802,25 +1802,25 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
NeMo (π₯21 Β· β 2.2K) - NeMo: a toolkit for conversational AI. Apache-2
-- **[GitHub](https://github.com/NVIDIA/NeMo)** (π¨βπ» 64 Β· π 360 Β· π₯ 320 Β· π 390 - 40% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 64 Β· π 360 Β· π₯ 370 Β· π 390 - 40% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/NVIDIA/NeMo
```
-- **[PyPi](https://pypi.org/project/nemo-toolkit)** (π₯ 2.4K / month Β· π¦ 4 Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 2.4K / month Β· π¦ 4 Β· β±οΈ 11.12.2020):
```
pip install nemo-toolkit
```
Texar (π₯21 Β· β 2.1K) - Toolkit for Machine Learning, Natural Language Processing, and Text.. Apache-2
+Texar (π₯21 Β· β 2.1K) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2
-- **[GitHub](https://github.com/asyml/texar)** (π¨βπ» 41 Β· π 330 Β· π¦ 12 Β· π 160 - 20% open Β· β±οΈ 29.07.2020):
+- [GitHub](https://github.com/asyml/texar) (π¨βπ» 41 Β· π 330 Β· π¦ 12 Β· π 160 - 20% open Β· β±οΈ 29.07.2020):
```
git clone https://github.com/asyml/texar
```
-- **[PyPi](https://pypi.org/project/texar)** (π₯ 130 / month Β· π¦ 2 Β· β±οΈ 19.11.2019):
+- [PyPi](https://pypi.org/project/texar) (π₯ 130 / month Β· π¦ 2 Β· β±οΈ 19.11.2019):
```
pip install texar
@@ -1828,82 +1828,82 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Texthero (π₯21 Β· β 2K) - Text preprocessing, representation and visualization from zero to hero. MIT
-- **[GitHub](https://github.com/jbesomi/texthero)** (π¨βπ» 18 Β· π 180 Β· π₯ 54 Β· π 120 - 60% open Β· β±οΈ 03.11.2020):
+- [GitHub](https://github.com/jbesomi/texthero) (π¨βπ» 18 Β· π 180 Β· π₯ 55 Β· π 120 - 60% open Β· β±οΈ 03.11.2020):
```
git clone https://github.com/jbesomi/texthero
```
-- **[PyPi](https://pypi.org/project/texthero)** (π₯ 3.5K / month Β· β±οΈ 06.07.2020):
+- [PyPi](https://pypi.org/project/texthero) (π₯ 3.5K / month Β· β±οΈ 06.07.2020):
```
pip install texthero
```
DELTA (π₯21 Β· β 1.4K) - DELTA is a deep learning based natural language and speech processing platform. Apache-2
+DELTA (π₯21 Β· β 1.4K) - DELTA is a deep learning based natural language and speech.. Apache-2
-- **[GitHub](https://github.com/Delta-ML/delta)** (π¨βπ» 41 Β· π 270 Β· π 73 - 12% open Β· β±οΈ 25.11.2020):
+- [GitHub](https://github.com/Delta-ML/delta) (π¨βπ» 41 Β· π 270 Β· π 73 - 12% open Β· β±οΈ 25.11.2020):
```
git clone https://github.com/Delta-ML/delta
```
-- **[PyPi](https://pypi.org/project/delta-nlp)** (π₯ 37 / month Β· β±οΈ 27.03.2020):
+- [PyPi](https://pypi.org/project/delta-nlp) (π₯ 34 / month Β· β±οΈ 27.03.2020):
```
pip install delta-nlp
```
-- **[Dockerhub](https://hub.docker.com/r/zh794390558/delta)** (π₯ 12K Β· β±οΈ 15.12.2020):
+- [Dockerhub](https://hub.docker.com/r/zh794390558/delta) (π₯ 12K Β· β±οΈ 15.12.2020):
```
docker pull zh794390558/delta
```
DeepMatcher (π₯20 Β· β 3.3K Β· π€) - Python package for performing Entity and Text Matching using Deep Learning. BSD-3
+DeepMatcher (π₯20 Β· β 3.3K Β· π€) - Python package for performing Entity and Text Matching using.. BSD-3
-- **[GitHub](https://github.com/anhaidgroup/deepmatcher)** (π¨βπ» 7 Β· π 1.2K Β· π¦ 9 Β· π 62 - 75% open Β· β±οΈ 20.04.2020):
+- [GitHub](https://github.com/anhaidgroup/deepmatcher) (π¨βπ» 7 Β· π 1.2K Β· π¦ 9 Β· π 62 - 75% open Β· β±οΈ 20.04.2020):
```
git clone https://github.com/anhaidgroup/deepmatcher
```
-- **[PyPi](https://pypi.org/project/deepmatcher)** (π₯ 340 / month Β· β±οΈ 30.12.2019):
+- [PyPi](https://pypi.org/project/deepmatcher) (π₯ 340 / month Β· β±οΈ 30.12.2019):
```
pip install deepmatcher
```
Kashgari (π₯20 Β· β 2K) - Kashgari is a production-level NLP Transfer learning framework built on top.. Apache-2
+Kashgari (π₯20 Β· β 2K) - Kashgari is a production-level NLP Transfer learning framework.. Apache-2
-- **[GitHub](https://github.com/BrikerMan/Kashgari)** (π¨βπ» 19 Β· π 370 Β· π¦ 19 Β· π 320 - 8% open Β· β±οΈ 29.10.2020):
+- [GitHub](https://github.com/BrikerMan/Kashgari) (π¨βπ» 19 Β· π 370 Β· π¦ 19 Β· π 320 - 8% open Β· β±οΈ 29.10.2020):
```
git clone https://github.com/BrikerMan/Kashgari
```
-- **[PyPi](https://pypi.org/project/kashgari-tf)** (π₯ 230 / month Β· π¦ 1 Β· β±οΈ 26.06.2019):
+- [PyPi](https://pypi.org/project/kashgari-tf) (π₯ 240 / month Β· π¦ 1 Β· β±οΈ 26.06.2019):
```
pip install kashgari-tf
```
FARM (π₯20 Β· β 1K) - Fast & easy transfer learning for NLP. Harvesting language models for the.. Apache-2
+FARM (π₯20 Β· β 1K) - Fast & easy transfer learning for NLP. Harvesting language models.. Apache-2
-- **[GitHub](https://github.com/deepset-ai/FARM)** (π¨βπ» 28 Β· π 140 Β· π 310 - 10% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/deepset-ai/FARM) (π¨βπ» 28 Β· π 140 Β· π 310 - 10% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/deepset-ai/FARM
```
-- **[PyPi](https://pypi.org/project/farm)** (π₯ 7.1K / month Β· π¦ 1 Β· β±οΈ 30.10.2020):
+- [PyPi](https://pypi.org/project/farm) (π₯ 7K / month Β· π¦ 1 Β· β±οΈ 30.10.2020):
```
pip install farm
```
Sockeye (π₯20 Β· β 980) - Sequence-to-sequence framework with a focus on Neural Machine Translation.. Apache-2
+Sockeye (π₯20 Β· β 980) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
-- **[GitHub](https://github.com/awslabs/sockeye)** (π¨βπ» 52 Β· π 290 Β· π 240 - 7% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 52 Β· π 290 Β· π 240 - 7% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/awslabs/sockeye
```
-- **[PyPi](https://pypi.org/project/sockeye)** (π₯ 650 / month Β· π¦ 2 Β· β±οΈ 05.11.2020):
+- [PyPi](https://pypi.org/project/sockeye) (π₯ 650 / month Β· π¦ 2 Β· β±οΈ 05.11.2020):
```
pip install sockeye
@@ -1911,12 +1911,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
YouTokenToMe (π₯20 Β· β 700 Β· π€) - Unsupervised text tokenizer focused on computational efficiency. MIT
-- **[GitHub](https://github.com/VKCOM/YouTokenToMe)** (π¨βπ» 6 Β· π 42 Β· π¦ 88 Β· π 41 - 51% open Β· β±οΈ 13.02.2020):
+- [GitHub](https://github.com/VKCOM/YouTokenToMe) (π¨βπ» 6 Β· π 42 Β· π¦ 88 Β· π 41 - 51% open Β· β±οΈ 13.02.2020):
```
git clone https://github.com/vkcom/youtokentome
```
-- **[PyPi](https://pypi.org/project/youtokentome)** (π₯ 7.1K / month Β· π¦ 6 Β· β±οΈ 12.02.2020):
+- [PyPi](https://pypi.org/project/youtokentome) (π₯ 7.2K / month Β· π¦ 6 Β· β±οΈ 12.02.2020):
```
pip install youtokentome
@@ -1924,12 +1924,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
finetune (π₯19 Β· β 630) - Scikit-learn style model finetuning for NLP. MPL-2.0
-- **[GitHub](https://github.com/IndicoDataSolutions/finetune)** (π¨βπ» 18 Β· π 68 Β· π¦ 7 Β· π 130 - 13% open Β· β±οΈ 24.11.2020):
+- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 18 Β· π 68 Β· π¦ 7 Β· π 130 - 13% open Β· β±οΈ 24.11.2020):
```
git clone https://github.com/IndicoDataSolutions/finetune
```
-- **[PyPi](https://pypi.org/project/finetune)** (π₯ 190 / month Β· π¦ 2 Β· β±οΈ 10.01.2020):
+- [PyPi](https://pypi.org/project/finetune) (π₯ 210 / month Β· π¦ 2 Β· β±οΈ 10.01.2020):
```
pip install finetune
@@ -1937,12 +1937,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
textpipe (π₯19 Β· β 260) - Textpipe: clean and extract metadata from text. MIT
-- **[GitHub](https://github.com/textpipe/textpipe)** (π¨βπ» 27 Β· π 17 Β· π¦ 6 Β· π 44 - 45% open Β· β±οΈ 12.10.2020):
+- [GitHub](https://github.com/textpipe/textpipe) (π¨βπ» 27 Β· π 17 Β· π¦ 6 Β· π 44 - 45% open Β· β±οΈ 12.10.2020):
```
git clone https://github.com/textpipe/textpipe
```
-- **[PyPi](https://pypi.org/project/textpipe)** (π₯ 540 / month Β· π¦ 1 Β· β±οΈ 12.10.2020):
+- [PyPi](https://pypi.org/project/textpipe) (π₯ 530 / month Β· π¦ 1 Β· β±οΈ 12.10.2020):
```
pip install textpipe
@@ -1950,25 +1950,25 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Camphr (π₯17 Β· β 320) - spaCy plugin for Transformers , Udify, ELmo, etc. Apache-2 spacy
-- **[GitHub](https://github.com/PKSHATechnology-Research/camphr)** (π¨βπ» 7 Β· π 15 Β· π 21 - 33% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/PKSHATechnology-Research/camphr) (π¨βπ» 7 Β· π 15 Β· π 21 - 33% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/PKSHATechnology-Research/camphr
```
-- **[PyPi](https://pypi.org/project/camphr)** (π₯ 520 / month Β· β±οΈ 20.08.2020):
+- [PyPi](https://pypi.org/project/camphr) (π₯ 530 / month Β· β±οΈ 20.08.2020):
```
pip install camphr
```
VizSeq (π₯16 Β· β 290) - An Analysis Toolkit for Natural Language Generation (Translation, Captioning,.. MIT
+VizSeq (π₯16 Β· β 290) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
-- **[GitHub](https://github.com/facebookresearch/vizseq)** (π¨βπ» 3 Β· π 39 Β· π¦ 1 Β· π 15 - 46% open Β· β±οΈ 13.12.2020):
+- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 3 Β· π 39 Β· π¦ 1 Β· π 15 - 46% open Β· β±οΈ 13.12.2020):
```
git clone https://github.com/facebookresearch/vizseq
```
-- **[PyPi](https://pypi.org/project/vizseq)** (π₯ 130 / month Β· β±οΈ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (π₯ 130 / month Β· β±οΈ 07.08.2020):
```
pip install vizseq
@@ -1976,12 +1976,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Headliner (π₯16 Β· β 220 Β· π€) - Easy training and deployment of seq2seq models. MIT
-- **[GitHub](https://github.com/as-ideas/headliner)** (π¨βπ» 2 Β· π 38 Β· π¦ 2 Β· π 14 - 7% open Β· β±οΈ 14.02.2020):
+- [GitHub](https://github.com/as-ideas/headliner) (π¨βπ» 2 Β· π 38 Β· π¦ 2 Β· π 14 - 7% open Β· β±οΈ 14.02.2020):
```
git clone https://github.com/as-ideas/headliner
```
-- **[PyPi](https://pypi.org/project/headliner)** (π₯ 440 / month Β· π¦ 1 Β· β±οΈ 24.01.2020):
+- [PyPi](https://pypi.org/project/headliner) (π₯ 430 / month Β· π¦ 1 Β· β±οΈ 24.01.2020):
```
pip install headliner
@@ -1989,38 +1989,38 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Translate (π₯15 Β· β 660) - Translate - a PyTorch Language Library. BSD-3
-- **[GitHub](https://github.com/pytorch/translate)** (π¨βπ» 83 Β· π 160 Β· π 93 - 70% open Β· β±οΈ 16.11.2020):
+- [GitHub](https://github.com/pytorch/translate) (π¨βπ» 83 Β· π 160 Β· π 93 - 70% open Β· β±οΈ 16.11.2020):
```
git clone https://github.com/pytorch/translate
```
-- **[PyPi](https://pypi.org/project/pytorch-translate)** (π₯ 16 / month Β· β±οΈ 01.05.2018):
+- [PyPi](https://pypi.org/project/pytorch-translate) (π₯ 16 / month Β· β±οΈ 01.05.2018):
```
pip install pytorch-translate
```
NeuralQA (π₯15 Β· β 180) - NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT. MIT
+NeuralQA (π₯15 Β· β 180) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT
-- **[GitHub](https://github.com/victordibia/neuralqa)** (π¨βπ» 3 Β· π 23 Β· π¦ 1 Β· π 26 - 69% open Β· β±οΈ 25.09.2020):
+- [GitHub](https://github.com/victordibia/neuralqa) (π¨βπ» 3 Β· π 23 Β· π¦ 1 Β· π 26 - 69% open Β· β±οΈ 25.09.2020):
```
git clone https://github.com/victordibia/neuralqa
```
-- **[PyPi](https://pypi.org/project/neuralqa)** (π₯ 100 / month Β· β±οΈ 29.07.2020):
+- [PyPi](https://pypi.org/project/neuralqa) (π₯ 110 / month Β· β±οΈ 29.07.2020):
```
pip install neuralqa
```
TransferNLP (π₯14 Β· β 280 Β· π€) - NLP library designed for reproducible experimentation management. MIT
+TransferNLP (π₯14 Β· β 280 Β· π€) - NLP library designed for reproducible experimentation.. MIT
-- **[GitHub](https://github.com/feedly/transfer-nlp)** (π¨βπ» 7 Β· π 18 Β· π 23 - 17% open Β· β±οΈ 28.05.2020):
+- [GitHub](https://github.com/feedly/transfer-nlp) (π¨βπ» 7 Β· π 18 Β· π 23 - 17% open Β· β±οΈ 28.05.2020):
```
git clone https://github.com/feedly/transfer-nlp
```
-- **[PyPi](https://pypi.org/project/transfer-nlp)** (π₯ 110 / month Β· β±οΈ 28.05.2020):
+- [PyPi](https://pypi.org/project/transfer-nlp) (π₯ 110 / month Β· β±οΈ 28.05.2020):
```
pip install transfer-nlp
@@ -2029,12 +2029,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Show 10 hidden projects...
gensim (π₯35 Β· β 11K) - Topic Modelling for Humans. βοΈLGPL-2.1
-- **[GitHub](https://github.com/RaRe-Technologies/gensim)** (π¨βπ» 380 Β· π 3.8K Β· π₯ 2.6K Β· π¦ 19K Β· π 1.6K - 22% open Β· β±οΈ 15.11.2020):
+- [GitHub](https://github.com/RaRe-Technologies/gensim) (π¨βπ» 380 Β· π 3.8K Β· π₯ 2.6K Β· π¦ 19K Β· π 1.6K - 22% open Β· β±οΈ 15.11.2020):
```
git clone https://github.com/RaRe-Technologies/gensim
```
-- **[PyPi](https://pypi.org/project/gensim)** (π₯ 4.8M / month Β· π¦ 4.7K Β· β±οΈ 15.11.2020):
+- [PyPi](https://pypi.org/project/gensim) (π₯ 4.6M / month Β· π¦ 4.7K Β· β±οΈ 15.11.2020):
```
pip install gensim
@@ -2042,12 +2042,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
fuzzywuzzy (π₯29 Β· β 7.7K Β· π€) - Fuzzy String Matching in Python. βοΈGPL-2.0
-- **[GitHub](https://github.com/seatgeek/fuzzywuzzy)** (π¨βπ» 67 Β· π 790 Β· π¦ 7.3K Β· π 180 - 47% open Β· β±οΈ 13.02.2020):
+- [GitHub](https://github.com/seatgeek/fuzzywuzzy) (π¨βπ» 67 Β· π 790 Β· π¦ 7.3K Β· π 180 - 47% open Β· β±οΈ 13.02.2020):
```
git clone https://github.com/seatgeek/fuzzywuzzy
```
-- **[PyPi](https://pypi.org/project/fuzzywuzzy)** (π₯ 2.3M / month Β· π¦ 3.2K Β· β±οΈ 13.02.2020):
+- [PyPi](https://pypi.org/project/fuzzywuzzy) (π₯ 2.3M / month Β· π¦ 3.2K Β· β±οΈ 13.02.2020):
```
pip install fuzzywuzzy
@@ -2055,12 +2055,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
langid (π₯26 Β· β 1.7K Β· π) - Stand-alone language identification system. BSD-3
-- **[GitHub](https://github.com/saffsd/langid.py)** (π¨βπ» 9 Β· π 260 Β· π¦ 560 Β· π 70 - 35% open Β· β±οΈ 15.07.2017):
+- [GitHub](https://github.com/saffsd/langid.py) (π¨βπ» 9 Β· π 260 Β· π¦ 560 Β· π 70 - 35% open Β· β±οΈ 15.07.2017):
```
git clone https://github.com/saffsd/langid.py
```
-- **[PyPi](https://pypi.org/project/langid)** (π₯ 550K / month Β· π¦ 250 Β· β±οΈ 05.04.2016):
+- [PyPi](https://pypi.org/project/langid) (π₯ 530K / month Β· π¦ 250 Β· β±οΈ 05.04.2016):
```
pip install langid
@@ -2068,38 +2068,38 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
polyglot (π₯25 Β· β 1.7K) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
-- **[GitHub](https://github.com/aboSamoor/polyglot)** (π¨βπ» 26 Β· π 290 Β· π¦ 410 Β· π 190 - 68% open Β· β±οΈ 22.09.2020):
+- [GitHub](https://github.com/aboSamoor/polyglot) (π¨βπ» 26 Β· π 290 Β· π¦ 410 Β· π 190 - 68% open Β· β±οΈ 22.09.2020):
```
git clone https://github.com/aboSamoor/polyglot
```
-- **[PyPi](https://pypi.org/project/polyglot)** (π₯ 49K / month Β· π¦ 65 Β· β±οΈ 03.07.2016):
+- [PyPi](https://pypi.org/project/polyglot) (π₯ 49K / month Β· π¦ 65 Β· β±οΈ 03.07.2016):
```
pip install polyglot
```
anaGo (π₯22 Β· β 1.4K Β· π) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech.. MIT
+anaGo (π₯22 Β· β 1.4K Β· π) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT
-- **[GitHub](https://github.com/Hironsan/anago)** (π¨βπ» 11 Β· π 350 Β· π¦ 24 Β· π 110 - 33% open Β· β±οΈ 23.10.2019):
+- [GitHub](https://github.com/Hironsan/anago) (π¨βπ» 11 Β· π 350 Β· π¦ 24 Β· π 110 - 33% open Β· β±οΈ 23.10.2019):
```
git clone https://github.com/Hironsan/anago
```
-- **[PyPi](https://pypi.org/project/anago)** (π₯ 1.6K / month Β· β±οΈ 17.07.2018):
+- [PyPi](https://pypi.org/project/anago) (π₯ 1.6K / month Β· β±οΈ 17.07.2018):
```
pip install anago
```
MatchZoo (π₯21 Β· β 3.3K Β· π) - Facilitating the design, comparison and sharing of deep text matching.. Apache-2
+MatchZoo (π₯21 Β· β 3.3K Β· π) - Facilitating the design, comparison and sharing of deep.. Apache-2
-- **[GitHub](https://github.com/NTMC-Community/MatchZoo)** (π¨βπ» 35 Β· π 860 Β· π¦ 9 Β· π 450 - 5% open Β· β±οΈ 24.10.2019):
+- [GitHub](https://github.com/NTMC-Community/MatchZoo) (π¨βπ» 35 Β· π 860 Β· π¦ 9 Β· π 450 - 5% open Β· β±οΈ 24.10.2019):
```
git clone https://github.com/NTMC-Community/MatchZoo
```
-- **[PyPi](https://pypi.org/project/matchzoo)** (π₯ 300 / month Β· β±οΈ 24.10.2019):
+- [PyPi](https://pypi.org/project/matchzoo) (π₯ 300 / month Β· β±οΈ 24.10.2019):
```
pip install matchzoo
@@ -2107,12 +2107,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
stop-words (π₯20 Β· β 120 Β· π) - Get list of common stop words in various languages in Python. BSD-3
-- **[GitHub](https://github.com/Alir3z4/python-stop-words)** (π¨βπ» 8 Β· π 19 Β· π¦ 1K Β· π 12 - 25% open Β· β±οΈ 23.07.2018):
+- [GitHub](https://github.com/Alir3z4/python-stop-words) (π¨βπ» 8 Β· π 19 Β· π¦ 1K Β· π 12 - 25% open Β· β±οΈ 23.07.2018):
```
git clone https://github.com/Alir3z4/python-stop-words
```
-- **[PyPi](https://pypi.org/project/stop-words)** (π₯ 44K / month Β· π¦ 200 Β· β±οΈ 23.07.2018):
+- [PyPi](https://pypi.org/project/stop-words) (π₯ 44K / month Β· π¦ 200 Β· β±οΈ 23.07.2018):
```
pip install stop-words
@@ -2120,38 +2120,38 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pyfasttext (π₯19 Β· β 230 Β· π) - Yet another Python binding for fastText. βοΈGPL-3.0
-- **[GitHub](https://github.com/vrasneur/pyfasttext)** (π¨βπ» 4 Β· π 31 Β· π₯ 300 Β· π¦ 130 Β· π 47 - 40% open Β· β±οΈ 08.12.2018):
+- [GitHub](https://github.com/vrasneur/pyfasttext) (π¨βπ» 4 Β· π 31 Β· π₯ 300 Β· π¦ 130 Β· π 47 - 40% open Β· β±οΈ 08.12.2018):
```
git clone https://github.com/vrasneur/pyfasttext
```
-- **[PyPi](https://pypi.org/project/pyfasttext)** (π₯ 2.7K / month Β· π¦ 5 Β· β±οΈ 08.12.2018):
+- [PyPi](https://pypi.org/project/pyfasttext) (π₯ 2.7K / month Β· π¦ 5 Β· β±οΈ 08.12.2018):
```
pip install pyfasttext
```
NeuroNER (π₯18 Β· β 1.5K Β· π) - Named-entity recognition using neural networks. Easy-to-use and state-of-the-.. MIT
+NeuroNER (π₯18 Β· β 1.5K Β· π) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
-- **[GitHub](https://github.com/Franck-Dernoncourt/NeuroNER)** (π¨βπ» 7 Β· π 440 Β· π¦ 8 Β· π 140 - 53% open Β· β±οΈ 02.10.2019):
+- [GitHub](https://github.com/Franck-Dernoncourt/NeuroNER) (π¨βπ» 7 Β· π 440 Β· π¦ 8 Β· π 140 - 53% open Β· β±οΈ 02.10.2019):
```
git clone https://github.com/Franck-Dernoncourt/NeuroNER
```
-- **[PyPi](https://pypi.org/project/pyneuroner)** (π₯ 120 / month Β· β±οΈ 02.10.2019):
+- [PyPi](https://pypi.org/project/pyneuroner) (π₯ 120 / month Β· β±οΈ 02.10.2019):
```
pip install pyneuroner
```
ONNX-T5 (π₯11 Β· β 130 Β· π£) - Summarization, translation, sentiment-analysis, text-generation and more at.. Apache-2
+ONNX-T5 (π₯11 Β· β 130 Β· π£) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
-- **[GitHub](https://github.com/abelriboulot/onnxt5)** (π¨βπ» 2 Β· π 15 Β· π 8 - 37% open Β· β±οΈ 02.09.2020):
+- [GitHub](https://github.com/abelriboulot/onnxt5) (π¨βπ» 2 Β· π 15 Β· π 8 - 37% open Β· β±οΈ 02.09.2020):
```
git clone https://github.com/abelriboulot/onnxt5
```
-- **[PyPi](https://pypi.org/project/onnxt5)** (π₯ 130 / month Β· β±οΈ 02.09.2020):
+- [PyPi](https://pypi.org/project/onnxt5) (π₯ 130 / month Β· β±οΈ 02.09.2020):
```
pip install onnxt5
@@ -2168,25 +2168,25 @@ _Libraries for image & video processing, manipulation, and augmentation as well
scikit-image (π₯36 Β· β 4.1K) - Image processing in Python. BSD-2
-- **[GitHub](https://github.com/scikit-image/scikit-image)** (π¨βπ» 470 Β· π 1.7K Β· π¦ 56K Β· π 2.1K - 30% open Β· β±οΈ 13.12.2020):
+- [GitHub](https://github.com/scikit-image/scikit-image) (π¨βπ» 470 Β· π 1.7K Β· π¦ 56K Β· π 2.1K - 30% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/scikit-image/scikit-image
```
-- **[PyPi](https://pypi.org/project/scikit-image)** (π₯ 1.7M / month Β· π¦ 15K Β· β±οΈ 13.12.2020):
+- [PyPi](https://pypi.org/project/scikit-image) (π₯ 1.7M / month Β· π¦ 15K Β· β±οΈ 13.12.2020):
```
pip install scikit-image
```
torchvision (π₯35 Β· β 7.9K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
+torchvision (π₯35 Β· β 8K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- **[GitHub](https://github.com/pytorch/vision)** (π¨βπ» 340 Β· π 4.1K Β· π¦ 37K Β· π 1.5K - 31% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 340 Β· π 4.1K Β· π¦ 37K Β· π 1.5K - 31% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/pytorch/vision
```
-- **[PyPi](https://pypi.org/project/torchvision)** (π₯ 640K / month Β· π¦ 4.6K Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/torchvision) (π₯ 650K / month Β· π¦ 4.6K Β· β±οΈ 10.12.2020):
```
pip install torchvision
@@ -2194,12 +2194,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
imgaug (π₯32 Β· β 10K) - Image augmentation for machine learning experiments. MIT
-- **[GitHub](https://github.com/aleju/imgaug)** (π¨βπ» 36 Β· π 1.9K Β· π¦ 4.8K Β· π 410 - 50% open Β· β±οΈ 01.06.2020):
+- [GitHub](https://github.com/aleju/imgaug) (π¨βπ» 36 Β· π 1.9K Β· π¦ 4.8K Β· π 410 - 50% open Β· β±οΈ 01.06.2020):
```
git clone https://github.com/aleju/imgaug
```
-- **[PyPi](https://pypi.org/project/imgaug)** (π₯ 150K / month Β· π¦ 280 Β· β±οΈ 05.02.2020):
+- [PyPi](https://pypi.org/project/imgaug) (π₯ 150K / month Β· π¦ 280 Β· β±οΈ 05.02.2020):
```
pip install imgaug
@@ -2207,38 +2207,38 @@ _Libraries for image & video processing, manipulation, and augmentation as well
imageio (π₯32 Β· β 810) - Python library for reading and writing image data. BSD-2
-- **[GitHub](https://github.com/imageio/imageio)** (π¨βπ» 69 Β· π 160 Β· π¦ 33K Β· π 330 - 17% open Β· β±οΈ 07.12.2020):
+- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 69 Β· π 160 Β· π¦ 33K Β· π 330 - 17% open Β· β±οΈ 07.12.2020):
```
git clone https://github.com/imageio/imageio
```
-- **[PyPi](https://pypi.org/project/imageio)** (π₯ 1.7M / month Β· π¦ 3.8K Β· β±οΈ 06.07.2020):
+- [PyPi](https://pypi.org/project/imageio) (π₯ 1.7M / month Β· π¦ 3.8K Β· β±οΈ 06.07.2020):
```
pip install imageio
```
opencv-python (π₯30 Β· β 1.6K) - Automated CI toolchain to produce precompiled opencv-python, opencv-python-.. MIT
+opencv-python (π₯30 Β· β 1.6K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
-- **[GitHub](https://github.com/skvark/opencv-python)** (π¨βπ» 27 Β· π 290 Β· π 370 - 5% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/skvark/opencv-python) (π¨βπ» 27 Β· π 290 Β· π 370 - 5% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/skvark/opencv-python
```
-- **[PyPi](https://pypi.org/project/opencv-python)** (π₯ 2.8M / month Β· π¦ 13K Β· β±οΈ 02.11.2020):
+- [PyPi](https://pypi.org/project/opencv-python) (π₯ 2.7M / month Β· π¦ 13K Β· β±οΈ 02.11.2020):
```
pip install opencv-python
```
Face Recognition (π₯29 Β· β 38K) - The world's simplest facial recognition api for Python and the command.. MIT
+Face Recognition (π₯29 Β· β 38K) - The world's simplest facial recognition api for Python and.. MIT
-- **[GitHub](https://github.com/ageitgey/face_recognition)** (π¨βπ» 45 Β· π 10K Β· π₯ 430 Β· π 1.1K - 51% open Β· β±οΈ 26.09.2020):
+- [GitHub](https://github.com/ageitgey/face_recognition) (π¨βπ» 45 Β· π 10K Β· π₯ 430 Β· π 1.1K - 51% open Β· β±οΈ 26.09.2020):
```
git clone https://github.com/ageitgey/face_recognition
```
-- **[PyPi](https://pypi.org/project/face_recognition)** (π₯ 33K / month Β· π¦ 410 Β· β±οΈ 21.08.2018):
+- [PyPi](https://pypi.org/project/face_recognition) (π₯ 33K / month Β· π¦ 410 Β· β±οΈ 21.08.2018):
```
pip install face_recognition
@@ -2246,25 +2246,25 @@ _Libraries for image & video processing, manipulation, and augmentation as well
MoviePy (π₯29 Β· β 7.1K) - Video editing with Python. MIT
-- **[GitHub](https://github.com/Zulko/moviepy)** (π¨βπ» 130 Β· π 1K Β· π¦ 5.3K Β· π 970 - 34% open Β· β±οΈ 25.11.2020):
+- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 130 Β· π 1K Β· π¦ 5.3K Β· π 970 - 34% open Β· β±οΈ 25.11.2020):
```
git clone https://github.com/Zulko/moviepy
```
-- **[PyPi](https://pypi.org/project/moviepy)** (π₯ 140K / month Β· π¦ 1.1K Β· β±οΈ 05.10.2020):
+- [PyPi](https://pypi.org/project/moviepy) (π₯ 140K / month Β· π¦ 1.1K Β· β±οΈ 05.10.2020):
```
pip install moviepy
```
Albumentations (π₯29 Β· β 6.8K) - Fast image augmentation library and easy to use wrapper around other.. MIT
+Albumentations (π₯29 Β· β 6.8K) - Fast image augmentation library and easy to use wrapper.. MIT
-- **[GitHub](https://github.com/albumentations-team/albumentations)** (π¨βπ» 69 Β· π 870 Β· π¦ 2.3K Β· π 370 - 39% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 69 Β· π 870 Β· π¦ 2.3K Β· π 370 - 39% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/albumentations-team/albumentations
```
-- **[PyPi](https://pypi.org/project/albumentations)** (π₯ 61K / month Β· π¦ 64 Β· β±οΈ 29.11.2020):
+- [PyPi](https://pypi.org/project/albumentations) (π₯ 61K / month Β· π¦ 64 Β· β±οΈ 29.11.2020):
```
pip install albumentations
@@ -2272,12 +2272,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
GluonCV (π₯28 Β· β 4.4K) - Gluon CV Toolkit. Apache-2
-- **[GitHub](https://github.com/dmlc/gluon-cv)** (π¨βπ» 110 Β· π 1K Β· π¦ 370 Β· π 740 - 49% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/dmlc/gluon-cv) (π¨βπ» 110 Β· π 1K Β· π¦ 370 Β· π 740 - 49% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/dmlc/gluon-cv
```
-- **[PyPi](https://pypi.org/project/gluoncv)** (π₯ 100K / month Β· π¦ 30 Β· β±οΈ 13.12.2020):
+- [PyPi](https://pypi.org/project/gluoncv) (π₯ 92K / month Β· π¦ 30 Β· β±οΈ 16.12.2020):
```
pip install gluoncv
@@ -2285,12 +2285,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Kornia (π₯28 Β· β 3.4K) - Open Source Differentiable Computer Vision Library for PyTorch. Apache-2
-- **[GitHub](https://github.com/kornia/kornia)** (π¨βπ» 77 Β· π 340 Β· π¦ 210 Β· π 330 - 30% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 77 Β· π 340 Β· π¦ 210 Β· π 330 - 30% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/kornia/kornia
```
-- **[PyPi](https://pypi.org/project/kornia)** (π₯ 18K / month Β· β±οΈ 20.10.2020):
+- [PyPi](https://pypi.org/project/kornia) (π₯ 18K / month Β· β±οΈ 20.10.2020):
```
pip install kornia
@@ -2298,12 +2298,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
ImageHash (π₯28 Β· β 1.8K) - A Python Perceptual Image Hashing Module. BSD-2
-- **[GitHub](https://github.com/JohannesBuchner/imagehash)** (π¨βπ» 17 Β· π 240 Β· π¦ 1.7K Β· π 86 - 19% open Β· β±οΈ 27.11.2020):
+- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 17 Β· π 240 Β· π¦ 1.7K Β· π 86 - 19% open Β· β±οΈ 27.11.2020):
```
git clone https://github.com/JohannesBuchner/imagehash
```
-- **[PyPi](https://pypi.org/project/ImageHash)** (π₯ 390K / month Β· π¦ 530 Β· β±οΈ 19.11.2020):
+- [PyPi](https://pypi.org/project/ImageHash) (π₯ 390K / month Β· π¦ 530 Β· β±οΈ 19.11.2020):
```
pip install ImageHash
@@ -2311,25 +2311,25 @@ _Libraries for image & video processing, manipulation, and augmentation as well
InsightFace (π₯27 Β· β 8.2K) - Face Analysis Project on MXNet. MIT
-- **[GitHub](https://github.com/deepinsight/insightface)** (π¨βπ» 14 Β· π 2.8K Β· π¦ 44 Β· π 1.3K - 51% open Β· β±οΈ 08.12.2020):
+- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 14 Β· π 2.8K Β· π¦ 44 Β· π 1.3K - 51% open Β· β±οΈ 08.12.2020):
```
git clone https://github.com/deepinsight/insightface
```
-- **[PyPi](https://pypi.org/project/insightface)** (π₯ 17K / month Β· π¦ 1 Β· β±οΈ 07.09.2019):
+- [PyPi](https://pypi.org/project/insightface) (π₯ 17K / month Β· π¦ 1 Β· β±οΈ 07.09.2019):
```
pip install insightface
```
imageai (π₯26 Β· β 5.5K Β· π€) - A python library built to empower developers to build applications and systems.. MIT
+imageai (π₯26 Β· β 5.5K Β· π€) - A python library built to empower developers to build applications.. MIT
-- **[GitHub](https://github.com/OlafenwaMoses/ImageAI)** (π¨βπ» 13 Β· π 1.6K Β· π₯ 510K Β· π¦ 620 Β· π 580 - 33% open Β· β±οΈ 14.01.2020):
+- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 13 Β· π 1.6K Β· π₯ 510K Β· π¦ 620 Β· π 580 - 33% open Β· β±οΈ 14.01.2020):
```
git clone https://github.com/OlafenwaMoses/ImageAI
```
-- **[PyPi](https://pypi.org/project/imageai)** (π₯ 6.2K / month Β· π¦ 12 Β· β±οΈ 13.09.2019):
+- [PyPi](https://pypi.org/project/imageai) (π₯ 6.1K / month Β· π¦ 12 Β· β±οΈ 13.09.2019):
```
pip install imageai
@@ -2337,7 +2337,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
MMDetection (π₯25 Β· β 13K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
-- **[GitHub](https://github.com/open-mmlab/mmdetection)** (π¨βπ» 180 Β· π 4.4K Β· π¦ 17 Β· π 3.2K - 12% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 180 Β· π 4.4K Β· π¦ 17 Β· π 3.2K - 11% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/open-mmlab/mmdetection
@@ -2345,7 +2345,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
PyTorch Image Models (π₯25 Β· β 5.9K) - PyTorch image models, scripts, pretrained weights --.. Apache-2
-- **[GitHub](https://github.com/rwightman/pytorch-image-models)** (π¨βπ» 25 Β· π 820 Β· π₯ 140K Β· π¦ 200 Β· π 220 - 10% open Β· β±οΈ 08.12.2020):
+- [GitHub](https://github.com/rwightman/pytorch-image-models) (π¨βπ» 25 Β· π 830 Β· π₯ 140K Β· π¦ 210 Β· π 220 - 10% open Β· β±οΈ 08.12.2020):
```
git clone https://github.com/rwightman/pytorch-image-models
@@ -2353,77 +2353,77 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Augmentor (π₯25 Β· β 4.2K Β· π€) - Image augmentation library in Python for machine learning. MIT
-- **[GitHub](https://github.com/mdbloice/Augmentor)** (π¨βπ» 22 Β· π 780 Β· π¦ 260 Β· π 180 - 63% open Β· β±οΈ 09.03.2020):
+- [GitHub](https://github.com/mdbloice/Augmentor) (π¨βπ» 22 Β· π 780 Β· π¦ 260 Β· π 180 - 63% open Β· β±οΈ 09.03.2020):
```
git clone https://github.com/mdbloice/Augmentor
```
-- **[PyPi](https://pypi.org/project/Augmentor)** (π₯ 2.8K / month Β· π¦ 42 Β· β±οΈ 17.01.2020):
+- [PyPi](https://pypi.org/project/Augmentor) (π₯ 2.8K / month Β· π¦ 42 Β· β±οΈ 17.01.2020):
```
pip install Augmentor
```
PyTorch3D (π₯24 Β· β 4.1K) - PyTorch3D is FAIR's library of reusable components for deep learning with 3D.. MIT
+PyTorch3D (π₯24 Β· β 4.1K) - PyTorch3D is FAIR's library of reusable components for deep.. MIT
-- **[GitHub](https://github.com/facebookresearch/pytorch3d)** (π¨βπ» 49 Β· π 450 Β· π¦ 32 Β· π 430 - 13% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/facebookresearch/pytorch3d) (π¨βπ» 49 Β· π 450 Β· π¦ 35 Β· π 430 - 12% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/facebookresearch/pytorch3d
```
-- **[PyPi](https://pypi.org/project/pytorch3d)** (π₯ 5.2K / month Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/pytorch3d) (π₯ 5.1K / month Β· β±οΈ 12.11.2020):
```
pip install pytorch3d
```
-- **[Conda](https://anaconda.org/pytorch3d/pytorch3d)**:
+- [Conda](https://anaconda.org/pytorch3d/pytorch3d):
```
conda install -c pytorch3d pytorch3d
```
detectron2 (π₯23 Β· β 14K) - Detectron2 is FAIR's next-generation platform for object detection and.. Apache-2
+detectron2 (π₯23 Β· β 14K) - Detectron2 is FAIR's next-generation platform for object.. Apache-2
-- **[GitHub](https://github.com/facebookresearch/detectron2)** (π¨βπ» 140 Β· π 3.5K Β· π¦ 130 Β· π 2.1K - 4% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 140 Β· π 3.5K Β· π¦ 130 Β· π 2.1K - 4% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/facebookresearch/detectron2
```
Image Deduplicator (π₯22 Β· β 3.3K) - Finding duplicate images made easy!. Apache-2
+Face Alignment (π₯22 Β· β 4.5K) - 2D and 3D Face alignment library build using pytorch. BSD-3
-- **[GitHub](https://github.com/idealo/imagededup)** (π¨βπ» 9 Β· π 260 Β· π¦ 8 Β· π 62 - 20% open Β· β±οΈ 23.11.2020):
+- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 19 Β· π 970 Β· π 220 - 19% open Β· β±οΈ 16.12.2020):
```
- git clone https://github.com/idealo/imagededup
+ git clone https://github.com/1adrianb/face-alignment
```
-- **[PyPi](https://pypi.org/project/imagededup)** (π₯ 2.4K / month Β· π¦ 1 Β· β±οΈ 22.11.2020):
+- [PyPi](https://pypi.org/project/face-alignment) (π₯ 5K / month Β· π¦ 6 Β· β±οΈ 12.09.2020):
```
- pip install imagededup
+ pip install face-alignment
```
Face Alignment (π₯21 Β· β 4.5K) - 2D and 3D Face alignment library build using pytorch. BSD-3
+Image Deduplicator (π₯22 Β· β 3.3K) - Finding duplicate images made easy!. Apache-2
-- **[GitHub](https://github.com/1adrianb/face-alignment)** (π¨βπ» 19 Β· π 970 Β· π 220 - 19% open Β· β±οΈ 13.12.2020):
+- [GitHub](https://github.com/idealo/imagededup) (π¨βπ» 9 Β· π 260 Β· π¦ 8 Β· π 63 - 22% open Β· β±οΈ 23.11.2020):
```
- git clone https://github.com/1adrianb/face-alignment
+ git clone https://github.com/idealo/imagededup
```
-- **[PyPi](https://pypi.org/project/face-alignment)** (π₯ 5.1K / month Β· π¦ 6 Β· β±οΈ 12.09.2020):
+- [PyPi](https://pypi.org/project/imagededup) (π₯ 2.4K / month Β· π¦ 1 Β· β±οΈ 22.11.2020):
```
- pip install face-alignment
+ pip install imagededup
```
MMF (π₯21 Β· β 4K) - A modular framework for vision & language multimodal research from Facebook AI.. BSD-3
+MMF (π₯21 Β· β 4K) - A modular framework for vision & language multimodal research from.. BSD-3
-- **[GitHub](https://github.com/facebookresearch/mmf)** (π¨βπ» 50 Β· π 580 Β· π¦ 6 Β· π 400 - 21% open Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 50 Β· π 580 Β· π¦ 6 Β· π 400 - 21% open Β· β±οΈ 10.12.2020):
```
git clone https://github.com/facebookresearch/mmf
```
-- **[PyPi](https://pypi.org/project/mmf)** (π₯ 310 / month Β· β±οΈ 11.06.2020):
+- [PyPi](https://pypi.org/project/mmf) (π₯ 320 / month Β· β±οΈ 11.06.2020):
```
pip install mmf
@@ -2431,12 +2431,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
tensorflow-graphics (π₯21 Β· β 2.4K) - TensorFlow Graphics: Differentiable Graphics Layers for.. Apache-2
-- **[GitHub](https://github.com/tensorflow/graphics)** (π¨βπ» 30 Β· π 260 Β· π 170 - 51% open Β· β±οΈ 30.10.2020):
+- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 30 Β· π 260 Β· π 170 - 51% open Β· β±οΈ 30.10.2020):
```
git clone https://github.com/tensorflow/graphics
```
-- **[PyPi](https://pypi.org/project/tensorflow-graphics)** (π₯ 950 / month Β· π¦ 3 Β· β±οΈ 20.05.2020):
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 930 / month Β· π¦ 3 Β· β±οΈ 20.05.2020):
```
pip install tensorflow-graphics
@@ -2444,17 +2444,17 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Image Super-Resolution (π₯21 Β· β 2.3K) - Super-scale your images and run experiments with Residual.. Apache-2
-- **[GitHub](https://github.com/idealo/image-super-resolution)** (π¨βπ» 9 Β· π 440 Β· π¦ 34 Β· π 140 - 31% open Β· β±οΈ 11.11.2020):
+- [GitHub](https://github.com/idealo/image-super-resolution) (π¨βπ» 9 Β· π 440 Β· π¦ 34 Β· π 140 - 31% open Β· β±οΈ 11.11.2020):
```
git clone https://github.com/idealo/image-super-resolution
```
-- **[PyPi](https://pypi.org/project/ISR)** (π₯ 2.2K / month Β· π¦ 4 Β· β±οΈ 08.01.2020):
+- [PyPi](https://pypi.org/project/ISR) (π₯ 2.3K / month Β· π¦ 4 Β· β±οΈ 08.01.2020):
```
pip install ISR
```
-- **[Dockerhub](https://hub.docker.com/r/idealo/image-super-resolution-gpu)** (π₯ 110 Β· β±οΈ 01.04.2019):
+- [Dockerhub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (π₯ 110 Β· β±οΈ 01.04.2019):
```
docker pull idealo/image-super-resolution-gpu
@@ -2462,38 +2462,38 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Luminoth (π₯21 Β· β 2.3K Β· π€) - Deep Learning toolkit for Computer Vision. BSD-3
-- **[GitHub](https://github.com/tryolabs/luminoth)** (π¨βπ» 15 Β· π 400 Β· π₯ 11K Β· π¦ 27 Β· π 180 - 28% open Β· β±οΈ 07.01.2020):
+- [GitHub](https://github.com/tryolabs/luminoth) (π¨βπ» 15 Β· π 400 Β· π₯ 11K Β· π¦ 27 Β· π 180 - 28% open Β· β±οΈ 07.01.2020):
```
git clone https://github.com/tryolabs/luminoth
```
-- **[PyPi](https://pypi.org/project/luminoth)** (π₯ 620 / month Β· β±οΈ 09.11.2018):
+- [PyPi](https://pypi.org/project/luminoth) (π₯ 620 / month Β· β±οΈ 09.11.2018):
```
pip install luminoth
```
Classy Vision (π₯20 Β· β 980) - An end-to-end PyTorch framework for image and video classification. MIT
+Classy Vision (π₯20 Β· β 980) - An end-to-end PyTorch framework for image and video.. MIT
-- **[GitHub](https://github.com/facebookresearch/ClassyVision)** (π¨βπ» 47 Β· π 180 Β· π 85 - 54% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/facebookresearch/ClassyVision) (π¨βπ» 47 Β· π 180 Β· π 85 - 54% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/facebookresearch/ClassyVision
```
-- **[PyPi](https://pypi.org/project/classy_vision)** (π₯ 690 / month Β· β±οΈ 20.11.2020):
+- [PyPi](https://pypi.org/project/classy_vision) (π₯ 700 / month Β· β±οΈ 20.11.2020):
```
pip install classy_vision
```
-- **[Conda](https://anaconda.org/conda-forge/classy_vision)**:
+- [Conda](https://anaconda.org/conda-forge/classy_vision):
```
conda install -c conda-forge classy_vision
```
PaddleDetection (π₯17 Β· β 2K) - Object detection and instance segmentation toolkit based on.. Apache-2
+PaddleDetection (π₯17 Β· β 2K) - Object detection and instance segmentation toolkit based.. Apache-2
-- **[GitHub](https://github.com/PaddlePaddle/PaddleDetection)** (π¨βπ» 41 Β· π 560 Β· π 1.1K - 25% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 42 Β· π 570 Β· π 1.1K - 25% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/PaddlePaddle/PaddleDetection
@@ -2501,15 +2501,15 @@ _Libraries for image & video processing, manipulation, and augmentation as well
DEβ«ΆTR (π₯14 Β· β 5.6K) - End-to-End Object Detection with Transformers. Apache-2
-- **[GitHub](https://github.com/facebookresearch/detr)** (π¨βπ» 19 Β· π 790 Β· π 250 - 22% open Β· β±οΈ 15.11.2020):
+- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 19 Β· π 790 Β· π 250 - 22% open Β· β±οΈ 15.11.2020):
```
git clone https://github.com/facebookresearch/detr
```
PySlowFast (π₯14 Β· β 3.2K) - PySlowFast: video understanding codebase from FAIR for reproducing state-.. Apache-2
+PySlowFast (π₯14 Β· β 3.2K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
-- **[GitHub](https://github.com/facebookresearch/SlowFast)** (π¨βπ» 18 Β· π 570 Β· π¦ 2 Β· π 330 - 45% open Β· β±οΈ 08.12.2020):
+- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 18 Β· π 580 Β· π¦ 2 Β· π 330 - 45% open Β· β±οΈ 08.12.2020):
```
git clone https://github.com/facebookresearch/SlowFast
@@ -2517,7 +2517,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pycls (π₯13 Β· β 1.4K) - Codebase for Image Classification Research, written in PyTorch. MIT
-- **[GitHub](https://github.com/facebookresearch/pycls)** (π¨βπ» 7 Β· π 140 Β· π¦ 1 Β· π 54 - 18% open Β· β±οΈ 20.11.2020):
+- [GitHub](https://github.com/facebookresearch/pycls) (π¨βπ» 7 Β· π 140 Β· π¦ 1 Β· π 54 - 18% open Β· β±οΈ 20.11.2020):
```
git clone https://github.com/facebookresearch/pycls
@@ -2526,25 +2526,25 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Show 4 hidden projects...
Pillow (π₯38 Β· β 8K) - The friendly PIL fork (Python Imaging Library). βοΈPIL
-- **[GitHub](https://github.com/python-pillow/Pillow)** (π¨βπ» 340 Β· π 1.5K Β· π¦ 360K Β· π 2.1K - 11% open Β· β±οΈ 12.12.2020):
+- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 340 Β· π 1.5K Β· π¦ 360K Β· π 2.1K - 11% open Β· β±οΈ 12.12.2020):
```
git clone https://github.com/python-pillow/Pillow
```
-- **[PyPi](https://pypi.org/project/Pillow)** (π₯ 15M / month Β· π¦ 110K Β· β±οΈ 22.10.2020):
+- [PyPi](https://pypi.org/project/Pillow) (π₯ 15M / month Β· π¦ 110K Β· β±οΈ 22.10.2020):
```
pip install Pillow
```
imutils (π₯27 Β· β 3.4K Β· π) - A series of convenience functions to make basic image processing operations such.. MIT
+imutils (π₯27 Β· β 3.4K Β· π) - A series of convenience functions to make basic image processing.. MIT
-- **[GitHub](https://github.com/jrosebr1/imutils)** (π¨βπ» 19 Β· π 850 Β· π¦ 11K Β· π 200 - 62% open Β· β±οΈ 18.08.2019):
+- [GitHub](https://github.com/jrosebr1/imutils) (π¨βπ» 19 Β· π 850 Β· π¦ 11K Β· π 200 - 62% open Β· β±οΈ 18.08.2019):
```
git clone https://github.com/jrosebr1/imutils
```
-- **[PyPi](https://pypi.org/project/imutils)** (π₯ 150K / month Β· π¦ 1.2K Β· β±οΈ 18.08.2019):
+- [PyPi](https://pypi.org/project/imutils) (π₯ 150K / month Β· π¦ 1.2K Β· β±οΈ 18.08.2019):
```
pip install imutils
@@ -2552,12 +2552,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow-SIMD (π₯23 Β· β 1.5K) - The friendly PIL fork. βοΈPIL
-- **[GitHub](https://github.com/uploadcare/pillow-simd)** (π¨βπ» 310 Β· π 66 Β· π¦ 350 Β· π 63 - 17% open Β· β±οΈ 02.06.2020):
+- [GitHub](https://github.com/uploadcare/pillow-simd) (π¨βπ» 310 Β· π 66 Β· π¦ 350 Β· π 63 - 17% open Β· β±οΈ 02.06.2020):
```
git clone https://github.com/uploadcare/pillow-simd
```
-- **[PyPi](https://pypi.org/project/pillow-simd)** (π₯ 37K / month Β· π¦ 50 Β· β±οΈ 26.01.2020):
+- [PyPi](https://pypi.org/project/pillow-simd) (π₯ 33K / month Β· π¦ 50 Β· β±οΈ 26.01.2020):
```
pip install pillow-simd
@@ -2565,12 +2565,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Torch Points 3D (π₯17 Β· β 910) - Pytorch framework for doing deep learning on point clouds. βοΈUnlicensed
-- **[GitHub](https://github.com/nicolas-chaulet/torch-points3d)** (π¨βπ» 18 Β· π 140 Β· π¦ 2 Β· π 180 - 22% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/nicolas-chaulet/torch-points3d) (π¨βπ» 18 Β· π 140 Β· π¦ 2 Β· π 180 - 22% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/nicolas-chaulet/torch-points3d
```
-- **[PyPi](https://pypi.org/project/torch-points3d)** (π₯ 280 / month Β· β±οΈ 04.08.2020):
+- [PyPi](https://pypi.org/project/torch-points3d) (π₯ 280 / month Β· β±οΈ 04.08.2020):
```
pip install torch-points3d
@@ -2585,14 +2585,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well
_Libraries for graph processing, clustering, embedding, and machine learning tasks._
-networkx (π₯37 Β· β 8.3K) - Network Analysis in Python. BSD-3
+networkx (π₯37 Β· β 8.4K) - Network Analysis in Python. BSD-3
-- **[GitHub](https://github.com/networkx/networkx)** (π¨βπ» 480 Β· π 2.2K Β· π₯ 51 Β· π¦ 62K Β· π 2.5K - 10% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 480 Β· π 2.2K Β· π₯ 51 Β· π¦ 62K Β· π 2.5K - 10% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/networkx/networkx
```
-- **[PyPi](https://pypi.org/project/networkx)** (π₯ 5.7M / month Β· π¦ 21K Β· β±οΈ 22.08.2020):
+- [PyPi](https://pypi.org/project/networkx) (π₯ 5.6M / month Β· π¦ 21K Β· β±οΈ 22.08.2020):
```
pip install networkx
@@ -2600,25 +2600,25 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch Geometric (π₯28 Β· β 9.7K) - Geometric Deep Learning Extension Library for PyTorch. MIT
-- **[GitHub](https://github.com/rusty1s/pytorch_geometric)** (π¨βπ» 140 Β· π 1.6K Β· π 1.7K - 37% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/rusty1s/pytorch_geometric) (π¨βπ» 140 Β· π 1.6K Β· π 1.7K - 37% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/rusty1s/pytorch_geometric
```
-- **[PyPi](https://pypi.org/project/torch-geometric)** (π₯ 11K / month Β· π¦ 24 Β· β±οΈ 27.11.2020):
+- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 11K / month Β· π¦ 24 Β· β±οΈ 27.11.2020):
```
pip install torch-geometric
```
dgl (π₯27 Β· β 6.2K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
+dgl (π₯27 Β· β 6.3K) - Python package built to ease deep learning on graph, on top of existing.. Apache-2
-- **[GitHub](https://github.com/dmlc/dgl)** (π¨βπ» 91 Β· π 1.2K Β· π 850 - 23% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 91 Β· π 1.2K Β· π 850 - 23% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/dmlc/dgl
```
-- **[PyPi](https://pypi.org/project/dgl)** (π₯ 13K / month Β· π¦ 15 Β· β±οΈ 15.12.2020):
+- [PyPi](https://pypi.org/project/dgl) (π₯ 13K / month Β· π¦ 15 Β· β±οΈ 16.12.2020):
```
pip install dgl
@@ -2626,12 +2626,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
StellarGraph (π₯24 Β· β 1.7K) - StellarGraph - Machine Learning on Graphs. Apache-2
-- **[GitHub](https://github.com/stellargraph/stellargraph)** (π¨βπ» 28 Β· π 240 Β· π¦ 38 Β· π 900 - 23% open Β· β±οΈ 21.07.2020):
+- [GitHub](https://github.com/stellargraph/stellargraph) (π¨βπ» 28 Β· π 240 Β· π¦ 38 Β· π 900 - 23% open Β· β±οΈ 21.07.2020):
```
git clone https://github.com/stellargraph/stellargraph
```
-- **[PyPi](https://pypi.org/project/stellargraph)** (π₯ 9.8K / month Β· π¦ 2 Β· β±οΈ 25.06.2020):
+- [PyPi](https://pypi.org/project/stellargraph) (π₯ 9.6K / month Β· π¦ 2 Β· β±οΈ 25.06.2020):
```
pip install stellargraph
@@ -2639,25 +2639,25 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
Spektral (π₯23 Β· β 1.5K) - Graph Neural Networks with Keras and Tensorflow 2. MIT
-- **[GitHub](https://github.com/danielegrattarola/spektral)** (π¨βπ» 15 Β· π 170 Β· π¦ 25 Β· π 110 - 18% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 15 Β· π 170 Β· π¦ 25 Β· π 110 - 18% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/danielegrattarola/spektral
```
-- **[PyPi](https://pypi.org/project/spektral)** (π₯ 3.5K / month Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/spektral) (π₯ 3.7K / month Β· β±οΈ 10.12.2020):
```
pip install spektral
```
Node2Vec (π₯23 Β· β 600) - Implementation of the node2vec algorithm. MIT
+Node2Vec (π₯22 Β· β 600) - Implementation of the node2vec algorithm. MIT
-- **[GitHub](https://github.com/eliorc/node2vec)** (π¨βπ» 6 Β· π 160 Β· π¦ 100 Β· π 47 - 2% open Β· β±οΈ 28.11.2020):
+- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 6 Β· π 160 Β· π¦ 100 Β· π 47 - 2% open Β· β±οΈ 28.11.2020):
```
git clone https://github.com/eliorc/node2vec
```
-- **[PyPi](https://pypi.org/project/node2vec)** (π₯ 8.2K / month Β· π¦ 5 Β· β±οΈ 28.11.2020):
+- [PyPi](https://pypi.org/project/node2vec) (π₯ 8K / month Β· π¦ 5 Β· β±οΈ 28.11.2020):
```
pip install node2vec
@@ -2665,38 +2665,38 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
torch-cluster (π₯21 Β· β 310) - PyTorch Extension Library of Optimized Graph Cluster Algorithms. MIT
-- **[GitHub](https://github.com/rusty1s/pytorch_cluster)** (π¨βπ» 17 Β· π 60 Β· π 70 - 48% open Β· β±οΈ 07.12.2020):
+- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 17 Β· π 60 Β· π 71 - 47% open Β· β±οΈ 07.12.2020):
```
git clone https://github.com/rusty1s/pytorch_cluster
```
-- **[PyPi](https://pypi.org/project/torch-cluster)** (π₯ 2.7K / month Β· π¦ 16 Β· β±οΈ 31.10.2020):
+- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 2.7K / month Β· π¦ 16 Β· β±οΈ 31.10.2020):
```
pip install torch-cluster
```
AmpliGraph (π₯20 Β· β 1.4K) - Python library for Representation Learning on Knowledge Graphs.. Apache-2
+AmpliGraph (π₯20 Β· β 1.4K) - Python library for Representation Learning on Knowledge.. Apache-2
-- **[GitHub](https://github.com/Accenture/AmpliGraph)** (π¨βπ» 14 Β· π 150 Β· π¦ 9 Β· π 170 - 10% open Β· β±οΈ 25.08.2020):
+- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 14 Β· π 150 Β· π¦ 9 Β· π 170 - 10% open Β· β±οΈ 25.08.2020):
```
git clone https://github.com/Accenture/AmpliGraph
```
-- **[PyPi](https://pypi.org/project/ampligraph)** (π₯ 800 / month Β· β±οΈ 25.08.2020):
+- [PyPi](https://pypi.org/project/ampligraph) (π₯ 790 / month Β· β±οΈ 25.08.2020):
```
pip install ampligraph
```
Paddle Graph Learning (π₯20 Β· β 840) - Paddle Graph Learning (PGL) is an efficient and flexible graph.. Apache-2
+Paddle Graph Learning (π₯20 Β· β 840) - Paddle Graph Learning (PGL) is an efficient and flexible.. Apache-2
-- **[GitHub](https://github.com/PaddlePaddle/PGL)** (π¨βπ» 17 Β· π 110 Β· π¦ 9 Β· π 40 - 35% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/PaddlePaddle/PGL) (π¨βπ» 17 Β· π 110 Β· π¦ 9 Β· π 40 - 35% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/PaddlePaddle/PGL
```
-- **[PyPi](https://pypi.org/project/pgl)** (π₯ 950 / month Β· π¦ 1 Β· β±οΈ 20.11.2020):
+- [PyPi](https://pypi.org/project/pgl) (π₯ 940 / month Β· π¦ 1 Β· β±οΈ 20.11.2020):
```
pip install pgl
@@ -2704,56 +2704,56 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
graph-nets (π₯19 Β· β 4.7K) - Build Graph Nets in Tensorflow. Apache-2
-- **[GitHub](https://github.com/deepmind/graph_nets)** (π¨βπ» 11 Β· π 710 Β· π 110 - 11% open Β· β±οΈ 04.12.2020):
+- [GitHub](https://github.com/deepmind/graph_nets) (π¨βπ» 11 Β· π 710 Β· π 110 - 11% open Β· β±οΈ 04.12.2020):
```
git clone https://github.com/deepmind/graph_nets
```
-- **[PyPi](https://pypi.org/project/graph-nets)** (π₯ 830 / month Β· π¦ 7 Β· β±οΈ 29.01.2020):
+- [PyPi](https://pypi.org/project/graph-nets) (π₯ 820 / month Β· π¦ 7 Β· β±οΈ 29.01.2020):
```
pip install graph-nets
```
PyKEEN (π₯19 Β· β 270) - A Python library for learning and evaluating knowledge graph embeddings. MIT
+PyTorch-BigGraph (π₯19 Β· β 2.6K) - Generate embeddings from large-scale graph-structured data. BSD-3
-- **[GitHub](https://github.com/pykeen/pykeen)** (π¨βπ» 17 Β· π 39 Β· π₯ 28 Β· π 87 - 34% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (π¨βπ» 19 Β· π 360 Β· π₯ 100 Β· π 130 - 24% open Β· β±οΈ 02.12.2020):
```
- git clone https://github.com/SmartDataAnalytics/PyKEEN
+ git clone https://github.com/facebookresearch/PyTorch-BigGraph
```
-- **[PyPi](https://pypi.org/project/pykeen)** (π₯ 270 / month Β· π¦ 1 Β· β±οΈ 25.08.2020):
+- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 330 / month Β· π¦ 4 Β· β±οΈ 01.05.2019):
```
- pip install pykeen
+ pip install torchbiggraph
```
PyTorch-BigGraph (π₯18 Β· β 2.6K) - Generate embeddings from large-scale graph-structured data. BSD-3
+PyKEEN (π₯19 Β· β 270) - A Python library for learning and evaluating knowledge graph embeddings. MIT
-- **[GitHub](https://github.com/facebookresearch/PyTorch-BigGraph)** (π¨βπ» 19 Β· π 360 Β· π₯ 100 Β· π 120 - 21% open Β· β±οΈ 02.12.2020):
+- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 17 Β· π 39 Β· π₯ 29 Β· π 87 - 34% open Β· β±οΈ 15.12.2020):
```
- git clone https://github.com/facebookresearch/PyTorch-BigGraph
+ git clone https://github.com/SmartDataAnalytics/PyKEEN
```
-- **[PyPi](https://pypi.org/project/torchbiggraph)** (π₯ 330 / month Β· π¦ 2 Β· β±οΈ 01.05.2019):
+- [PyPi](https://pypi.org/project/pykeen) (π₯ 270 / month Β· π¦ 1 Β· β±οΈ 25.08.2020):
```
- pip install torchbiggraph
+ pip install pykeen
```
DeepGraph (π₯17 Β· β 230) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3
-- **[GitHub](https://github.com/deepgraph/deepgraph)** (π¨βπ» 2 Β· π 33 Β· π¦ 1 Β· π 11 - 63% open Β· β±οΈ 01.10.2020):
+- [GitHub](https://github.com/deepgraph/deepgraph) (π¨βπ» 2 Β· π 33 Β· π¦ 1 Β· π 11 - 63% open Β· β±οΈ 01.10.2020):
```
git clone https://github.com/deepgraph/deepgraph
```
-- **[PyPi](https://pypi.org/project/deepgraph)** (π₯ 300 / month Β· β±οΈ 01.10.2020):
+- [PyPi](https://pypi.org/project/deepgraph) (π₯ 300 / month Β· β±οΈ 01.10.2020):
```
pip install deepgraph
```
-- **[Conda](https://anaconda.org/conda-forge/deepgraph)**:
+- [Conda](https://anaconda.org/conda-forge/deepgraph):
```
conda install -c conda-forge deepgraph
@@ -2761,12 +2761,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
Euler (π₯15 Β· β 2.4K) - A distributed graph deep learning framework. Apache-2
-- **[GitHub](https://github.com/alibaba/euler)** (π¨βπ» 5 Β· π 500 Β· π 300 - 67% open Β· β±οΈ 29.07.2020):
+- [GitHub](https://github.com/alibaba/euler) (π¨βπ» 5 Β· π 500 Β· π 300 - 67% open Β· β±οΈ 29.07.2020):
```
git clone https://github.com/alibaba/euler
```
-- **[PyPi](https://pypi.org/project/euler-gl)** (π₯ 12 / month Β· β±οΈ 10.04.2019):
+- [PyPi](https://pypi.org/project/euler-gl) (β±οΈ 10.04.2019):
```
pip install euler-gl
@@ -2774,7 +2774,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
GraphEmbedding (π₯15 Β· β 1.7K) - Implementation and experiments of graph embedding algorithms. MIT
-- **[GitHub](https://github.com/shenweichen/GraphEmbedding)** (π¨βπ» 6 Β· π 520 Β· π¦ 7 Β· π 39 - 66% open Β· β±οΈ 18.10.2020):
+- [GitHub](https://github.com/shenweichen/GraphEmbedding) (π¨βπ» 6 Β· π 520 Β· π¦ 7 Β· π 39 - 66% open Β· β±οΈ 18.10.2020):
```
git clone https://github.com/shenweichen/GraphEmbedding
@@ -2782,7 +2782,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
OpenKE (π₯13 Β· β 2.3K Β· π€) - An Open-Source Package for Knowledge Embedding (KE). MIT
-- **[GitHub](https://github.com/thunlp/OpenKE)** (π¨βπ» 10 Β· π 700 Β· π 270 - 16% open Β· β±οΈ 08.04.2020):
+- [GitHub](https://github.com/thunlp/OpenKE) (π¨βπ» 10 Β· π 710 Β· π 270 - 16% open Β· β±οΈ 08.04.2020):
```
git clone https://github.com/thunlp/OpenKE
@@ -2791,25 +2791,25 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
Show 6 hidden projects...
igraph (π₯27 Β· β 740) - Python interface for igraph. βοΈGPL-2.0
-- **[GitHub](https://github.com/igraph/python-igraph)** (π¨βπ» 47 Β· π 180 Β· π₯ 14K Β· π¦ 1.3K Β· π 280 - 8% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/igraph/python-igraph) (π¨βπ» 47 Β· π 180 Β· π₯ 15K Β· π¦ 1.3K Β· π 280 - 8% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/igraph/python-igraph
```
-- **[PyPi](https://pypi.org/project/python-igraph)** (π₯ 54K / month Β· π¦ 420 Β· β±οΈ 28.04.2020):
+- [PyPi](https://pypi.org/project/python-igraph) (π₯ 55K / month Β· π¦ 420 Β· β±οΈ 28.04.2020):
```
pip install python-igraph
```
Karate Club (π₯20 Β· β 1.1K) - Karate Club: An API Oriented Open-source Python Framework for Unsupervised.. βοΈGPL-3.0
+Karate Club (π₯20 Β· β 1.1K) - Karate Club: An API Oriented Open-source Python Framework for.. βοΈGPL-3.0
-- **[GitHub](https://github.com/benedekrozemberczki/karateclub)** (π¨βπ» 11 Β· π 130 Β· π¦ 17 Β· β±οΈ 12.12.2020):
+- [GitHub](https://github.com/benedekrozemberczki/karateclub) (π¨βπ» 11 Β· π 130 Β· π¦ 17 Β· β±οΈ 12.12.2020):
```
git clone https://github.com/benedekrozemberczki/karateclub
```
-- **[PyPi](https://pypi.org/project/karateclub)** (π₯ 4.8K / month Β· β±οΈ 01.12.2020):
+- [PyPi](https://pypi.org/project/karateclub) (π₯ 5K / month Β· β±οΈ 01.12.2020):
```
pip install karateclub
@@ -2817,20 +2817,20 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
DeepWalk (π₯18 Β· β 2.1K Β· π€) - DeepWalk - Deep Learning for Graphs. βοΈGPL-3.0
-- **[GitHub](https://github.com/phanein/deepwalk)** (π¨βπ» 10 Β· π 740 Β· π¦ 34 Β· π 110 - 27% open Β· β±οΈ 02.04.2020):
+- [GitHub](https://github.com/phanein/deepwalk) (π¨βπ» 10 Β· π 750 Β· π¦ 34 Β· π 110 - 27% open Β· β±οΈ 02.04.2020):
```
git clone https://github.com/phanein/deepwalk
```
-- **[PyPi](https://pypi.org/project/deepwalk)** (π₯ 1.1K / month Β· π¦ 7 Β· β±οΈ 29.04.2018):
+- [PyPi](https://pypi.org/project/deepwalk) (π₯ 1K / month Β· π¦ 7 Β· β±οΈ 29.04.2018):
```
pip install deepwalk
```
GraphSAGE (π₯14 Β· β 2K Β· π) - Representation learning on large graphs using stochastic graph convolutions. MIT
+GraphSAGE (π₯14 Β· β 2K Β· π) - Representation learning on large graphs using stochastic graph.. MIT
-- **[GitHub](https://github.com/williamleif/GraphSAGE)** (π¨βπ» 9 Β· π 590 Β· π 140 - 57% open Β· β±οΈ 19.09.2018):
+- [GitHub](https://github.com/williamleif/GraphSAGE) (π¨βπ» 9 Β· π 590 Β· π 140 - 57% open Β· β±οΈ 19.09.2018):
```
git clone https://github.com/williamleif/GraphSAGE
@@ -2838,20 +2838,20 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
OpenNE (π₯14 Β· β 1.4K Β· π) - An Open-Source Package for Network Embedding (NE). MIT
-- **[GitHub](https://github.com/thunlp/OpenNE)** (π¨βπ» 10 Β· π 440 Β· π 130 - 38% open Β· β±οΈ 12.08.2019):
+- [GitHub](https://github.com/thunlp/OpenNE) (π¨βπ» 10 Β· π 440 Β· π 130 - 38% open Β· β±οΈ 12.08.2019):
```
git clone https://github.com/thunlp/OpenNE
```
GraphVite (π₯9 Β· β 810 Β· π€) - GraphVite: A General and High-performance Graph Embedding System. Apache-2
+GraphVite (π₯9 Β· β 810 Β· π€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2
-- **[GitHub](https://github.com/DeepGraphLearning/graphvite)** (π¨βπ» 1 Β· π 110 Β· π 73 - 30% open Β· β±οΈ 18.03.2020):
+- [GitHub](https://github.com/DeepGraphLearning/graphvite) (π¨βπ» 1 Β· π 110 Β· π 73 - 30% open Β· β±οΈ 18.03.2020):
```
git clone https://github.com/DeepGraphLearning/graphvite
```
-- **[Conda](https://anaconda.org/milagraph/graphvite)**:
+- [Conda](https://anaconda.org/milagraph/graphvite):
```
conda install -c milagraph graphvite
@@ -2866,40 +2866,27 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
_Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._
-DeepSpeech (π₯31 Β· β 16K) - DeepSpeech is an open source embedded (offline, on-device) speech-to-text.. MPL-2.0
+Magenta (π₯29 Β· β 16K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
-- **[GitHub](https://github.com/mozilla/DeepSpeech)** (π¨βπ» 150 Β· π 3K Β· π₯ 370K Β· π¦ 360 Β· π 1.9K - 4% open Β· β±οΈ 08.12.2020):
-
- ```
- git clone https://github.com/mozilla/DeepSpeech
- ```
-- **[PyPi](https://pypi.org/project/deepspeech)** (π₯ 16K / month Β· π¦ 29 Β· β±οΈ 05.11.2020):
-
- ```
- pip install deepspeech
- ```
-Magenta (π₯29 Β· β 16K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
-
-- **[GitHub](https://github.com/magenta/magenta)** (π¨βπ» 140 Β· π 3.2K Β· π¦ 250 Β· π 810 - 34% open Β· β±οΈ 01.12.2020):
+- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 140 Β· π 3.2K Β· π¦ 250 Β· π 810 - 34% open Β· β±οΈ 01.12.2020):
```
git clone https://github.com/magenta/magenta
```
-- **[PyPi](https://pypi.org/project/magenta)** (π₯ 4.4K / month Β· π¦ 35 Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/magenta) (π₯ 4.4K / month Β· π¦ 35 Β· β±οΈ 12.11.2020):
```
pip install magenta
```
Pydub (π₯29 Β· β 5K) - Manipulate audio with a simple and easy high level interface. MIT
+Pydub (π₯29 Β· β 5K) - Manipulate audio with a simple and easy high level interface. MIT
-- **[GitHub](https://github.com/jiaaro/pydub)** (π¨βπ» 79 Β· π 670 Β· π¦ 5.3K Β· π 400 - 41% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/jiaaro/pydub) (π¨βπ» 79 Β· π 670 Β· π¦ 5.3K Β· π 400 - 41% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/jiaaro/pydub
```
-- **[PyPi](https://pypi.org/project/pydub)** (π₯ 140K / month Β· π¦ 1.4K Β· β±οΈ 03.06.2020):
+- [PyPi](https://pypi.org/project/pydub) (π₯ 140K / month Β· π¦ 1.4K Β· β±οΈ 03.06.2020):
```
pip install pydub
@@ -2907,12 +2894,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
spleeter (π₯28 Β· β 15K) - Deezer source separation library including pretrained models. MIT
-- **[GitHub](https://github.com/deezer/spleeter)** (π¨βπ» 17 Β· π 1.5K Β· π₯ 860K Β· π¦ 120 Β· π 480 - 17% open Β· β±οΈ 07.12.2020):
+- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 17 Β· π 1.5K Β· π₯ 860K Β· π¦ 120 Β· π 480 - 17% open Β· β±οΈ 07.12.2020):
```
git clone https://github.com/deezer/spleeter
```
-- **[PyPi](https://pypi.org/project/spleeter)** (π₯ 5K / month Β· β±οΈ 23.10.2020):
+- [PyPi](https://pypi.org/project/spleeter) (π₯ 4.9K / month Β· β±οΈ 23.10.2020):
```
pip install spleeter
@@ -2920,51 +2907,64 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
librosa (π₯28 Β· β 4.1K) - Python library for audio and music analysis. ISC
-- **[GitHub](https://github.com/librosa/librosa)** (π¨βπ» 80 Β· π 660 Β· π¦ 8.4K Β· π 830 - 6% open Β· β±οΈ 11.09.2020):
+- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 80 Β· π 660 Β· π¦ 8.4K Β· π 830 - 6% open Β· β±οΈ 11.09.2020):
```
git clone https://github.com/librosa/librosa
```
-- **[PyPi](https://pypi.org/project/librosa)** (π₯ 270K / month Β· π¦ 1.8K Β· β±οΈ 22.07.2020):
+- [PyPi](https://pypi.org/project/librosa) (π₯ 270K / month Β· π¦ 1.8K Β· β±οΈ 22.07.2020):
```
pip install librosa
```
torchaudio (π₯28 Β· β 1.2K) - Data manipulation and transformation for audio signal processing, powered by.. BSD-2
+torchaudio (π₯28 Β· β 1.2K) - Data manipulation and transformation for audio signal.. BSD-2
-- **[GitHub](https://github.com/pytorch/audio)** (π¨βπ» 82 Β· π 260 Β· π¦ 860 Β· π 370 - 41% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 82 Β· π 260 Β· π¦ 870 Β· π 370 - 41% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/pytorch/audio
```
-- **[PyPi](https://pypi.org/project/torchaudio)** (π₯ 57K / month Β· π¦ 9 Β· β±οΈ 27.10.2020):
+- [PyPi](https://pypi.org/project/torchaudio) (π₯ 58K / month Β· π¦ 9 Β· β±οΈ 27.10.2020):
```
pip install torchaudio
```
pyAudioAnalysis (π₯26 Β· β 3.6K) - Python Audio Analysis Library: Feature Extraction, Classification,.. Apache-2
+pyAudioAnalysis (π₯26 Β· β 3.6K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
-- **[GitHub](https://github.com/tyiannak/pyAudioAnalysis)** (π¨βπ» 23 Β· π 920 Β· π¦ 170 Β· π 260 - 60% open Β· β±οΈ 19.11.2020):
+- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 23 Β· π 920 Β· π¦ 170 Β· π 260 - 60% open Β· β±οΈ 19.11.2020):
```
git clone https://github.com/tyiannak/pyAudioAnalysis
```
-- **[PyPi](https://pypi.org/project/pyAudioAnalysis)** (π₯ 9K / month Β· π¦ 11 Β· β±οΈ 29.09.2020):
+- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 9.1K / month Β· π¦ 11 Β· β±οΈ 29.09.2020):
```
pip install pyAudioAnalysis
```
DeepSpeech (π₯25 Β· β 16K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0
+
+- [GitHub](https://github.com/mozilla/DeepSpeech) (π¨βπ» 93 Β· π 3K):
+
+ ```
+ git clone https://github.com/mozilla/DeepSpeech
+ ```
+- [PyPi](https://pypi.org/project/deepspeech) (π₯ 16K / month Β· π¦ 29 Β· β±οΈ 05.11.2020):
+
+ ```
+ pip install deepspeech
+ ```
+DDSP (π₯23 Β· β 1.7K) - DDSP: Differentiable Digital Signal Processing. Apache-2
-- **[GitHub](https://github.com/magenta/ddsp)** (π¨βπ» 21 Β· π 160 Β· π¦ 5 Β· π 97 - 16% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 21 Β· π 160 Β· π¦ 5 Β· π 97 - 16% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/magenta/ddsp
```
-- **[PyPi](https://pypi.org/project/ddsp)** (π₯ 1.7K / month Β· β±οΈ 21.08.2020):
+- [PyPi](https://pypi.org/project/ddsp) (π₯ 1.6K / month Β· β±οΈ 21.08.2020):
```
pip install ddsp
@@ -2972,12 +2972,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Dejavu (π₯21 Β· β 5.2K) - Audio fingerprinting and recognition in Python. MIT
-- **[GitHub](https://github.com/worldveil/dejavu)** (π¨βπ» 23 Β· π 1.2K Β· π¦ 16 Β· π 210 - 39% open Β· β±οΈ 03.06.2020):
+- [GitHub](https://github.com/worldveil/dejavu) (π¨βπ» 23 Β· π 1.2K Β· π¦ 16 Β· π 210 - 39% open Β· β±οΈ 03.06.2020):
```
git clone https://github.com/worldveil/dejavu
```
-- **[PyPi](https://pypi.org/project/PyDejavu)** (π₯ 150 / month Β· π¦ 1 Β· β±οΈ 19.04.2015):
+- [PyPi](https://pypi.org/project/PyDejavu) (π₯ 140 / month Β· π¦ 1 Β· β±οΈ 19.04.2015):
```
pip install PyDejavu
@@ -2985,25 +2985,25 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Porcupine (π₯21 Β· β 2.3K) - On-device wake word detection powered by deep learning. Apache-2
-- **[GitHub](https://github.com/Picovoice/porcupine)** (π¨βπ» 25 Β· π 320 Β· π¦ 3 Β· π 260 - 2% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 25 Β· π 320 Β· π¦ 3 Β· π 260 - 2% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/Picovoice/Porcupine
```
-- **[PyPi](https://pypi.org/project/pvporcupine)** (π₯ 680 / month Β· β±οΈ 02.10.2020):
+- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 670 / month Β· β±οΈ 02.10.2020):
```
pip install pvporcupine
```
Madmom (π₯20 Β· β 690 Β· π€) - Python audio and music signal processing library. BSD-3
+Madmom (π₯21 Β· β 690 Β· π€) - Python audio and music signal processing library. BSD-3
-- **[GitHub](https://github.com/CPJKU/madmom)** (π¨βπ» 19 Β· π 110 Β· π¦ 110 Β· π 220 - 19% open Β· β±οΈ 19.12.2019):
+- [GitHub](https://github.com/CPJKU/madmom) (π¨βπ» 19 Β· π 120 Β· π¦ 110 Β· π 220 - 19% open Β· β±οΈ 19.12.2019):
```
git clone https://github.com/CPJKU/madmom
```
-- **[PyPi](https://pypi.org/project/madmom)** (π₯ 1.1K / month Β· π¦ 8 Β· β±οΈ 14.11.2018):
+- [PyPi](https://pypi.org/project/madmom) (π₯ 1.1K / month Β· π¦ 8 Β· β±οΈ 14.11.2018):
```
pip install madmom
@@ -3011,52 +3011,52 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Muda (π₯16 Β· β 170) - A library for augmenting annotated audio data. ISC
-- **[GitHub](https://github.com/bmcfee/muda)** (π¨βπ» 6 Β· π 30 Β· π¦ 7 Β· π 49 - 10% open Β· β±οΈ 20.07.2020):
+- [GitHub](https://github.com/bmcfee/muda) (π¨βπ» 6 Β· π 30 Β· π¦ 7 Β· π 49 - 10% open Β· β±οΈ 20.07.2020):
```
git clone https://github.com/bmcfee/muda
```
-- **[PyPi](https://pypi.org/project/muda)** (π₯ 110 / month Β· π¦ 1 Β· β±οΈ 15.11.2019):
+- [PyPi](https://pypi.org/project/muda) (π₯ 120 / month Β· π¦ 1 Β· β±οΈ 15.11.2019):
```
pip install muda
```
Julius (π₯13 Β· β 150 Β· π£) - Fast PyTorch based DSP for audio and 1D signals. MIT
+Julius (π₯13 Β· β 160 Β· π£) - Fast PyTorch based DSP for audio and 1D signals. MIT
-- **[GitHub](https://github.com/adefossez/julius)** (π¨βπ» 2 Β· π 6 Β· π¦ 1 Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/adefossez/julius) (π¨βπ» 2 Β· π 6 Β· π¦ 1 Β· β±οΈ 10.12.2020):
```
git clone https://github.com/adefossez/julius
```
-- **[PyPi](https://pypi.org/project/julius)** (π₯ 200 / month Β· β±οΈ 25.11.2020):
+- [PyPi](https://pypi.org/project/julius) (π₯ 210 / month Β· β±οΈ 25.11.2020):
```
pip install julius
```
Show 3 hidden projects...
-
SpeechRecognition (π₯30 Β· β 5.3K Β· π) - Speech recognition module for Python, supporting several engines and.. BSD-3
+
SpeechRecognition (π₯30 Β· β 5.3K Β· π) - Speech recognition module for Python, supporting several.. BSD-3
-- **[GitHub](https://github.com/Uberi/speech_recognition)** (π¨βπ» 41 Β· π 1.8K Β· π¦ 6.1K Β· π 460 - 41% open Β· β±οΈ 02.07.2019):
+- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 41 Β· π 1.8K Β· π¦ 6.1K Β· π 460 - 41% open Β· β±οΈ 02.07.2019):
```
git clone https://github.com/Uberi/speech_recognition
```
-- **[PyPi](https://pypi.org/project/SpeechRecognition)** (π₯ 130K / month Β· π¦ 1.1K Β· β±οΈ 05.12.2017):
+- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 130K / month Β· π¦ 1.1K Β· β±οΈ 05.12.2017):
```
pip install SpeechRecognition
```
Essentia (π₯23 Β· β 1.7K) - C++ library for audio and music analysis, description and synthesis,.. βοΈAGPL-3.0
+Essentia (π₯23 Β· β 1.7K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
-- **[GitHub](https://github.com/MTG/essentia)** (π¨βπ» 67 Β· π 390 Β· π¦ 140 Β· π 840 - 33% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/MTG/essentia) (π¨βπ» 67 Β· π 390 Β· π¦ 140 Β· π 840 - 33% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/MTG/essentia
```
-- **[PyPi](https://pypi.org/project/essentia)** (π₯ 1.4K / month Β· π¦ 5 Β· β±οΈ 22.04.2020):
+- [PyPi](https://pypi.org/project/essentia) (π₯ 1.4K / month Β· π¦ 5 Β· β±οΈ 22.04.2020):
```
pip install essentia
@@ -3064,7 +3064,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
aubio (π₯22 Β· β 2K) - a library for audio and music analysis. βοΈGPL-3.0
-- **[GitHub](https://github.com/aubio/aubio)** (π¨βπ» 24 Β· π 290 Β· π¦ 200 Β· π 270 - 37% open Β· β±οΈ 02.07.2020):
+- [GitHub](https://github.com/aubio/aubio) (π¨βπ» 24 Β· π 290 Β· π¦ 200 Β· π 270 - 37% open Β· β±οΈ 02.07.2020):
```
git clone https://github.com/aubio/aubio
@@ -3081,12 +3081,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoPandas (π₯32 Β· β 2.4K) - Python tools for geographic data. BSD-3
-- **[GitHub](https://github.com/geopandas/geopandas)** (π¨βπ» 130 Β· π 530 Β· π₯ 820 Β· π¦ 6.5K Β· π 940 - 31% open Β· β±οΈ 07.12.2020):
+- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 130 Β· π 530 Β· π₯ 820 Β· π¦ 6.6K Β· π 940 - 31% open Β· β±οΈ 07.12.2020):
```
git clone https://github.com/geopandas/geopandas
```
-- **[PyPi](https://pypi.org/project/geopandas)** (π₯ 460K / month Β· π¦ 1.2K Β· β±οΈ 24.06.2020):
+- [PyPi](https://pypi.org/project/geopandas) (π₯ 460K / month Β· π¦ 1.2K Β· β±οΈ 24.06.2020):
```
pip install geopandas
@@ -3094,12 +3094,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
folium (π₯31 Β· β 5K) - Python Data. Leaflet.js Maps. MIT
-- **[GitHub](https://github.com/python-visualization/folium)** (π¨βπ» 120 Β· π 1.9K Β· π¦ 7.7K Β· π 820 - 17% open Β· β±οΈ 29.11.2020):
+- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 120 Β· π 1.9K Β· π¦ 7.7K Β· π 820 - 17% open Β· β±οΈ 29.11.2020):
```
git clone https://github.com/python-visualization/folium
```
-- **[PyPi](https://pypi.org/project/folium)** (π₯ 270K / month Β· π¦ 970 Β· β±οΈ 07.05.2020):
+- [PyPi](https://pypi.org/project/folium) (π₯ 270K / month Β· π¦ 970 Β· β±οΈ 07.05.2020):
```
pip install folium
@@ -3107,12 +3107,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
geopy (π₯31 Β· β 3.1K) - Geocoding library for Python. MIT
-- **[GitHub](https://github.com/geopy/geopy)** (π¨βπ» 120 Β· π 520 Β· π¦ 15K Β· π 230 - 11% open Β· β±οΈ 13.09.2020):
+- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 120 Β· π 520 Β· π¦ 15K Β· π 230 - 11% open Β· β±οΈ 13.09.2020):
```
git clone https://github.com/geopy/geopy
```
-- **[PyPi](https://pypi.org/project/geopy)** (π₯ 2.5M / month Β· π¦ 7.2K Β· β±οΈ 27.06.2020):
+- [PyPi](https://pypi.org/project/geopy) (π₯ 2.5M / month Β· π¦ 7.2K Β· β±οΈ 27.06.2020):
```
pip install geopy
@@ -3120,12 +3120,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Rasterio (π₯30 Β· β 1.4K) - Rasterio reads and writes geospatial raster datasets. BSD-3
-- **[GitHub](https://github.com/mapbox/rasterio)** (π¨βπ» 110 Β· π 390 Β· π₯ 700 Β· π¦ 2.5K Β· π 1.3K - 10% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/mapbox/rasterio) (π¨βπ» 110 Β· π 390 Β· π₯ 700 Β· π¦ 2.5K Β· π 1.3K - 10% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/mapbox/rasterio
```
-- **[PyPi](https://pypi.org/project/rasterio)** (π₯ 180K / month Β· π¦ 850 Β· β±οΈ 13.12.2020):
+- [PyPi](https://pypi.org/project/rasterio) (π₯ 180K / month Β· π¦ 850 Β· β±οΈ 13.12.2020):
```
pip install rasterio
@@ -3133,43 +3133,30 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Fiona (π₯30 Β· β 760) - Fiona reads and writes geographic data files. BSD-3
-- **[GitHub](https://github.com/Toblerity/Fiona)** (π¨βπ» 65 Β· π 160 Β· π¦ 4.6K Β· π 620 - 11% open Β· β±οΈ 30.11.2020):
+- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 65 Β· π 160 Β· π¦ 4.6K Β· π 620 - 11% open Β· β±οΈ 30.11.2020):
```
git clone https://github.com/Toblerity/Fiona
```
-- **[PyPi](https://pypi.org/project/fiona)** (π₯ 540K / month Β· π¦ 1.2K Β· β±οΈ 17.11.2020):
+- [PyPi](https://pypi.org/project/fiona) (π₯ 540K / month Β· π¦ 1.2K Β· β±οΈ 17.11.2020):
```
pip install fiona
```
pyproj (π₯28 Β· β 550) - Python interface to PROJ (cartographic projections and coordinate transformations.. MIT
-
-- **[GitHub](https://github.com/pyproj4/pyproj)** (π¨βπ» 39 Β· π 140 Β· π¦ 7.8K Β· π 380 - 1% open Β· β±οΈ 10.12.2020):
-
- ```
- git clone https://github.com/pyproj4/pyproj
- ```
-- **[PyPi](https://pypi.org/project/pyproj)** (π₯ 1.3M / month Β· π¦ 2.5K Β· β±οΈ 05.11.2020):
-
- ```
- pip install pyproj
- ```
-ipyleaflet (π₯27 Β· β 1.1K) - A Jupyter - Leaflet.js bridge. MIT
-- **[GitHub](https://github.com/jupyter-widgets/ipyleaflet)** (π¨βπ» 63 Β· π 260 Β· π¦ 630 Β· π 370 - 33% open Β· β±οΈ 30.11.2020):
+- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 63 Β· π 260 Β· π¦ 630 Β· π 370 - 33% open Β· β±οΈ 30.11.2020):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
```
-- **[PyPi](https://pypi.org/project/ipyleaflet)** (π₯ 17K / month Β· π¦ 98 Β· β±οΈ 24.07.2020):
+- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 17K / month Β· π¦ 98 Β· β±οΈ 24.07.2020):
```
pip install ipyleaflet
```
-- **[NPM](https://www.npmjs.com/package/jupyter-leaflet)** (π₯ 150K / month Β· π¦ 2 Β· β±οΈ 24.07.2020):
+- [NPM](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 160K / month Β· π¦ 2 Β· β±οΈ 24.07.2020):
```
npm install jupyter-leaflet
@@ -3177,12 +3164,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
geojson (π₯27 Β· β 580) - Python bindings and utilities for GeoJSON. BSD-3
-- **[GitHub](https://github.com/jazzband/geojson)** (π¨βπ» 44 Β· π 78 Β· π¦ 5.4K Β· π 68 - 26% open Β· β±οΈ 25.11.2020):
+- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 44 Β· π 78 Β· π¦ 5.4K Β· π 68 - 26% open Β· β±οΈ 25.11.2020):
```
git clone https://github.com/jazzband/geojson
```
-- **[PyPi](https://pypi.org/project/geojson)** (π₯ 440K / month Β· π¦ 1.6K Β· β±οΈ 09.08.2019):
+- [PyPi](https://pypi.org/project/geojson) (π₯ 430K / month Β· π¦ 1.6K Β· β±οΈ 09.08.2019):
```
pip install geojson
@@ -3190,17 +3177,17 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ArcGIS API (π₯25 Β· β 910) - Documentation and samples for ArcGIS API for Python. Apache-2
-- **[GitHub](https://github.com/Esri/arcgis-python-api)** (π¨βπ» 60 Β· π 680 Β· π 310 - 40% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 60 Β· π 680 Β· π 310 - 40% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/Esri/arcgis-python-api
```
-- **[PyPi](https://pypi.org/project/arcgis)** (π₯ 12K / month Β· π¦ 10 Β· β±οΈ 30.11.2020):
+- [PyPi](https://pypi.org/project/arcgis) (π₯ 12K / month Β· π¦ 10 Β· β±οΈ 30.11.2020):
```
pip install arcgis
```
-- **[Dockerhub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook)** (π₯ 3.6K Β· β 28 Β· β±οΈ 06.03.2020):
+- [Dockerhub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (π₯ 3.6K Β· β 28 Β· β±οΈ 06.03.2020):
```
docker pull esridocker/arcgis-api-python-notebook
@@ -3208,12 +3195,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
PySAL (π₯24 Β· β 800) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
-- **[GitHub](https://github.com/pysal/pysal)** (π¨βπ» 69 Β· π 240 Β· π 630 - 9% open Β· β±οΈ 01.08.2020):
+- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 69 Β· π 240 Β· π 630 - 9% open Β· β±οΈ 01.08.2020):
```
git clone https://github.com/pysal/pysal
```
-- **[PyPi](https://pypi.org/project/pysal)** (π₯ 10K / month Β· π¦ 18 Β· β±οΈ 30.07.2020):
+- [PyPi](https://pypi.org/project/pysal) (π₯ 10K / month Β· π¦ 18 Β· β±οΈ 30.07.2020):
```
pip install pysal
@@ -3221,48 +3208,43 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoViews (π₯23 Β· β 320) - Simple, concise geographical visualization in Python. BSD-3
-- **[GitHub](https://github.com/holoviz/geoviews)** (π¨βπ» 21 Β· π 59 Β· π¦ 170 Β· π 250 - 31% open Β· β±οΈ 21.09.2020):
+- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 21 Β· π 59 Β· π¦ 170 Β· π 250 - 31% open Β· β±οΈ 21.09.2020):
```
git clone https://github.com/holoviz/geoviews
```
-- **[PyPi](https://pypi.org/project/geoviews)** (π₯ 1.7K / month Β· π¦ 10 Β· β±οΈ 30.03.2020):
+- [PyPi](https://pypi.org/project/geoviews) (π₯ 1.7K / month Β· π¦ 10 Β· β±οΈ 30.03.2020):
```
pip install geoviews
```
-- **[Conda](https://anaconda.org/conda-forge/geoviews)**:
+- [Conda](https://anaconda.org/conda-forge/geoviews):
```
conda install -c conda-forge geoviews
```
EarthPy (π₯22 Β· β 210) - A package built to support working with spatial data using open source python. BSD-3
+pyproj (π₯22 Β· β 550) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- **[GitHub](https://github.com/earthlab/earthpy)** (π¨βπ» 38 Β· π 89 Β· π¦ 69 Β· π 220 - 9% open Β· β±οΈ 03.12.2020):
+- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 39 Β· π 140 Β· π¦ 7.8K Β· π 380 - 1% open Β· β±οΈ 10.12.2020):
```
- git clone https://github.com/earthlab/earthpy
- ```
-- **[PyPi](https://pypi.org/project/earthpy)** (π₯ 2.3K / month Β· π¦ 3 Β· β±οΈ 18.06.2020):
-
- ```
- pip install earthpy
+ git clone https://github.com/pyproj4/pyproj
```
-- **[Conda](https://anaconda.org/conda-forge/earthpy)**:
+- [PyPi](https://pypi.org/project/pyproj) (π¦ 2.5K Β· β±οΈ 05.11.2020):
```
- conda install -c conda-forge earthpy
+ pip install pyproj
```
pymap3d (π₯21 Β· β 160) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci. BSD-2
+pymap3d (π₯21 Β· β 160) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2
-- **[GitHub](https://github.com/geospace-code/pymap3d)** (π¨βπ» 8 Β· π 55 Β· π 24 - 8% open Β· β±οΈ 08.11.2020):
+- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 8 Β· π 55 Β· π 24 - 8% open Β· β±οΈ 08.11.2020):
```
git clone https://github.com/geospace-code/pymap3d
```
-- **[PyPi](https://pypi.org/project/pymap3d)** (π₯ 20K / month Β· π¦ 3 Β· β±οΈ 21.09.2020):
+- [PyPi](https://pypi.org/project/pymap3d) (π₯ 20K / month Β· π¦ 3 Β· β±οΈ 21.09.2020):
```
pip install pymap3d
@@ -3270,26 +3252,44 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Mapbox GL (π₯20 Β· β 550 Β· π€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT
-- **[GitHub](https://github.com/mapbox/mapboxgl-jupyter)** (π¨βπ» 20 Β· π 120 Β· π¦ 83 Β· π 100 - 33% open Β· β±οΈ 03.12.2019):
+- [GitHub](https://github.com/mapbox/mapboxgl-jupyter) (π¨βπ» 20 Β· π 120 Β· π¦ 83 Β· π 100 - 33% open Β· β±οΈ 03.12.2019):
```
git clone https://github.com/mapbox/mapboxgl-jupyter
```
-- **[PyPi](https://pypi.org/project/mapboxgl)** (π₯ 7.1K / month Β· π¦ 18 Β· β±οΈ 02.06.2019):
+- [PyPi](https://pypi.org/project/mapboxgl) (π₯ 7K / month Β· π¦ 18 Β· β±οΈ 02.06.2019):
```
pip install mapboxgl
```
EarthPy (π₯19 Β· β 210) - A package built to support working with spatial data using open source.. BSD-3
+
+- [GitHub](https://github.com/earthlab/earthpy) (π¨βπ» 38 Β· π 89 Β· π¦ 69 Β· π 220 - 9% open Β· β±οΈ 03.12.2020):
+
+ ```
+ git clone https://github.com/earthlab/earthpy
+ ```
+- [PyPi](https://pypi.org/project/earthpy) (π¦ 3 Β· β±οΈ 18.06.2020):
+
+ ```
+ pip install earthpy
+ ```
+- [Conda](https://anaconda.org/conda-forge/earthpy):
+
+ ```
+ conda install -c conda-forge earthpy
+ ```
+Show 6 hidden projects...
Geocoder (π₯29 Β· β 1.3K Β· π) - Python Geocoder. MIT
-- **[GitHub](https://github.com/DenisCarriere/geocoder)** (π¨βπ» 74 Β· π 250 Β· π¦ 2.9K Β· π 280 - 22% open Β· β±οΈ 12.10.2018):
+- [GitHub](https://github.com/DenisCarriere/geocoder) (π¨βπ» 74 Β· π 250 Β· π¦ 2.9K Β· π 280 - 22% open Β· β±οΈ 12.10.2018):
```
git clone https://github.com/DenisCarriere/geocoder
```
-- **[PyPi](https://pypi.org/project/geocoder)** (π₯ 230K / month Β· π¦ 580 Β· β±οΈ 04.04.2018):
+- [PyPi](https://pypi.org/project/geocoder) (π₯ 230K / month Β· π¦ 580 Β· β±οΈ 04.04.2018):
```
pip install geocoder
@@ -3297,12 +3297,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Cartopy (π₯27 Β· β 1.4K) - Rasterio reads and writes geospatial raster datasets. βοΈLGPL-3.0
-- **[GitHub](https://github.com/mapbox/rasterio)** (π¨βπ» 110 Β· π 390 Β· π₯ 700 Β· π¦ 2.5K Β· π 1.3K - 10% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/mapbox/rasterio) (π¨βπ» 110 Β· π 390 Β· π₯ 700 Β· π¦ 2.5K Β· π 1.3K - 10% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/mapbox/rasterio
```
-- **[PyPi](https://pypi.org/project/Cartopy)** (π₯ 14K / month Β· π¦ 170 Β· β±οΈ 27.04.2020):
+- [PyPi](https://pypi.org/project/Cartopy) (π₯ 14K / month Β· π¦ 170 Β· β±οΈ 27.04.2020):
```
pip install Cartopy
@@ -3310,43 +3310,30 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Satpy (π₯23 Β· β 650) - Python package for earth-observing satellite data processing. βοΈGPL-3.0
-- **[GitHub](https://github.com/pytroll/satpy)** (π¨βπ» 100 Β· π 190 Β· π¦ 37 Β· π 580 - 52% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/pytroll/satpy) (π¨βπ» 100 Β· π 190 Β· π¦ 37 Β· π 580 - 52% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/pytroll/satpy
```
-- **[PyPi](https://pypi.org/project/satpy)** (π₯ 840 / month Β· π¦ 6 Β· β±οΈ 16.11.2020):
+- [PyPi](https://pypi.org/project/satpy) (π₯ 840 / month Β· π¦ 6 Β· β±οΈ 16.11.2020):
```
pip install satpy
```
Sentinelsat (π₯22 Β· β 520) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
-
-- **[GitHub](https://github.com/sentinelsat/sentinelsat)** (π¨βπ» 33 Β· π 160 Β· π₯ 180 Β· π¦ 150 Β· π 230 - 12% open Β· β±οΈ 10.11.2020):
-
- ```
- git clone https://github.com/sentinelsat/sentinelsat
- ```
-- **[PyPi](https://pypi.org/project/sentinelsat)** (π₯ 8.9K / month Β· π¦ 22 Β· β±οΈ 12.06.2020):
-
- ```
- pip install sentinelsat
- ```
-gmaps (π₯21 Β· β 690 Β· π) - Google maps for Jupyter notebooks. BSD-3
-- **[GitHub](https://github.com/pbugnion/gmaps)** (π¨βπ» 16 Β· π 140 Β· π¦ 1 Β· π 200 - 31% open Β· β±οΈ 22.07.2019):
+- [GitHub](https://github.com/pbugnion/gmaps) (π¨βπ» 16 Β· π 140 Β· π¦ 1 Β· π 200 - 31% open Β· β±οΈ 22.07.2019):
```
git clone https://github.com/pbugnion/gmaps
```
-- **[PyPi](https://pypi.org/project/gmaps)** (π₯ 3.7K / month Β· π¦ 37 Β· β±οΈ 20.07.2019):
+- [PyPi](https://pypi.org/project/gmaps) (π₯ 3.7K / month Β· π¦ 37 Β· β±οΈ 20.07.2019):
```
pip install gmaps
```
-- **[NPM](https://www.npmjs.com/package/jupyter-gmaps)** (π₯ 1.6K / month Β· β±οΈ 21.07.2019):
+- [NPM](https://www.npmjs.com/package/jupyter-gmaps) (π₯ 1.6K / month Β· β±οΈ 21.07.2019):
```
npm install jupyter-gmaps
@@ -3354,17 +3341,30 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
geoplotlib (π₯20 Β· β 880 Β· π) - python toolbox for visualizing geographical data and making maps. MIT
-- **[GitHub](https://github.com/andrea-cuttone/geoplotlib)** (π¨βπ» 8 Β· π 140 Β· π¦ 84 Β· π 41 - 56% open Β· β±οΈ 06.05.2019):
+- [GitHub](https://github.com/andrea-cuttone/geoplotlib) (π¨βπ» 8 Β· π 140 Β· π¦ 84 Β· π 41 - 56% open Β· β±οΈ 06.05.2019):
```
git clone https://github.com/andrea-cuttone/geoplotlib
```
-- **[PyPi](https://pypi.org/project/geoplotlib)** (π₯ 1.6K / month Β· π¦ 9 Β· β±οΈ 27.07.2016):
+- [PyPi](https://pypi.org/project/geoplotlib) (π₯ 1.6K / month Β· π¦ 9 Β· β±οΈ 27.07.2016):
```
pip install geoplotlib
```
Sentinelsat (π₯18 Β· β 520) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
+
+- [GitHub](https://github.com/sentinelsat/sentinelsat) (π¨βπ» 33 Β· π 160 Β· π₯ 180 Β· π¦ 150 Β· π 230 - 12% open Β· β±οΈ 10.11.2020):
+
+ ```
+ git clone https://github.com/sentinelsat/sentinelsat
+ ```
+- [PyPi](https://pypi.org/project/sentinelsat) (π¦ 22 Β· β±οΈ 12.06.2020):
+
+ ```
+ pip install sentinelsat
+ ```
+
@@ -3376,12 +3376,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
zipline (π₯30 Β· β 13K) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
-- **[GitHub](https://github.com/quantopian/zipline)** (π¨βπ» 150 Β· π 3.6K Β· π¦ 650 Β· π 960 - 33% open Β· β±οΈ 14.10.2020):
+- [GitHub](https://github.com/quantopian/zipline) (π¨βπ» 150 Β· π 3.6K Β· π¦ 650 Β· π 960 - 33% open Β· β±οΈ 14.10.2020):
```
git clone https://github.com/quantopian/zipline
```
-- **[PyPi](https://pypi.org/project/zipline)** (π₯ 3.5K / month Β· π¦ 79 Β· β±οΈ 05.10.2020):
+- [PyPi](https://pypi.org/project/zipline) (π₯ 3.4K / month Β· π¦ 79 Β· β±οΈ 05.10.2020):
```
pip install zipline
@@ -3389,30 +3389,30 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
yfinance (π₯29 Β· β 3.6K) - Yahoo! Finance market data downloader (+faster Pandas Datareader). Apache-2
-- **[GitHub](https://github.com/ranaroussi/yfinance)** (π¨βπ» 25 Β· π 940 Β· π¦ 2.3K Β· π 450 - 63% open Β· β±οΈ 25.09.2020):
+- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 25 Β· π 940 Β· π¦ 2.3K Β· π 460 - 63% open Β· β±οΈ 25.09.2020):
```
git clone https://github.com/ranaroussi/yfinance
```
-- **[PyPi](https://pypi.org/project/yfinance)** (π₯ 110K / month Β· π¦ 26 Β· β±οΈ 05.10.2020):
+- [PyPi](https://pypi.org/project/yfinance) (π₯ 110K / month Β· π¦ 26 Β· β±οΈ 05.10.2020):
```
pip install yfinance
```
-- **[Conda](https://anaconda.org/ranaroussi/yfinance)**:
+- [Conda](https://anaconda.org/ranaroussi/yfinance):
```
conda install -c ranaroussi yfinance
```
empyrical (π₯26 Β· β 660) - Common financial risk and performance metrics. Used by zipline and pyfolio. Apache-2
+empyrical (π₯26 Β· β 660) - Common financial risk and performance metrics. Used by zipline.. Apache-2
-- **[GitHub](https://github.com/quantopian/empyrical)** (π¨βπ» 22 Β· π 200 Β· π¦ 470 Β· π 53 - 50% open Β· β±οΈ 14.10.2020):
+- [GitHub](https://github.com/quantopian/empyrical) (π¨βπ» 22 Β· π 200 Β· π¦ 480 Β· π 53 - 50% open Β· β±οΈ 14.10.2020):
```
git clone https://github.com/quantopian/empyrical
```
-- **[PyPi](https://pypi.org/project/empyrical)** (π₯ 13K / month Β· π¦ 220 Β· β±οΈ 13.10.2020):
+- [PyPi](https://pypi.org/project/empyrical) (π₯ 13K / month Β· π¦ 220 Β· β±οΈ 13.10.2020):
```
pip install empyrical
@@ -3420,12 +3420,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
pyfolio (π₯25 Β· β 3.3K) - Portfolio and risk analytics in Python. Apache-2
-- **[GitHub](https://github.com/quantopian/pyfolio)** (π¨βπ» 55 Β· π 990 Β· π¦ 180 Β· π 380 - 31% open Β· β±οΈ 15.07.2020):
+- [GitHub](https://github.com/quantopian/pyfolio) (π¨βπ» 55 Β· π 990 Β· π¦ 180 Β· π 380 - 31% open Β· β±οΈ 15.07.2020):
```
git clone https://github.com/quantopian/pyfolio
```
-- **[PyPi](https://pypi.org/project/pyfolio)** (π₯ 6.1K / month Β· π¦ 27 Β· β±οΈ 15.04.2019):
+- [PyPi](https://pypi.org/project/pyfolio) (π₯ 5.8K / month Β· π¦ 27 Β· β±οΈ 15.04.2019):
```
pip install pyfolio
@@ -3433,12 +3433,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Alpha Vantage (π₯25 Β· β 2.9K) - A python wrapper for Alpha Vantage API for financial data. MIT
-- **[GitHub](https://github.com/RomelTorres/alpha_vantage)** (π¨βπ» 34 Β· π 530 Β· π 210 - 8% open Β· β±οΈ 03.09.2020):
+- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 34 Β· π 530 Β· π 210 - 8% open Β· β±οΈ 03.09.2020):
```
git clone https://github.com/RomelTorres/alpha_vantage
```
-- **[PyPi](https://pypi.org/project/alpha_vantage)** (π₯ 27K / month Β· π¦ 200 Β· β±οΈ 26.08.2018):
+- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 26K / month Β· π¦ 200 Β· β±οΈ 26.08.2018):
```
pip install alpha_vantage
@@ -3446,12 +3446,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Alphalens (π₯24 Β· β 1.6K Β· π€) - Performance analysis of predictive (alpha) stock factors. Apache-2
-- **[GitHub](https://github.com/quantopian/alphalens)** (π¨βπ» 25 Β· π 600 Β· π¦ 340 Β· π 180 - 20% open Β· β±οΈ 27.04.2020):
+- [GitHub](https://github.com/quantopian/alphalens) (π¨βπ» 25 Β· π 600 Β· π¦ 340 Β· π 180 - 20% open Β· β±οΈ 27.04.2020):
```
git clone https://github.com/quantopian/alphalens
```
-- **[PyPi](https://pypi.org/project/alphalens)** (π₯ 1.5K / month Β· π¦ 14 Β· β±οΈ 27.04.2020):
+- [PyPi](https://pypi.org/project/alphalens) (π₯ 1.5K / month Β· π¦ 14 Β· β±οΈ 27.04.2020):
```
pip install alphalens
@@ -3459,12 +3459,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
IB-insync (π₯24 Β· β 1.1K) - Python sync/async framework for Interactive Brokers API. BSD-2
-- **[GitHub](https://github.com/erdewit/ib_insync)** (π¨βπ» 25 Β· π 370 Β· π 280 - 1% open Β· β±οΈ 13.12.2020):
+- [GitHub](https://github.com/erdewit/ib_insync) (π¨βπ» 25 Β· π 370 Β· π 280 - 1% open Β· β±οΈ 13.12.2020):
```
git clone https://github.com/erdewit/ib_insync
```
-- **[PyPi](https://pypi.org/project/ib_insync)** (π₯ 3.2K / month Β· π¦ 12 Β· β±οΈ 03.11.2020):
+- [PyPi](https://pypi.org/project/ib_insync) (π₯ 3.2K / month Β· π¦ 12 Β· β±οΈ 03.11.2020):
```
pip install ib_insync
@@ -3472,12 +3472,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
ffn (π₯24 Β· β 720) - ffn - a financial function library for Python. MIT
-- **[GitHub](https://github.com/pmorissette/ffn)** (π¨βπ» 22 Β· π 170 Β· π¦ 94 Β· π 72 - 27% open Β· β±οΈ 16.11.2020):
+- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 22 Β· π 170 Β· π¦ 94 Β· π 72 - 23% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/pmorissette/ffn
```
-- **[PyPi](https://pypi.org/project/ffn)** (π₯ 11K / month Β· π¦ 16 Β· β±οΈ 28.05.2018):
+- [PyPi](https://pypi.org/project/ffn) (π₯ 11K / month Β· π¦ 16 Β· β±οΈ 28.05.2018):
```
pip install ffn
@@ -3485,64 +3485,64 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
bt (π₯22 Β· β 900) - bt - flexible backtesting for Python. MIT
-- **[GitHub](https://github.com/pmorissette/bt)** (π¨βπ» 20 Β· π 240 Β· π¦ 39 Β· π 210 - 27% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 20 Β· π 240 Β· π¦ 39 Β· π 210 - 25% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/pmorissette/bt
```
-- **[PyPi](https://pypi.org/project/bt)** (π₯ 3.7K / month Β· π¦ 20 Β· β±οΈ 28.05.2018):
+- [PyPi](https://pypi.org/project/bt) (π₯ 3.5K / month Β· π¦ 20 Β· β±οΈ 28.05.2018):
```
pip install bt
```
finmarketpy (π₯20 Β· β 2.4K) - Python library for backtesting trading strategies & analyzing financial.. Apache-2
+finmarketpy (π₯20 Β· β 2.4K) - Python library for backtesting trading strategies & analyzing.. Apache-2
-- **[GitHub](https://github.com/cuemacro/finmarketpy)** (π¨βπ» 13 Β· π 410 Β· π₯ 39 Β· π¦ 3 Β· π 24 - 87% open Β· β±οΈ 02.12.2020):
+- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 13 Β· π 410 Β· π₯ 39 Β· π¦ 3 Β· π 24 - 87% open Β· β±οΈ 02.12.2020):
```
git clone https://github.com/cuemacro/finmarketpy
```
-- **[PyPi](https://pypi.org/project/finmarketpy)** (π₯ 96 / month Β· β±οΈ 20.10.2020):
+- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 89 / month Β· β±οΈ 20.10.2020):
```
pip install finmarketpy
```
TensorTrade (π₯20 Β· β 2K) - An open source reinforcement learning framework for training, evaluating, and.. Apache-2
+TensorTrade (π₯20 Β· β 2K) - An open source reinforcement learning framework for training,.. Apache-2
-- **[GitHub](https://github.com/tensortrade-org/tensortrade)** (π¨βπ» 42 Β· π 520 Β· π¦ 8 Β· π 140 - 23% open Β· β±οΈ 17.09.2020):
+- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 42 Β· π 520 Β· π¦ 8 Β· π 140 - 23% open Β· β±οΈ 17.09.2020):
```
git clone https://github.com/tensortrade-org/tensortrade
```
-- **[PyPi](https://pypi.org/project/tensortrade)** (π₯ 680 / month Β· π¦ 1 Β· β±οΈ 24.08.2020):
+- [PyPi](https://pypi.org/project/tensortrade) (π₯ 660 / month Β· π¦ 1 Β· β±οΈ 24.08.2020):
```
pip install tensortrade
```
Qlib (π₯19 Β· β 2.7K Β· π£) - Qlib is an AI-oriented quantitative investment platform, which aims to realize.. MIT
+Qlib (π₯19 Β· β 2.8K Β· π£) - Qlib is an AI-oriented quantitative investment platform, which aims.. MIT
-- **[GitHub](https://github.com/microsoft/qlib)** (π¨βπ» 23 Β· π 390 Β· π₯ 130 Β· π 58 - 58% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 23 Β· π 400 Β· π₯ 130 Β· π 58 - 58% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/microsoft/qlib
```
-- **[PyPi](https://pypi.org/project/pyqlib)** (π₯ 1.4K / month Β· β±οΈ 12.12.2020):
+- [PyPi](https://pypi.org/project/pyqlib) (π₯ 1.5K / month Β· β±οΈ 12.12.2020):
```
pip install pyqlib
```
Crypto Signals (π₯18 Β· β 2.3K) - Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 +.. MIT
+Crypto Signals (π₯18 Β· β 2.3K) - Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis.. MIT
-- **[GitHub](https://github.com/CryptoSignal/Crypto-Signal)** (π¨βπ» 25 Β· π 640 Β· π 230 - 18% open Β· β±οΈ 03.09.2020):
+- [GitHub](https://github.com/CryptoSignal/Crypto-Signal) (π¨βπ» 25 Β· π 640 Β· π 230 - 18% open Β· β±οΈ 03.09.2020):
```
git clone https://github.com/CryptoSignal/crypto-signal
```
-- **[Dockerhub](https://hub.docker.com/r/shadowreaver/crypto-signal)** (π₯ 41K Β· β 7 Β· β±οΈ 03.09.2020):
+- [Dockerhub](https://hub.docker.com/r/shadowreaver/crypto-signal) (π₯ 41K Β· β 7 Β· β±οΈ 03.09.2020):
```
docker pull shadowreaver/crypto-signal
@@ -3551,12 +3551,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Show 6 hidden projects...
backtrader (π₯26 Β· β 5.2K) - Python Backtesting library for trading strategies. βοΈGPL-3.0
-- **[GitHub](https://github.com/mementum/backtrader)** (π¨βπ» 50 Β· π 1.6K Β· π¦ 380 Β· β±οΈ 03.07.2020):
+- [GitHub](https://github.com/mementum/backtrader) (π¨βπ» 50 Β· π 1.6K Β· π¦ 380 Β· β±οΈ 03.07.2020):
```
git clone https://github.com/mementum/backtrader
```
-- **[PyPi](https://pypi.org/project/backtrader)** (π₯ 12K / month Β· π¦ 70 Β· β±οΈ 03.07.2020):
+- [PyPi](https://pypi.org/project/backtrader) (π₯ 12K / month Β· π¦ 70 Β· β±οΈ 03.07.2020):
```
pip install backtrader
@@ -3564,12 +3564,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
arch (π₯24 Β· β 620) - ARCH models in Python. βοΈNCSA
-- **[GitHub](https://github.com/bashtage/arch)** (π¨βπ» 26 Β· π 150 Β· π¦ 220 Β· π 130 - 10% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/bashtage/arch) (π¨βπ» 25 Β· π 150 Β· π¦ 220 Β· π 130 - 10% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/bashtage/arch
```
-- **[PyPi](https://pypi.org/project/arch)** (π₯ 81K / month Β· π¦ 21 Β· β±οΈ 24.06.2020):
+- [PyPi](https://pypi.org/project/arch) (π₯ 79K / month Β· π¦ 21 Β· β±οΈ 24.06.2020):
```
pip install arch
@@ -3577,12 +3577,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
PyAlgoTrade (π₯22 Β· β 3.1K Β· π) - Python Algorithmic Trading Library. Apache-2
-- **[GitHub](https://github.com/gbeced/pyalgotrade)** (π¨βπ» 11 Β· π 1.1K Β· π¦ 65 Β· π 120 - 31% open Β· β±οΈ 21.08.2018):
+- [GitHub](https://github.com/gbeced/pyalgotrade) (π¨βπ» 11 Β· π 1.1K Β· π¦ 65 Β· π 120 - 31% open Β· β±οΈ 21.08.2018):
```
git clone https://github.com/gbeced/pyalgotrade
```
-- **[PyPi](https://pypi.org/project/pyalgotrade)** (π₯ 520 / month Β· π¦ 21 Β· β±οΈ 21.08.2018):
+- [PyPi](https://pypi.org/project/pyalgotrade) (π₯ 510 / month Β· π¦ 21 Β· β±οΈ 21.08.2018):
```
pip install pyalgotrade
@@ -3590,12 +3590,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Enigma Catalyst (π₯22 Β· β 1.9K Β· π) - An Algorithmic Trading Library for Crypto-Assets in Python. Apache-2
-- **[GitHub](https://github.com/enigmampc/catalyst)** (π¨βπ» 140 Β· π 560 Β· π¦ 19 Β· π 490 - 26% open Β· β±οΈ 11.11.2018):
+- [GitHub](https://github.com/enigmampc/catalyst) (π¨βπ» 140 Β· π 560 Β· π¦ 19 Β· π 490 - 26% open Β· β±οΈ 11.11.2018):
```
git clone https://github.com/enigmampc/catalyst
```
-- **[PyPi](https://pypi.org/project/enigma-catalyst)** (π₯ 260 / month Β· β±οΈ 11.11.2018):
+- [PyPi](https://pypi.org/project/enigma-catalyst) (π₯ 270 / month Β· β±οΈ 11.11.2018):
```
pip install enigma-catalyst
@@ -3603,12 +3603,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
FinTA (π₯22 Β· β 740) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
-- **[GitHub](https://github.com/peerchemist/finta)** (π¨βπ» 21 Β· π 280 Β· π¦ 51 Β· π 65 - 10% open Β· β±οΈ 04.11.2020):
+- [GitHub](https://github.com/peerchemist/finta) (π¨βπ» 21 Β· π 280 Β· π¦ 51 Β· π 65 - 10% open Β· β±οΈ 04.11.2020):
```
git clone https://github.com/peerchemist/finta
```
-- **[PyPi](https://pypi.org/project/finta)** (π₯ 2.8K / month Β· π¦ 2 Β· β±οΈ 21.10.2020):
+- [PyPi](https://pypi.org/project/finta) (π₯ 2.8K / month Β· π¦ 2 Β· β±οΈ 21.10.2020):
```
pip install finta
@@ -3616,12 +3616,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Backtesting.py (π₯17 Β· β 830) - Backtest trading strategies in Python. βοΈAGPL-3.0
-- **[GitHub](https://github.com/kernc/backtesting.py)** (π¨βπ» 8 Β· π 210 Β· π 180 - 11% open Β· β±οΈ 12.12.2020):
+- [GitHub](https://github.com/kernc/backtesting.py) (π¨βπ» 8 Β· π 210 Β· π 180 - 11% open Β· β±οΈ 12.12.2020):
```
git clone https://github.com/kernc/backtesting.py
```
-- **[PyPi](https://pypi.org/project/backtesting)** (π₯ 2.9K / month Β· β±οΈ 22.07.2017):
+- [PyPi](https://pypi.org/project/backtesting) (π₯ 2.8K / month Β· β±οΈ 22.07.2017):
```
pip install backtesting
@@ -3636,14 +3636,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
_Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._
-Prophet (π₯30 Β· β 12K) - Tool for producing high quality forecasts for time series data that has multiple.. MIT
+Prophet (π₯30 Β· β 12K) - Tool for producing high quality forecasts for time series data that has.. MIT
-- **[GitHub](https://github.com/facebook/prophet)** (π¨βπ» 120 Β· π 3.4K Β· π₯ 520 Β· π 1.5K - 6% open Β· β±οΈ 08.12.2020):
+- [GitHub](https://github.com/facebook/prophet) (π¨βπ» 120 Β· π 3.4K Β· π₯ 520 Β· π 1.5K - 6% open Β· β±οΈ 08.12.2020):
```
git clone https://github.com/facebook/prophet
```
-- **[PyPi](https://pypi.org/project/fbprophet)** (π₯ 720K / month Β· π¦ 150 Β· β±οΈ 05.09.2020):
+- [PyPi](https://pypi.org/project/fbprophet) (π₯ 710K / month Β· π¦ 150 Β· β±οΈ 05.09.2020):
```
pip install fbprophet
@@ -3651,12 +3651,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
tsfresh (π₯26 Β· β 5.2K) - Automatic extraction of relevant features from time series:. MIT
-- **[GitHub](https://github.com/blue-yonder/tsfresh)** (π¨βπ» 69 Β· π 810 Β· π 420 - 6% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 69 Β· π 810 Β· π 420 - 6% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/blue-yonder/tsfresh
```
-- **[PyPi](https://pypi.org/project/tsfresh)** (π₯ 160K / month Β· π¦ 33 Β· β±οΈ 09.09.2020):
+- [PyPi](https://pypi.org/project/tsfresh) (π₯ 160K / month Β· π¦ 33 Β· β±οΈ 09.09.2020):
```
pip install tsfresh
@@ -3664,12 +3664,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (π₯26 Β· β 2.7K) - A unified framework for machine learning with time series. BSD-3
-- **[GitHub](https://github.com/alan-turing-institute/sktime)** (π¨βπ» 67 Β· π 370 Β· π₯ 41 Β· π¦ 81 Β· π 270 - 32% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/alan-turing-institute/sktime) (π¨βπ» 67 Β· π 370 Β· π₯ 41 Β· π¦ 81 Β· π 270 - 32% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- **[PyPi](https://pypi.org/project/sktime)** (π₯ 7K / month Β· β±οΈ 20.10.2020):
+- [PyPi](https://pypi.org/project/sktime) (π₯ 7K / month Β· β±οΈ 20.10.2020):
```
pip install sktime
@@ -3677,17 +3677,17 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
tslearn (π₯26 Β· β 1.4K) - A machine learning toolkit dedicated to time-series data. BSD-2
-- **[GitHub](https://github.com/tslearn-team/tslearn)** (π¨βπ» 27 Β· π 210 Β· π¦ 160 Β· π 210 - 24% open Β· β±οΈ 07.12.2020):
+- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 27 Β· π 210 Β· π¦ 160 Β· π 210 - 24% open Β· β±οΈ 07.12.2020):
```
git clone https://github.com/tslearn-team/tslearn
```
-- **[PyPi](https://pypi.org/project/tslearn)** (π₯ 41K / month Β· π¦ 11 Β· β±οΈ 18.06.2020):
+- [PyPi](https://pypi.org/project/tslearn) (π₯ 40K / month Β· π¦ 11 Β· β±οΈ 18.06.2020):
```
pip install tslearn
```
-- **[Conda](https://anaconda.org/conda-forge/tslearn)**:
+- [Conda](https://anaconda.org/conda-forge/tslearn):
```
conda install -c conda-forge tslearn
@@ -3695,12 +3695,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Streamz (π₯24 Β· β 890) - Real-time stream processing for python. BSD-3
-- **[GitHub](https://github.com/python-streamz/streamz)** (π¨βπ» 38 Β· π 110 Β· π¦ 180 Β· π 210 - 41% open Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/python-streamz/streamz) (π¨βπ» 38 Β· π 110 Β· π¦ 180 Β· π 210 - 41% open Β· β±οΈ 10.12.2020):
```
git clone https://github.com/python-streamz/streamz
```
-- **[PyPi](https://pypi.org/project/streamz)** (π₯ 3.7K / month Β· π¦ 16 Β· β±οΈ 02.11.2020):
+- [PyPi](https://pypi.org/project/streamz) (π₯ 3.8K / month Β· π¦ 16 Β· β±οΈ 02.11.2020):
```
pip install streamz
@@ -3708,30 +3708,30 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
GluonTS (π₯23 Β· β 1.6K) - Probabilistic time series modeling in Python. Apache-2
-- **[GitHub](https://github.com/awslabs/gluon-ts)** (π¨βπ» 63 Β· π 340 Β· π 510 - 35% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/awslabs/gluon-ts) (π¨βπ» 63 Β· π 340 Β· π 510 - 35% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/awslabs/gluon-ts
```
-- **[PyPi](https://pypi.org/project/gluonts)** (π₯ 22K / month Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/gluonts) (π₯ 22K / month Β· β±οΈ 08.12.2020):
```
pip install gluonts
```
STUMPY (π₯22 Β· β 1.6K) - STUMPY is a powerful and scalable Python library for computing a Matrix Profile,.. BSD-3
+STUMPY (π₯22 Β· β 1.6K) - STUMPY is a powerful and scalable Python library for computing a.. BSD-3
-- **[GitHub](https://github.com/TDAmeritrade/stumpy)** (π¨βπ» 20 Β· π 150 Β· π 200 - 14% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 20 Β· π 150 Β· π 200 - 14% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/TDAmeritrade/stumpy
```
-- **[PyPi](https://pypi.org/project/stumpy)** (π₯ 9.2K / month Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/stumpy) (π₯ 9.7K / month Β· β±οΈ 10.12.2020):
```
pip install stumpy
```
-- **[Conda](https://anaconda.org/conda-forge/stumpy)**:
+- [Conda](https://anaconda.org/conda-forge/stumpy):
```
conda install -c conda-forge stumpy
@@ -3739,17 +3739,17 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Darts (π₯20 Β· β 670) - A python library for easy manipulation and forecasting of time series. Apache-2
-- **[GitHub](https://github.com/unit8co/darts)** (π¨βπ» 23 Β· π 78 Β· π¦ 9 Β· π 52 - 28% open Β· β±οΈ 09.11.2020):
+- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 23 Β· π 79 Β· π¦ 9 Β· π 52 - 26% open Β· β±οΈ 09.11.2020):
```
git clone https://github.com/unit8co/darts
```
-- **[PyPi](https://pypi.org/project/u8darts)** (π₯ 870 / month Β· β±οΈ 09.11.2020):
+- [PyPi](https://pypi.org/project/u8darts) (π₯ 880 / month Β· β±οΈ 09.11.2020):
```
pip install u8darts
```
-- **[Dockerhub](https://hub.docker.com/r/unit8/darts)** (π₯ 75 Β· β±οΈ 06.10.2020):
+- [Dockerhub](https://hub.docker.com/r/unit8/darts) (π₯ 75 Β· β±οΈ 06.10.2020):
```
docker pull unit8/darts
@@ -3757,38 +3757,38 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
seglearn (π₯19 Β· β 410) - Python module for machine learning time series:. BSD-3
-- **[GitHub](https://github.com/dmbee/seglearn)** (π¨βπ» 13 Β· π 45 Β· π¦ 6 Β· π 23 - 26% open Β· β±οΈ 08.11.2020):
+- [GitHub](https://github.com/dmbee/seglearn) (π¨βπ» 13 Β· π 45 Β· π¦ 6 Β· π 23 - 26% open Β· β±οΈ 08.11.2020):
```
git clone https://github.com/dmbee/seglearn
```
-- **[PyPi](https://pypi.org/project/seglearn)** (π₯ 3.4K / month Β· π¦ 1 Β· β±οΈ 02.04.2020):
+- [PyPi](https://pypi.org/project/seglearn) (π₯ 3.4K / month Β· π¦ 1 Β· β±οΈ 02.04.2020):
```
pip install seglearn
```
ADTK (π₯17 Β· β 560 Β· π€) - A Python toolkit for rule-based/unsupervised anomaly detection in time series. MPL-2.0
+ADTK (π₯17 Β· β 570 Β· π€) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0
-- **[GitHub](https://github.com/arundo/adtk)** (π¨βπ» 11 Β· π 70 Β· π 49 - 40% open Β· β±οΈ 17.04.2020):
+- [GitHub](https://github.com/arundo/adtk) (π¨βπ» 11 Β· π 70 Β· π 49 - 40% open Β· β±οΈ 17.04.2020):
```
git clone https://github.com/arundo/adtk
```
-- **[PyPi](https://pypi.org/project/adtk)** (π₯ 38K / month Β· β±οΈ 17.04.2020):
+- [PyPi](https://pypi.org/project/adtk) (π₯ 37K / month Β· β±οΈ 17.04.2020):
```
pip install adtk
```
tick (π₯17 Β· β 320) - Module for statistical learning, with a particular emphasis on time-dependent modelling. BSD-3
+tick (π₯17 Β· β 320) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
-- **[GitHub](https://github.com/X-DataInitiative/tick)** (π¨βπ» 16 Β· π 74 Β· π₯ 160 Β· π¦ 27 Β· π 210 - 25% open Β· β±οΈ 15.06.2020):
+- [GitHub](https://github.com/X-DataInitiative/tick) (π¨βπ» 16 Β· π 74 Β· π₯ 160 Β· π¦ 27 Β· π 210 - 25% open Β· β±οΈ 15.06.2020):
```
git clone https://github.com/X-DataInitiative/tick
```
-- **[PyPi](https://pypi.org/project/tick)** (π₯ 800 / month Β· π¦ 1 Β· β±οΈ 24.05.2020):
+- [PyPi](https://pypi.org/project/tick) (π₯ 790 / month Β· π¦ 1 Β· β±οΈ 24.05.2020):
```
pip install tick
@@ -3797,12 +3797,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Show 2 hidden projects...
PyFlux (π₯22 Β· β 1.8K Β· π) - Open source time series library for Python. BSD-3
-- **[GitHub](https://github.com/RJT1990/pyflux)** (π¨βπ» 6 Β· π 200 Β· π¦ 160 Β· π 140 - 54% open Β· β±οΈ 16.12.2018):
+- [GitHub](https://github.com/RJT1990/pyflux) (π¨βπ» 6 Β· π 200 Β· π¦ 160 Β· π 140 - 54% open Β· β±οΈ 16.12.2018):
```
git clone https://github.com/RJT1990/pyflux
```
-- **[PyPi](https://pypi.org/project/pyflux)** (π₯ 13K / month Β· π¦ 15 Β· β±οΈ 21.11.2017):
+- [PyPi](https://pypi.org/project/pyflux) (π₯ 12K / month Β· π¦ 15 Β· β±οΈ 21.11.2017):
```
pip install pyflux
@@ -3810,12 +3810,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
luminol (π₯22 Β· β 860 Β· π) - Anomaly Detection and Correlation library. Apache-2
-- **[GitHub](https://github.com/linkedin/luminol)** (π¨βπ» 8 Β· π 170 Β· π¦ 36 Β· π 36 - 66% open Β· β±οΈ 09.01.2018):
+- [GitHub](https://github.com/linkedin/luminol) (π¨βπ» 8 Β· π 170 Β· π¦ 36 Β· π 36 - 66% open Β· β±οΈ 09.01.2018):
```
git clone https://github.com/linkedin/luminol
```
-- **[PyPi](https://pypi.org/project/luminol)** (π₯ 140K / month Β· π¦ 12 Β· β±οΈ 11.12.2017):
+- [PyPi](https://pypi.org/project/luminol) (π₯ 130K / month Β· π¦ 12 Β· β±οΈ 11.12.2017):
```
pip install luminol
@@ -3830,14 +3830,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
_Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._
-MNE (π₯31 Β· β 1.5K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
+MNE (π₯31 Β· β 1.5K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in.. BSD-3
-- **[GitHub](https://github.com/mne-tools/mne-python)** (π¨βπ» 230 Β· π 830 Β· π¦ 740 Β· π 3.4K - 8% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 230 Β· π 830 Β· π¦ 740 Β· π 3.4K - 8% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/mne-tools/mne-python
```
-- **[PyPi](https://pypi.org/project/mne)** (π₯ 42K / month Β· π¦ 200 Β· β±οΈ 16.11.2020):
+- [PyPi](https://pypi.org/project/mne) (π₯ 41K / month Β· π¦ 200 Β· β±οΈ 16.11.2020):
```
pip install mne
@@ -3845,12 +3845,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Nilearn (π₯30 Β· β 690) - Machine learning for NeuroImaging in Python. BSD-3
-- **[GitHub](https://github.com/nilearn/nilearn)** (π¨βπ» 160 Β· π 370 Β· π¦ 820 Β· π 1.4K - 26% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 160 Β· π 370 Β· π¦ 820 Β· π 1.4K - 26% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/nilearn/nilearn
```
-- **[PyPi](https://pypi.org/project/nilearn)** (π₯ 14K / month Β· π¦ 300 Β· β±οΈ 12.11.2020):
+- [PyPi](https://pypi.org/project/nilearn) (π₯ 13K / month Β· π¦ 300 Β· β±οΈ 12.11.2020):
```
pip install nilearn
@@ -3858,12 +3858,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Lifelines (π₯29 Β· β 1.5K) - Survival analysis in Python. MIT
-- **[GitHub](https://github.com/CamDavidsonPilon/lifelines)** (π¨βπ» 88 Β· π 400 Β· π¦ 460 Β· π 770 - 23% open Β· β±οΈ 09.12.2020):
+- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 88 Β· π 400 Β· π¦ 460 Β· π 770 - 23% open Β· β±οΈ 09.12.2020):
```
git clone https://github.com/CamDavidsonPilon/lifelines
```
-- **[PyPi](https://pypi.org/project/lifelines)** (π₯ 110K / month Β· π¦ 130 Β· β±οΈ 09.12.2020):
+- [PyPi](https://pypi.org/project/lifelines) (π₯ 110K / month Β· π¦ 130 Β· β±οΈ 09.12.2020):
```
pip install lifelines
@@ -3871,12 +3871,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NIPYPE (π₯29 Β· β 540) - Workflows and interfaces for neuroimaging packages. Apache-2
-- **[GitHub](https://github.com/nipy/nipype)** (π¨βπ» 210 Β· π 440 Β· π¦ 460 Β· π 1.2K - 26% open Β· β±οΈ 08.12.2020):
+- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 210 Β· π 440 Β· π¦ 460 Β· π 1.2K - 26% open Β· β±οΈ 08.12.2020):
```
git clone https://github.com/nipy/nipype
```
-- **[PyPi](https://pypi.org/project/nipype)** (π₯ 14K / month Β· π¦ 190 Β· β±οΈ 16.08.2020):
+- [PyPi](https://pypi.org/project/nipype) (π₯ 14K / month Β· π¦ 190 Β· β±οΈ 16.08.2020):
```
pip install nipype
@@ -3884,30 +3884,30 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NiBabel (π₯29 Β· β 380) - Python package to access a cacophony of neuro-imaging file formats. MIT
-- **[GitHub](https://github.com/nipy/nibabel)** (π¨βπ» 89 Β· π 210 Β· π¦ 3.3K Β· π 390 - 28% open Β· β±οΈ 03.12.2020):
+- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 89 Β· π 210 Β· π¦ 3.3K Β· π 390 - 28% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/nipy/nibabel
```
-- **[PyPi](https://pypi.org/project/nibabel)** (π₯ 55K / month Β· π¦ 1.3K Β· β±οΈ 28.11.2020):
+- [PyPi](https://pypi.org/project/nibabel) (π₯ 54K / month Β· π¦ 1.3K Β· β±οΈ 28.11.2020):
```
pip install nibabel
```
DIPY (π₯27 Β· β 370) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for.. BSD-3
+DIPY (π₯27 Β· β 370) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3
-- **[GitHub](https://github.com/dipy/dipy)** (π¨βπ» 120 Β· π 310 Β· π¦ 310 Β· π 730 - 21% open Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/dipy/dipy) (π¨βπ» 120 Β· π 310 Β· π¦ 310 Β· π 730 - 21% open Β· β±οΈ 10.12.2020):
```
git clone https://github.com/dipy/dipy
```
-- **[PyPi](https://pypi.org/project/dipy)** (π₯ 7.6K / month Β· π¦ 94 Β· β±οΈ 05.11.2020):
+- [PyPi](https://pypi.org/project/dipy) (π₯ 7.5K / month Β· π¦ 94 Β· β±οΈ 05.11.2020):
```
pip install dipy
```
-- **[Conda](https://anaconda.org/conda-forge/dipy)**:
+- [Conda](https://anaconda.org/conda-forge/dipy):
```
conda install -c conda-forge dipy
@@ -3915,12 +3915,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (π₯24 Β· β 690) - Scalable genomic data analysis. MIT
-- **[GitHub](https://github.com/hail-is/hail)** (π¨βπ» 67 Β· π 180 Β· π¦ 24 Β· π 2.3K - 14% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 67 Β· π 180 Β· π¦ 26 Β· π 2.3K - 14% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/hail-is/hail
```
-- **[PyPi](https://pypi.org/project/hail)** (π₯ 1.5K / month Β· β±οΈ 03.12.2020):
+- [PyPi](https://pypi.org/project/hail) (π₯ 1.6K / month Β· β±οΈ 03.12.2020):
```
pip install hail
@@ -3928,38 +3928,38 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MONAI (π₯22 Β· β 1.6K) - AI Toolkit for Healthcare Imaging. Apache-2
-- **[GitHub](https://github.com/Project-MONAI/MONAI)** (π¨βπ» 48 Β· π 280 Β· π 640 - 12% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 48 Β· π 280 Β· π 640 - 12% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/Project-MONAI/MONAI
```
-- **[PyPi](https://pypi.org/project/monai)** (π₯ 4.4K / month Β· β±οΈ 15.12.2020):
+- [PyPi](https://pypi.org/project/monai) (π₯ 4.3K / month Β· β±οΈ 15.12.2020):
```
pip install monai
```
NiftyNet (π₯22 Β· β 1.3K Β· π€) - [unmaintained] An open-source convolutional neural networks platform.. Apache-2
+NiftyNet (π₯22 Β· β 1.3K Β· π€) - [unmaintained] An open-source convolutional neural.. Apache-2
-- **[GitHub](https://github.com/NifTK/NiftyNet)** (π¨βπ» 58 Β· π 370 Β· π¦ 33 Β· π 320 - 30% open Β· β±οΈ 21.04.2020):
+- [GitHub](https://github.com/NifTK/NiftyNet) (π¨βπ» 58 Β· π 370 Β· π¦ 33 Β· π 320 - 30% open Β· β±οΈ 21.04.2020):
```
git clone https://github.com/NifTK/NiftyNet
```
-- **[PyPi](https://pypi.org/project/niftynet)** (π₯ 310 / month Β· β±οΈ 10.10.2019):
+- [PyPi](https://pypi.org/project/niftynet) (π₯ 300 / month Β· β±οΈ 10.10.2019):
```
pip install niftynet
```
DeepVariant (π₯20 Β· β 2.1K) - DeepVariant is an analysis pipeline that uses a deep neural network to call.. BSD-3
+DeepVariant (π₯20 Β· β 2.1K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
-- **[GitHub](https://github.com/google/deepvariant)** (π¨βπ» 19 Β· π 520 Β· π₯ 2.9K Β· π 360 - 0% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 19 Β· π 520 Β· π₯ 2.9K Β· π 360 - 0% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/google/deepvariant
```
-- **[Conda](https://anaconda.org/bioconda/deepvariant)**:
+- [Conda](https://anaconda.org/bioconda/deepvariant):
```
conda install -c bioconda deepvariant
@@ -3967,17 +3967,17 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Brainiak (π₯19 Β· β 230) - Brain Imaging Analysis Kit. Apache-2
-- **[GitHub](https://github.com/brainiak/brainiak)** (π¨βπ» 32 Β· π 100 Β· π¦ 11 Β· π 180 - 34% open Β· β±οΈ 15.10.2020):
+- [GitHub](https://github.com/brainiak/brainiak) (π¨βπ» 32 Β· π 100 Β· π¦ 11 Β· π 180 - 34% open Β· β±οΈ 15.10.2020):
```
git clone https://github.com/brainiak/brainiak
```
-- **[PyPi](https://pypi.org/project/brainiak)** (π₯ 140 / month Β· π¦ 1 Β· β±οΈ 15.10.2020):
+- [PyPi](https://pypi.org/project/brainiak) (π₯ 140 / month Β· π¦ 1 Β· β±οΈ 15.10.2020):
```
pip install brainiak
```
-- **[Dockerhub](https://hub.docker.com/r/brainiak/brainiak)** (π₯ 450 Β· β 1 Β· β±οΈ 15.10.2020):
+- [Dockerhub](https://hub.docker.com/r/brainiak/brainiak) (π₯ 450 Β· β 1 Β· β±οΈ 15.10.2020):
```
docker pull brainiak/brainiak
@@ -3985,15 +3985,15 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Medical Detection Toolkit (π₯13 Β· β 870 Β· π€) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2
-- **[GitHub](https://github.com/MIC-DKFZ/medicaldetectiontoolkit)** (π¨βπ» 3 Β· π 230 Β· π 110 - 24% open Β· β±οΈ 18.04.2020):
+- [GitHub](https://github.com/MIC-DKFZ/medicaldetectiontoolkit) (π¨βπ» 3 Β· π 230 Β· π 110 - 24% open Β· β±οΈ 18.04.2020):
```
git clone https://github.com/MIC-DKFZ/medicaldetectiontoolkit
```
MedicalNet (π₯11 Β· β 1K) - Many studies have shown that the performance on deep learning is significantly.. MIT
+MedicalNet (π₯11 Β· β 1K) - Many studies have shown that the performance on deep learning is.. MIT
-- **[GitHub](https://github.com/Tencent/MedicalNet)** (π¨βπ» 1 Β· π 260 Β· π 54 - 74% open Β· β±οΈ 27.08.2020):
+- [GitHub](https://github.com/Tencent/MedicalNet) (π¨βπ» 1 Β· π 260 Β· π 54 - 74% open Β· β±οΈ 27.08.2020):
```
git clone https://github.com/Tencent/MedicalNet
@@ -4002,12 +4002,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 6 hidden projects...
NIPY (π₯21 Β· β 290) - Neuroimaging in Python FMRI analysis package. βοΈDSDP
-- **[GitHub](https://github.com/nipy/nipy)** (π¨βπ» 63 Β· π 120 Β· π 140 - 26% open Β· β±οΈ 14.10.2020):
+- [GitHub](https://github.com/nipy/nipy) (π¨βπ» 63 Β· π 120 Β· π 140 - 26% open Β· β±οΈ 14.10.2020):
```
git clone https://github.com/nipy/nipy
```
-- **[PyPi](https://pypi.org/project/nipy)** (π₯ 1.3K / month Β· π¦ 29 Β· β±οΈ 19.02.2018):
+- [PyPi](https://pypi.org/project/nipy) (π₯ 1.3K / month Β· π¦ 29 Β· β±οΈ 19.02.2018):
```
pip install nipy
@@ -4015,12 +4015,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MedPy (π₯20 Β· β 310 Β· π€) - Medical image processing in Python. βοΈGPL-3.0
-- **[GitHub](https://github.com/loli/medpy)** (π¨βπ» 13 Β· π 100 Β· π¦ 200 Β· π 73 - 10% open Β· β±οΈ 01.05.2020):
+- [GitHub](https://github.com/loli/medpy) (π¨βπ» 13 Β· π 100 Β· π¦ 200 Β· π 73 - 10% open Β· β±οΈ 01.05.2020):
```
git clone https://github.com/loli/medpy
```
-- **[PyPi](https://pypi.org/project/MedPy)** (π₯ 3.2K / month Β· π¦ 7 Β· β±οΈ 14.02.2019):
+- [PyPi](https://pypi.org/project/MedPy) (π₯ 3.2K / month Β· π¦ 7 Β· β±οΈ 14.02.2019):
```
pip install MedPy
@@ -4028,12 +4028,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
DLTK (π₯19 Β· β 1.2K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2
-- **[GitHub](https://github.com/DLTK/DLTK)** (π¨βπ» 9 Β· π 380 Β· π¦ 17 Β· π 31 - 22% open Β· β±οΈ 21.01.2019):
+- [GitHub](https://github.com/DLTK/DLTK) (π¨βπ» 9 Β· π 380 Β· π¦ 17 Β· π 31 - 22% open Β· β±οΈ 21.01.2019):
```
git clone https://github.com/DLTK/DLTK
```
-- **[PyPi](https://pypi.org/project/dltk)** (π₯ 110 / month Β· β±οΈ 26.02.2018):
+- [PyPi](https://pypi.org/project/dltk) (π₯ 110 / month Β· β±οΈ 26.02.2018):
```
pip install dltk
@@ -4041,12 +4041,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Glow (π₯18 Β· β 140) - An open-source toolkit for large-scale genomic analysis. Apache-2
-- **[GitHub](https://github.com/projectglow/glow)** (π¨βπ» 11 Β· π 41 Β· π 63 - 34% open Β· β±οΈ 02.12.2020):
+- [GitHub](https://github.com/projectglow/glow) (π¨βπ» 11 Β· π 41 Β· π 63 - 34% open Β· β±οΈ 02.12.2020):
```
git clone https://github.com/projectglow/glow
```
-- **[PyPi](https://pypi.org/project/glow.py)** (π₯ 1.2K / month Β· β±οΈ 10.09.2020):
+- [PyPi](https://pypi.org/project/glow.py) (π₯ 1.3K / month Β· β±οΈ 10.09.2020):
```
pip install glow.py
@@ -4054,12 +4054,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MedicalTorch (π₯14 Β· β 700 Β· π) - A medical imaging framework for Pytorch. Apache-2
-- **[GitHub](https://github.com/perone/medicaltorch)** (π¨βπ» 7 Β· π 110 Β· π¦ 9 Β· π 23 - 60% open Β· β±οΈ 15.08.2019):
+- [GitHub](https://github.com/perone/medicaltorch) (π¨βπ» 7 Β· π 110 Β· π¦ 9 Β· π 23 - 60% open Β· β±οΈ 15.08.2019):
```
git clone https://github.com/perone/medicaltorch
```
-- **[PyPi](https://pypi.org/project/medicaltorch)** (π₯ 68 / month Β· β±οΈ 24.11.2018):
+- [PyPi](https://pypi.org/project/medicaltorch) (π₯ 69 / month Β· β±οΈ 24.11.2018):
```
pip install medicaltorch
@@ -4067,12 +4067,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
DeepNeuro (π₯14 Β· β 95) - A deep learning python package for neuroimaging data. Made by:. MIT
-- **[GitHub](https://github.com/QTIM-Lab/DeepNeuro)** (π¨βπ» 6 Β· π 28 Β· π¦ 1 Β· π 41 - 60% open Β· β±οΈ 24.06.2020):
+- [GitHub](https://github.com/QTIM-Lab/DeepNeuro) (π¨βπ» 6 Β· π 28 Β· π¦ 1 Β· π 41 - 60% open Β· β±οΈ 24.06.2020):
```
git clone https://github.com/QTIM-Lab/DeepNeuro
```
-- **[PyPi](https://pypi.org/project/deepneuro)** (π₯ 48 / month Β· β±οΈ 11.04.2019):
+- [PyPi](https://pypi.org/project/deepneuro) (π₯ 50 / month Β· β±οΈ 11.04.2019):
```
pip install deepneuro
@@ -4087,45 +4087,45 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
_Libraries for optical character recognition (OCR) and text extraction from images or videos._
-Tesseract (π₯30 Β· β 3.3K) - Python-tesseract is an optical character recognition (OCR) tool for python. Apache-2
+Tesseract (π₯30 Β· β 3.3K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
-- **[GitHub](https://github.com/madmaze/pytesseract)** (π¨βπ» 34 Β· π 500 Β· π¦ 7.8K Β· π 240 - 2% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 34 Β· π 500 Β· π¦ 7.8K Β· π 240 - 2% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/madmaze/pytesseract
```
-- **[PyPi](https://pypi.org/project/pytesseract)** (π₯ 320K / month Β· π¦ 1.4K Β· β±οΈ 15.12.2020):
+- [PyPi](https://pypi.org/project/pytesseract) (π₯ 310K / month Β· π¦ 1.4K Β· β±οΈ 15.12.2020):
```
pip install pytesseract
```
-- **[Conda](https://anaconda.org/conda-forge/pytesseract)**:
+- [Conda](https://anaconda.org/conda-forge/pytesseract):
```
conda install -c conda-forge pytesseract
```
OCRmyPDF (π₯27 Β· β 3.5K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be.. MPL-2.0
+OCRmyPDF (π₯27 Β· β 3.5K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing.. MPL-2.0
-- **[GitHub](https://github.com/jbarlow83/OCRmyPDF)** (π¨βπ» 47 Β· π 410 Β· π¦ 95 Β· π 630 - 14% open Β· β±οΈ 13.12.2020):
+- [GitHub](https://github.com/jbarlow83/OCRmyPDF) (π¨βπ» 47 Β· π 410 Β· π¦ 96 Β· π 630 - 14% open Β· β±οΈ 13.12.2020):
```
git clone https://github.com/jbarlow83/OCRmyPDF
```
-- **[PyPi](https://pypi.org/project/ocrmypdf)** (π₯ 12K / month Β· π¦ 12 Β· β±οΈ 12.12.2020):
+- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 12K / month Β· π¦ 12 Β· β±οΈ 12.12.2020):
```
pip install ocrmypdf
```
EasyOCR (π₯26 Β· β 9.5K) - Ready-to-use OCR with 80+ supported languages and all popular writing scripts.. Apache-2
+EasyOCR (π₯26 Β· β 9.5K) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2
-- **[GitHub](https://github.com/JaidedAI/EasyOCR)** (π¨βπ» 70 Β· π 880 Β· π₯ 70K Β· π¦ 89 Β· π 220 - 32% open Β· β±οΈ 03.12.2020):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 70 Β· π 880 Β· π₯ 71K Β· π¦ 89 Β· π 220 - 32% open Β· β±οΈ 03.12.2020):
```
git clone https://github.com/JaidedAI/EasyOCR
```
-- **[PyPi](https://pypi.org/project/easyocr)** (π₯ 7.6K / month Β· β±οΈ 21.11.2020):
+- [PyPi](https://pypi.org/project/easyocr) (π₯ 7.6K / month Β· β±οΈ 21.11.2020):
```
pip install easyocr
@@ -4133,69 +4133,69 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
tesserocr (π₯26 Β· β 1.4K) - A Python wrapper for the tesseract-ocr API. MIT
-- **[GitHub](https://github.com/sirfz/tesserocr)** (π¨βπ» 23 Β· π 180 Β· π¦ 430 Β· π 200 - 29% open Β· β±οΈ 17.11.2020):
+- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 23 Β· π 180 Β· π¦ 430 Β· π 200 - 29% open Β· β±οΈ 17.11.2020):
```
git clone https://github.com/sirfz/tesserocr
```
-- **[PyPi](https://pypi.org/project/tesserocr)** (π₯ 45K / month Β· π¦ 50 Β· β±οΈ 17.03.2020):
+- [PyPi](https://pypi.org/project/tesserocr) (π₯ 46K / month Β· π¦ 50 Β· β±οΈ 17.03.2020):
```
pip install tesserocr
```
-- **[Conda](https://anaconda.org/conda-forge/tesserocr)**:
+- [Conda](https://anaconda.org/conda-forge/tesserocr):
```
conda install -c conda-forge tesserocr
```
PaddleOCR (π₯22 Β· β 7.2K) - Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra.. Apache-2
+PaddleOCR (π₯22 Β· β 7.4K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- **[GitHub](https://github.com/PaddlePaddle/PaddleOCR)** (π¨βπ» 41 Β· π 1.4K Β· π¦ 9 Β· π 940 - 24% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 41 Β· π 1.4K Β· π¦ 9 Β· π 940 - 24% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- **[PyPi](https://pypi.org/project/paddleocr)** (π₯ 1.2K / month Β· β±οΈ 27.11.2020):
+- [PyPi](https://pypi.org/project/paddleocr) (π₯ 1.2K / month Β· β±οΈ 16.12.2020):
```
pip install paddleocr
```
attention-ocr (π₯22 Β· β 820) - A Tensorflow model for text recognition (CNN + seq2seq with visual.. MIT
+attention-ocr (π₯22 Β· β 820) - A Tensorflow model for text recognition (CNN + seq2seq with.. MIT
-- **[GitHub](https://github.com/emedvedev/attention-ocr)** (π¨βπ» 27 Β· π 220 Β· π¦ 15 Β· π 140 - 11% open Β· β±οΈ 31.10.2020):
+- [GitHub](https://github.com/emedvedev/attention-ocr) (π¨βπ» 27 Β· π 220 Β· π¦ 15 Β· π 140 - 11% open Β· β±οΈ 31.10.2020):
```
git clone https://github.com/emedvedev/attention-ocr
```
-- **[PyPi](https://pypi.org/project/aocr)** (π₯ 220 / month Β· β±οΈ 19.04.2019):
+- [PyPi](https://pypi.org/project/aocr) (π₯ 210 / month Β· β±οΈ 19.04.2019):
```
pip install aocr
```
keras-ocr (π₯20 Β· β 720) - A packaged and flexible version of the CRAFT text detector and Keras CRNN.. MIT
+keras-ocr (π₯20 Β· β 720) - A packaged and flexible version of the CRAFT text detector and Keras.. MIT
-- **[GitHub](https://github.com/faustomorales/keras-ocr)** (π¨βπ» 9 Β· π 160 Β· π₯ 9.7K Β· π 120 - 21% open Β· β±οΈ 26.11.2020):
+- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 9 Β· π 160 Β· π₯ 9.8K Β· π 120 - 21% open Β· β±οΈ 26.11.2020):
```
git clone https://github.com/faustomorales/keras-ocr
```
-- **[PyPi](https://pypi.org/project/keras-ocr)** (π₯ 2K / month Β· π¦ 1 Β· β±οΈ 26.11.2020):
+- [PyPi](https://pypi.org/project/keras-ocr) (π₯ 2K / month Β· π¦ 1 Β· β±οΈ 26.11.2020):
```
pip install keras-ocr
```
doc2text (π₯19 Β· β 1.2K) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via.. MIT
+doc2text (π₯19 Β· β 1.2K) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python module.. MIT
-- **[GitHub](https://github.com/jlsutherland/doc2text)** (π¨βπ» 5 Β· π 91 Β· π¦ 31 Β· π 21 - 57% open Β· β±οΈ 01.12.2020):
+- [GitHub](https://github.com/jlsutherland/doc2text) (π¨βπ» 5 Β· π 91 Β· π¦ 31 Β· π 21 - 57% open Β· β±οΈ 01.12.2020):
```
git clone https://github.com/jlsutherland/doc2text
```
-- **[PyPi](https://pypi.org/project/doc2text)** (π₯ 280 / month Β· β±οΈ 06.09.2016):
+- [PyPi](https://pypi.org/project/doc2text) (π₯ 280 / month Β· β±οΈ 06.09.2016):
```
pip install doc2text
@@ -4203,12 +4203,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
calamari (π₯18 Β· β 740) - Line based ATR Engine based on OCRopy. Apache-2
-- **[GitHub](https://github.com/Calamari-OCR/calamari)** (π¨βπ» 17 Β· π 160 Β· π 150 - 12% open Β· β±οΈ 07.11.2020):
+- [GitHub](https://github.com/Calamari-OCR/calamari) (π¨βπ» 17 Β· π 160 Β· π 150 - 13% open Β· β±οΈ 07.11.2020):
```
git clone https://github.com/Calamari-OCR/calamari
```
-- **[PyPi](https://pypi.org/project/calamari_ocr)** (π₯ 650 / month Β· π¦ 2 Β· β±οΈ 13.11.2018):
+- [PyPi](https://pypi.org/project/calamari_ocr) (π₯ 640 / month Β· π¦ 2 Β· β±οΈ 13.11.2018):
```
pip install calamari_ocr
@@ -4222,19 +4222,19 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
_General-purpose data containers & structures as well as utilities & extensions for pandas._
-pandas (π₯43 Β· β 28K) - Flexible and powerful data analysis / manipulation library for Python, providing.. BSD-3
+pandas (π₯43 Β· β 28K) - Flexible and powerful data analysis / manipulation library for.. BSD-3
-- **[GitHub](https://github.com/pandas-dev/pandas)** (π¨βπ» 2.5K Β· π 12K Β· π₯ 56K Β· π¦ 350K Β· π 20K - 18% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/pandas-dev/pandas) (π¨βπ» 2.5K Β· π 12K Β· π₯ 56K Β· π¦ 350K Β· π 20K - 18% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/pandas-dev/pandas
```
-- **[PyPi](https://pypi.org/project/pandas)** (π₯ 25M / month Β· π¦ 77K Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/pandas) (π₯ 25M / month Β· π¦ 77K Β· β±οΈ 08.12.2020):
```
pip install pandas
```
-- **[Conda](https://anaconda.org/anaconda/pandas)** (β±οΈ 31.10.2020):
+- [Conda](https://anaconda.org/anaconda/pandas) (β±οΈ 31.10.2020):
```
conda install -c anaconda pandas
@@ -4242,43 +4242,43 @@ _General-purpose data containers & structures as well as utilities & extensions
numpy (π₯42 Β· β 16K) - The fundamental package for scientific computing with Python. BSD-3
-- **[GitHub](https://github.com/numpy/numpy)** (π¨βπ» 1.2K Β· π 5.1K Β· π₯ 280K Β· π¦ 570K Β· π 9.4K - 23% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/numpy/numpy) (π¨βπ» 1.2K Β· π 5.1K Β· π₯ 290K Β· π¦ 570K Β· π 9.4K - 23% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/numpy/numpy
```
-- **[PyPi](https://pypi.org/project/numpy)** (π₯ 40M / month Β· π¦ 170K Β· β±οΈ 03.12.2020):
+- [PyPi](https://pypi.org/project/numpy) (π₯ 40M / month Β· π¦ 170K Β· β±οΈ 03.12.2020):
```
pip install numpy
```
-- **[Conda](https://anaconda.org/anaconda/numpy)** (β±οΈ 05.11.2020):
+- [Conda](https://anaconda.org/anaconda/numpy) (β±οΈ 05.11.2020):
```
conda install -c anaconda numpy
```
h5py (π₯36 Β· β 1.5K) - HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data.. BSD-3
+h5py (π₯36 Β· β 1.5K) - HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5.. BSD-3
-- **[GitHub](https://github.com/h5py/h5py)** (π¨βπ» 160 Β· π 390 Β· π₯ 740 Β· π¦ 94K Β· π 1.1K - 16% open Β· β±οΈ 01.12.2020):
+- [GitHub](https://github.com/h5py/h5py) (π¨βπ» 160 Β· π 390 Β· π₯ 740 Β· π¦ 95K Β· π 1.1K - 16% open Β· β±οΈ 01.12.2020):
```
git clone https://github.com/h5py/h5py
```
-- **[PyPi](https://pypi.org/project/h5py)** (π₯ 5.6M / month Β· π¦ 23K Β· β±οΈ 06.11.2020):
+- [PyPi](https://pypi.org/project/h5py) (π₯ 5.6M / month Β· π¦ 23K Β· β±οΈ 06.11.2020):
```
pip install h5py
```
Arrow (π₯35 Β· β 6.7K) - Apache Arrow is a cross-language development platform for in-memory data. It.. Apache-2
+Arrow (π₯35 Β· β 6.7K) - Apache Arrow is a cross-language development platform for in-memory.. Apache-2
-- **[GitHub](https://github.com/apache/arrow)** (π¨βπ» 600 Β· π 1.7K Β· π¦ 26 Β· π 650 - 17% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/apache/arrow) (π¨βπ» 600 Β· π 1.7K Β· π¦ 26 Β· π 650 - 17% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/apache/arrow
```
-- **[PyPi](https://pypi.org/project/pyarrow)** (π₯ 9.2M / month Β· π¦ 990 Β· β±οΈ 19.10.2020):
+- [PyPi](https://pypi.org/project/pyarrow) (π₯ 9M / month Β· π¦ 990 Β· β±οΈ 19.10.2020):
```
pip install pyarrow
@@ -4286,38 +4286,38 @@ _General-purpose data containers & structures as well as utilities & extensions
xarray (π₯32 Β· β 1.9K) - N-D labeled arrays and datasets in Python. Apache-2
-- **[GitHub](https://github.com/pydata/xarray)** (π¨βπ» 280 Β· π 610 Β· π¦ 4.6K Β· π 2.6K - 29% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/pydata/xarray) (π¨βπ» 280 Β· π 610 Β· π¦ 4.6K Β· π 2.6K - 29% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/pydata/xarray
```
-- **[PyPi](https://pypi.org/project/xarray)** (π₯ 300K / month Β· π¦ 1.1K Β· β±οΈ 30.11.2020):
+- [PyPi](https://pypi.org/project/xarray) (π₯ 300K / month Β· π¦ 1.1K Β· β±οΈ 30.11.2020):
```
pip install xarray
```
numexpr (π₯30 Β· β 1.5K) - Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz.. MIT
+numexpr (π₯30 Β· β 1.5K) - Fast numerical array expression evaluator for Python, NumPy, PyTables,.. MIT
-- **[GitHub](https://github.com/pydata/numexpr)** (π¨βπ» 51 Β· π 160 Β· π 300 - 17% open Β· β±οΈ 24.09.2020):
+- [GitHub](https://github.com/pydata/numexpr) (π¨βπ» 51 Β· π 160 Β· π 300 - 17% open Β· β±οΈ 24.09.2020):
```
git clone https://github.com/pydata/numexpr
```
-- **[PyPi](https://pypi.org/project/numexpr)** (π₯ 930K / month Β· π¦ 5.5K Β· β±οΈ 05.01.2020):
+- [PyPi](https://pypi.org/project/numexpr) (π₯ 920K / month Β· π¦ 5.5K Β· β±οΈ 05.01.2020):
```
pip install numexpr
```
TinyDB (π₯29 Β· β 3.9K) - TinyDB is a lightweight document oriented database optimized for your happiness :). MIT
+TinyDB (π₯29 Β· β 3.9K) - TinyDB is a lightweight document oriented database optimized for your.. MIT
-- **[GitHub](https://github.com/msiemens/tinydb)** (π¨βπ» 61 Β· π 350 Β· π 240 - 5% open Β· β±οΈ 05.12.2020):
+- [GitHub](https://github.com/msiemens/tinydb) (π¨βπ» 61 Β· π 350 Β· π 240 - 5% open Β· β±οΈ 05.12.2020):
```
git clone https://github.com/msiemens/tinydb
```
-- **[PyPi](https://pypi.org/project/tinydb)** (π₯ 140K / month Β· π¦ 1.1K Β· β±οΈ 14.11.2020):
+- [PyPi](https://pypi.org/project/tinydb) (π₯ 140K / month Β· π¦ 1.1K Β· β±οΈ 14.11.2020):
```
pip install tinydb
@@ -4325,17 +4325,17 @@ _General-purpose data containers & structures as well as utilities & extensions
Koalas (π₯29 Β· β 2.5K) - Koalas: pandas API on Apache Spark. Apache-2
-- **[GitHub](https://github.com/databricks/koalas)** (π¨βπ» 47 Β· π 290 Β· π₯ 1K Β· π¦ 66 Β· π 500 - 16% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/databricks/koalas) (π¨βπ» 47 Β· π 290 Β· π₯ 1K Β· π¦ 66 Β· π 500 - 16% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/databricks/koalas
```
-- **[PyPi](https://pypi.org/project/koalas)** (π₯ 920K / month Β· π¦ 1 Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/koalas) (π₯ 910K / month Β· π¦ 1 Β· β±οΈ 11.12.2020):
```
pip install koalas
```
-- **[Conda](https://anaconda.org/conda-forge/koalas)**:
+- [Conda](https://anaconda.org/conda-forge/koalas):
```
conda install -c conda-forge koalas
@@ -4343,25 +4343,25 @@ _General-purpose data containers & structures as well as utilities & extensions
PyTables (π₯29 Β· β 990) - A Python package to manage extremely large amounts of data. BSD-2
-- **[GitHub](https://github.com/PyTables/PyTables)** (π¨βπ» 95 Β· π 180 Β· π₯ 120 Β· π 590 - 25% open Β· β±οΈ 13.12.2020):
+- [GitHub](https://github.com/PyTables/PyTables) (π¨βπ» 95 Β· π 180 Β· π₯ 120 Β· π 590 - 25% open Β· β±οΈ 13.12.2020):
```
git clone https://github.com/PyTables/PyTables
```
-- **[PyPi](https://pypi.org/project/tables)** (π₯ 720K / month Β· π¦ 3.8K Β· β±οΈ 30.10.2019):
+- [PyPi](https://pypi.org/project/tables) (π₯ 690K / month Β· π¦ 3.8K Β· β±οΈ 30.10.2019):
```
pip install tables
```
Modin (π₯28 Β· β 5.5K) - Modin: Speed up your Pandas workflows by changing a single line of code. Apache-2
+Modin (π₯28 Β· β 5.5K) - Modin: Speed up your Pandas workflows by changing a single line.. Apache-2
-- **[GitHub](https://github.com/modin-project/modin)** (π¨βπ» 63 Β· π 370 Β· π₯ 200K Β· π¦ 260 Β· π 1.4K - 27% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/modin-project/modin) (π¨βπ» 63 Β· π 370 Β· π₯ 200K Β· π¦ 270 Β· π 1.4K - 27% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/modin-project/modin
```
-- **[PyPi](https://pypi.org/project/modin)** (π₯ 43K / month Β· π¦ 9 Β· β±οΈ 10.11.2020):
+- [PyPi](https://pypi.org/project/modin) (π₯ 43K / month Β· π¦ 9 Β· β±οΈ 10.11.2020):
```
pip install modin
@@ -4369,25 +4369,25 @@ _General-purpose data containers & structures as well as utilities & extensions
Bottleneck (π₯28 Β· β 560) - Fast NumPy array functions written in C. BSD-2
-- **[GitHub](https://github.com/pydata/bottleneck)** (π¨βπ» 20 Β· π 60 Β· π¦ 17K Β· π 200 - 11% open Β· β±οΈ 25.11.2020):
+- [GitHub](https://github.com/pydata/bottleneck) (π¨βπ» 20 Β· π 60 Β· π¦ 17K Β· π 200 - 11% open Β· β±οΈ 25.11.2020):
```
git clone https://github.com/pydata/bottleneck
```
-- **[PyPi](https://pypi.org/project/Bottleneck)** (π₯ 200K / month Β· π¦ 2.9K Β· β±οΈ 21.02.2020):
+- [PyPi](https://pypi.org/project/Bottleneck) (π₯ 200K / month Β· π¦ 2.9K Β· β±οΈ 21.02.2020):
```
pip install Bottleneck
```
datasketch (π₯26 Β· β 1.4K) - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH.. MIT
+datasketch (π₯27 Β· β 1.4K) - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog,.. MIT
-- **[GitHub](https://github.com/ekzhu/datasketch)** (π¨βπ» 15 Β· π 200 Β· π₯ 16 Β· π¦ 240 Β· π 100 - 16% open Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/ekzhu/datasketch) (π¨βπ» 15 Β· π 200 Β· π₯ 16 Β· π¦ 240 Β· π 110 - 17% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/ekzhu/datasketch
```
-- **[PyPi](https://pypi.org/project/datasketch)** (π₯ 220K / month Β· π¦ 86 Β· β±οΈ 12.03.2020):
+- [PyPi](https://pypi.org/project/datasketch) (π₯ 210K / month Β· π¦ 86 Β· β±οΈ 15.12.2020):
```
pip install datasketch
@@ -4395,92 +4395,92 @@ _General-purpose data containers & structures as well as utilities & extensions
zarr (π₯26 Β· β 600) - An implementation of chunked, compressed, N-dimensional arrays for Python. MIT
-- **[GitHub](https://github.com/zarr-developers/zarr-python)** (π¨βπ» 35 Β· π 100 Β· π¦ 490 Β· π 400 - 43% open Β· β±οΈ 03.12.2020):
+- [GitHub](https://github.com/zarr-developers/zarr-python) (π¨βπ» 35 Β· π 100 Β· π¦ 490 Β· π 400 - 43% open Β· β±οΈ 03.12.2020):
```
git clone https://github.com/zarr-developers/zarr-python
```
-- **[PyPi](https://pypi.org/project/zarr)** (π₯ 23K / month Β· π¦ 72 Β· β±οΈ 02.12.2020):
+- [PyPi](https://pypi.org/project/zarr) (π₯ 22K / month Β· π¦ 72 Β· β±οΈ 02.12.2020):
```
pip install zarr
```
-- **[Conda](https://anaconda.org/anaconda/zarr)** (β±οΈ 08.10.2020):
+- [Conda](https://anaconda.org/anaconda/zarr) (β±οΈ 08.10.2020):
```
conda install -c anaconda zarr
```
swifter (π₯25 Β· β 1.5K) - A package which efficiently applies any function to a pandas dataframe or series.. MIT
+swifter (π₯25 Β· β 1.5K) - A package which efficiently applies any function to a pandas.. MIT
-- **[GitHub](https://github.com/jmcarpenter2/swifter)** (π¨βπ» 14 Β· π 69 Β· π¦ 260 Β· π 89 - 14% open Β· β±οΈ 11.10.2020):
+- [GitHub](https://github.com/jmcarpenter2/swifter) (π¨βπ» 14 Β· π 69 Β· π¦ 260 Β· π 89 - 14% open Β· β±οΈ 11.10.2020):
```
git clone https://github.com/jmcarpenter2/swifter
```
-- **[PyPi](https://pypi.org/project/swifter)** (π₯ 49K / month Β· π¦ 16 Β· β±οΈ 11.10.2020):
+- [PyPi](https://pypi.org/project/swifter) (π₯ 50K / month Β· π¦ 16 Β· β±οΈ 11.10.2020):
```
pip install swifter
```
PandaralΒ·lel (π₯23 Β· β 1.3K) - A simple and efficient tool to parallelize Pandas operations on all.. BSD-3
+PandaralΒ·lel (π₯23 Β· β 1.3K) - A simple and efficient tool to parallelize Pandas.. BSD-3
-- **[GitHub](https://github.com/nalepae/pandarallel)** (π¨βπ» 12 Β· π 86 Β· π¦ 130 Β· π 110 - 51% open Β· β±οΈ 13.12.2020):
+- [GitHub](https://github.com/nalepae/pandarallel) (π¨βπ» 12 Β· π 87 Β· π¦ 130 Β· π 110 - 51% open Β· β±οΈ 13.12.2020):
```
git clone https://github.com/nalepae/pandarallel
```
-- **[PyPi](https://pypi.org/project/pandarallel)** (π₯ 48K / month Β· β±οΈ 25.08.2020):
+- [PyPi](https://pypi.org/project/pandarallel) (π₯ 47K / month Β· β±οΈ 25.08.2020):
```
pip install pandarallel
```
Vaex (π₯22 Β· β 5.5K) - Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a.. MIT
+Vaex (π₯22 Β· β 5.5K) - Out-of-Core DataFrames for Python, ML, visualize and explore big tabular.. MIT
-- **[GitHub](https://github.com/vaexio/vaex)** (π¨βπ» 35 Β· π 420 Β· π₯ 200 Β· π 640 - 41% open Β· β±οΈ 09.12.2020):
+- [GitHub](https://github.com/vaexio/vaex) (π¨βπ» 35 Β· π 420 Β· π₯ 200 Β· π 640 - 41% open Β· β±οΈ 09.12.2020):
```
git clone https://github.com/vaexio/vaex
```
-- **[PyPi](https://pypi.org/project/vaex)** (π₯ 4.8K / month Β· π¦ 2 Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/vaex) (π₯ 4.8K / month Β· π¦ 2 Β· β±οΈ 08.12.2020):
```
pip install vaex
```
-- **[Conda](https://anaconda.org/conda-forge/vaex)**:
+- [Conda](https://anaconda.org/conda-forge/vaex):
```
conda install -c conda-forge vaex
```
datatable (π₯20 Β· β 1.1K) - A Python package for manipulating 2-dimensional tabular data structures. MPL-2.0
+datatable (π₯20 Β· β 1.1K) - A Python package for manipulating 2-dimensional tabular data.. MPL-2.0
-- **[GitHub](https://github.com/h2oai/datatable)** (π¨βπ» 28 Β· π 92 Β· π₯ 680 Β· π 1.2K - 9% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/h2oai/datatable) (π¨βπ» 28 Β· π 92 Β· π₯ 680 Β· π 1.2K - 9% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/h2oai/datatable
```
-- **[PyPi](https://pypi.org/project/datatable)** (π₯ 13K / month Β· π¦ 6 Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/datatable) (π₯ 13K / month Β· π¦ 6 Β· β±οΈ 10.12.2020):
```
pip install datatable
```
StaticFrame (π₯20 Β· β 200) - The StaticFrame library defines the Series and Frame, immutable data structures.. MIT
+StaticFrame (π₯20 Β· β 200) - The StaticFrame library defines the Series and Frame, immutable data.. MIT
-- **[GitHub](https://github.com/InvestmentSystems/static-frame)** (π¨βπ» 14 Β· π 20 Β· π¦ 5 Β· π 260 - 11% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/InvestmentSystems/static-frame) (π¨βπ» 14 Β· π 20 Β· π¦ 5 Β· π 260 - 11% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/InvestmentSystems/static-frame
```
-- **[PyPi](https://pypi.org/project/static-frame)** (π₯ 2.6K / month Β· β±οΈ 01.12.2020):
+- [PyPi](https://pypi.org/project/static-frame) (π₯ 2.6K / month Β· β±οΈ 01.12.2020):
```
pip install static-frame
```
-- **[Conda](https://anaconda.org/conda-forge/static-frame)**:
+- [Conda](https://anaconda.org/conda-forge/static-frame):
```
conda install -c conda-forge static-frame
@@ -4488,38 +4488,38 @@ _General-purpose data containers & structures as well as utilities & extensions
fletcher (π₯19 Β· β 200) - Pandas ExtensionDType/Array backed by Apache Arrow. MIT
-- **[GitHub](https://github.com/xhochy/fletcher)** (π¨βπ» 23 Β· π 32 Β· π₯ 12 Β· π¦ 1 Β· π 72 - 45% open Β· β±οΈ 07.12.2020):
+- [GitHub](https://github.com/xhochy/fletcher) (π¨βπ» 23 Β· π 32 Β· π₯ 12 Β· π¦ 1 Β· π 72 - 45% open Β· β±οΈ 07.12.2020):
```
git clone https://github.com/xhochy/fletcher
```
-- **[PyPi](https://pypi.org/project/fletcher)** (π₯ 420 / month Β· β±οΈ 07.12.2020):
+- [PyPi](https://pypi.org/project/fletcher) (π₯ 430 / month Β· β±οΈ 07.12.2020):
```
pip install fletcher
```
Bounter (π₯18 Β· β 890) - Efficient Counter that uses a limited (bounded) amount of memory regardless of data.. MIT
+Bounter (π₯18 Β· β 890) - Efficient Counter that uses a limited (bounded) amount of memory.. MIT
-- **[GitHub](https://github.com/RaRe-Technologies/bounter)** (π¨βπ» 8 Β· π 48 Β· π¦ 20 Β· π 20 - 55% open Β· β±οΈ 16.08.2020):
+- [GitHub](https://github.com/RaRe-Technologies/bounter) (π¨βπ» 8 Β· π 48 Β· π¦ 20 Β· π 20 - 55% open Β· β±οΈ 16.08.2020):
```
git clone https://github.com/RaRe-Technologies/bounter
```
-- **[PyPi](https://pypi.org/project/bounter)** (π₯ 250 / month Β· π¦ 14 Β· β±οΈ 17.08.2020):
+- [PyPi](https://pypi.org/project/bounter) (π₯ 260 / month Β· π¦ 14 Β· β±οΈ 17.08.2020):
```
pip install bounter
```
PandaPy (π₯15 Β· β 460) - PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by.. MIT
+PandaPy (π₯15 Β· β 460) - PandaPy has the speed of NumPy and the usability of Pandas 10x to.. MIT
-- **[GitHub](https://github.com/firmai/pandapy)** (π¨βπ» 3 Β· π 42 Β· π¦ 1 Β· π 3 - 66% open Β· β±οΈ 12.11.2020):
+- [GitHub](https://github.com/firmai/pandapy) (π¨βπ» 3 Β· π 42 Β· π¦ 1 Β· π 3 - 66% open Β· β±οΈ 12.11.2020):
```
git clone https://github.com/firmai/pandapy
```
-- **[PyPi](https://pypi.org/project/pandapy)** (π₯ 93 / month Β· β±οΈ 25.01.2020):
+- [PyPi](https://pypi.org/project/pandapy) (π₯ 92 / month Β· β±οΈ 25.01.2020):
```
pip install pandapy
@@ -4528,12 +4528,12 @@ _General-purpose data containers & structures as well as utilities & extensions
Show 6 hidden projects...
Blaze (π₯28 Β· β 2.9K Β· π) - NumPy and Pandas interface to Big Data. BSD-3
-- **[GitHub](https://github.com/blaze/blaze)** (π¨βπ» 64 Β· π 370 Β· π¦ 7.3K Β· π 760 - 34% open Β· β±οΈ 15.08.2019):
+- [GitHub](https://github.com/blaze/blaze) (π¨βπ» 64 Β· π 370 Β· π¦ 7.3K Β· π 760 - 34% open Β· β±οΈ 15.08.2019):
```
git clone https://github.com/blaze/blaze
```
-- **[PyPi](https://pypi.org/project/blaze)** (π₯ 11K / month Β· π¦ 490 Β· β±οΈ 06.05.2016):
+- [PyPi](https://pypi.org/project/blaze) (π₯ 10K / month Β· π¦ 490 Β· β±οΈ 06.05.2016):
```
pip install blaze
@@ -4541,12 +4541,12 @@ _General-purpose data containers & structures as well as utilities & extensions
sklearn-pandas (π₯28 Β· β 2.3K) - Pandas integration with sklearn. βοΈZlib
-- **[GitHub](https://github.com/scikit-learn-contrib/sklearn-pandas)** (π¨βπ» 35 Β· π 380 Β· π¦ 1.5K Β· π 150 - 25% open Β· β±οΈ 03.12.2020):
+- [GitHub](https://github.com/scikit-learn-contrib/sklearn-pandas) (π¨βπ» 35 Β· π 380 Β· π¦ 1.5K Β· π 150 - 25% open Β· β±οΈ 03.12.2020):
```
git clone https://github.com/scikit-learn-contrib/sklearn-pandas
```
-- **[PyPi](https://pypi.org/project/sklearn-pandas)** (π₯ 110K / month Β· π¦ 220 Β· β±οΈ 07.11.2020):
+- [PyPi](https://pypi.org/project/sklearn-pandas) (π₯ 110K / month Β· π¦ 220 Β· β±οΈ 07.11.2020):
```
pip install sklearn-pandas
@@ -4554,12 +4554,12 @@ _General-purpose data containers & structures as well as utilities & extensions
Arctic (π₯24 Β· β 2.1K) - Arctic is a high performance datastore for numeric data. βοΈLGPL-2.1
-- **[GitHub](https://github.com/man-group/arctic)** (π¨βπ» 69 Β· π 430 Β· π₯ 83 Β· π¦ 100 Β· π 500 - 16% open Β· β±οΈ 02.12.2020):
+- [GitHub](https://github.com/man-group/arctic) (π¨βπ» 69 Β· π 430 Β· π₯ 83 Β· π¦ 100 Β· π 500 - 16% open Β· β±οΈ 02.12.2020):
```
git clone https://github.com/man-group/arctic
```
-- **[PyPi](https://pypi.org/project/arctic)** (π₯ 2.8K / month Β· π¦ 42 Β· β±οΈ 01.12.2020):
+- [PyPi](https://pypi.org/project/arctic) (π₯ 2.8K / month Β· π¦ 42 Β· β±οΈ 01.12.2020):
```
pip install arctic
@@ -4567,25 +4567,25 @@ _General-purpose data containers & structures as well as utilities & extensions
pandasql (π₯22 Β· β 920 Β· π) - sqldf for pandas. MIT
-- **[GitHub](https://github.com/yhat/pandasql)** (π¨βπ» 15 Β· π 140 Β· π¦ 580 Β· π 67 - 65% open Β· β±οΈ 01.02.2017):
+- [GitHub](https://github.com/yhat/pandasql) (π¨βπ» 15 Β· π 140 Β· π¦ 580 Β· π 67 - 65% open Β· β±οΈ 01.02.2017):
```
git clone https://github.com/yhat/pandasql
```
-- **[PyPi](https://pypi.org/project/pandasql)** (π₯ 210K / month Β· π¦ 49 Β· β±οΈ 20.04.2016):
+- [PyPi](https://pypi.org/project/pandasql) (π₯ 210K / month Β· π¦ 49 Β· β±οΈ 20.04.2016):
```
pip install pandasql
```
pickleDB (π₯21 Β· β 520 Β· π) - pickleDB is an open source key-value store using Python's json module. BSD-3
+pickleDB (π₯21 Β· β 520 Β· π) - pickleDB is an open source key-value store using Python's json.. BSD-3
-- **[GitHub](https://github.com/patx/pickledb)** (π¨βπ» 11 Β· π 91 Β· π¦ 410 Β· π 55 - 29% open Β· β±οΈ 15.11.2019):
+- [GitHub](https://github.com/patx/pickledb) (π¨βπ» 11 Β· π 91 Β· π¦ 410 Β· π 55 - 29% open Β· β±οΈ 15.11.2019):
```
git clone https://github.com/patx/pickledb
```
-- **[PyPi](https://pypi.org/project/pickledb)** (π₯ 17K / month Β· π¦ 100 Β· β±οΈ 13.01.2019):
+- [PyPi](https://pypi.org/project/pickledb) (π₯ 16K / month Β· π¦ 100 Β· β±οΈ 13.01.2019):
```
pip install pickledb
@@ -4593,12 +4593,12 @@ _General-purpose data containers & structures as well as utilities & extensions
Pandas Summary (π₯21 Β· β 360 Β· π) - An extension to pandas dataframes describe function. MIT
-- **[GitHub](https://github.com/mouradmourafiq/pandas-summary)** (π¨βπ» 6 Β· π 33 Β· π¦ 540 Β· π 13 - 61% open Β· β±οΈ 24.08.2019):
+- [GitHub](https://github.com/mouradmourafiq/pandas-summary) (π¨βπ» 6 Β· π 33 Β· π¦ 540 Β· π 13 - 61% open Β· β±οΈ 24.08.2019):
```
git clone https://github.com/mouradmourafiq/pandas-summary
```
-- **[PyPi](https://pypi.org/project/pandas-summary)** (π₯ 13K / month Β· π¦ 19 Β· β±οΈ 30.08.2016):
+- [PyPi](https://pypi.org/project/pandas-summary) (π₯ 13K / month Β· π¦ 19 Β· β±οΈ 30.08.2016):
```
pip install pandas-summary
@@ -4615,12 +4615,12 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
Faker (π₯36 Β· β 12K) - Faker is a Python package that generates fake data for you. MIT
-- **[GitHub](https://github.com/joke2k/faker)** (π¨βπ» 380 Β· π 1.3K Β· π¦ 21K Β· π 470 - 27% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/joke2k/faker) (π¨βπ» 380 Β· π 1.3K Β· π¦ 21K Β· π 470 - 27% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/joke2k/faker
```
-- **[PyPi](https://pypi.org/project/Faker)** (π₯ 2M / month Β· π¦ 4.7K Β· β±οΈ 07.12.2020):
+- [PyPi](https://pypi.org/project/Faker) (π₯ 2.1M / month Β· π¦ 4.7K Β· β±οΈ 15.12.2020):
```
pip install Faker
@@ -4628,25 +4628,25 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
xlrd (π₯33 Β· β 1.8K) - Please use openpyxl where you can... BSD-3
-- **[GitHub](https://github.com/python-excel/xlrd)** (π¨βπ» 50 Β· π 410 Β· π¦ 59K Β· β±οΈ 12.12.2020):
+- [GitHub](https://github.com/python-excel/xlrd) (π¨βπ» 50 Β· π 410 Β· π¦ 59K Β· β±οΈ 12.12.2020):
```
git clone https://github.com/python-excel/xlrd
```
-- **[PyPi](https://pypi.org/project/xlrd)** (π₯ 5.6M / month Β· π¦ 14K Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/xlrd) (π₯ 5.6M / month Β· π¦ 14K Β· β±οΈ 11.12.2020):
```
pip install xlrd
```
xmltodict (π₯32 Β· β 4.2K Β· π€) - Python module that makes working with XML feel like you are working with JSON. MIT
+xmltodict (π₯32 Β· β 4.2K Β· π€) - Python module that makes working with XML feel like you are.. MIT
-- **[GitHub](https://github.com/martinblech/xmltodict)** (π¨βπ» 41 Β· π 390 Β· π¦ 19K Β· π 200 - 31% open Β· β±οΈ 26.04.2020):
+- [GitHub](https://github.com/martinblech/xmltodict) (π¨βπ» 41 Β· π 390 Β· π¦ 19K Β· π 200 - 31% open Β· β±οΈ 26.04.2020):
```
git clone https://github.com/martinblech/xmltodict
```
-- **[PyPi](https://pypi.org/project/xmltodict)** (π₯ 4.4M / month Β· π¦ 8.2K Β· β±οΈ 11.02.2019):
+- [PyPi](https://pypi.org/project/xmltodict) (π₯ 4.3M / month Β· π¦ 8.2K Β· β±οΈ 11.02.2019):
```
pip install xmltodict
@@ -4654,38 +4654,25 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
Tablib (π₯32 Β· β 3.8K) - Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c. MIT
-- **[GitHub](https://github.com/jazzband/tablib)** (π¨βπ» 110 Β· π 560 Β· π¦ 8.7K Β· π 230 - 14% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/jazzband/tablib) (π¨βπ» 110 Β· π 560 Β· π¦ 8.7K Β· π 230 - 14% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/jazzband/tablib
```
-- **[PyPi](https://pypi.org/project/tablib)** (π₯ 630K / month Β· π¦ 2.4K Β· β±οΈ 05.12.2020):
+- [PyPi](https://pypi.org/project/tablib) (π₯ 620K / month Β· π¦ 2.4K Β· β±οΈ 05.12.2020):
```
pip install tablib
```
TensorFlow Datasets (π₯32 Β· β 2.6K) - TFDS is a collection of datasets ready to use with TensorFlow,.. Apache-2
-
-- **[GitHub](https://github.com/tensorflow/datasets)** (π¨βπ» 180 Β· π 880 Β· π¦ 3.1K Β· π 870 - 43% open Β· β±οΈ 14.12.2020):
-
- ```
- git clone https://github.com/tensorflow/datasets
- ```
-- **[PyPi](https://pypi.org/project/tensorflow-datasets)** (π₯ 540K / month Β· π¦ 100 Β· β±οΈ 09.10.2020):
-
- ```
- pip install tensorflow-datasets
- ```
-smart-open (π₯30 Β· β 1.9K) - Utils for streaming large files (S3, HDFS, gzip, bz2...). MIT
-- **[GitHub](https://github.com/RaRe-Technologies/smart_open)** (π¨βπ» 68 Β· π 260 Β· π 290 - 23% open Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/RaRe-Technologies/smart_open) (π¨βπ» 68 Β· π 260 Β· π 290 - 23% open Β· β±οΈ 10.12.2020):
```
git clone https://github.com/RaRe-Technologies/smart_open
```
-- **[PyPi](https://pypi.org/project/smart-open)** (π₯ 5.6M / month Β· π¦ 640 Β· β±οΈ 27.11.2020):
+- [PyPi](https://pypi.org/project/smart-open) (π₯ 5.4M / month Β· π¦ 640 Β· β±οΈ 27.11.2020):
```
pip install smart-open
@@ -4693,38 +4680,38 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
python-magic (π₯30 Β· β 1.8K) - A python wrapper for libmagic. MIT
-- **[GitHub](https://github.com/ahupp/python-magic)** (π¨βπ» 47 Β· π 200 Β· π¦ 11K Β· π 160 - 19% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/ahupp/python-magic) (π¨βπ» 47 Β· π 200 Β· π¦ 11K Β· π 160 - 19% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/ahupp/python-magic
```
-- **[PyPi](https://pypi.org/project/python-magic)** (π₯ 1.5M / month Β· π¦ 5.1K Β· β±οΈ 06.05.2020):
+- [PyPi](https://pypi.org/project/python-magic) (π₯ 1.5M / month Β· π¦ 5.1K Β· β±οΈ 06.05.2020):
```
pip install python-magic
```
pandas-datareader (π₯30 Β· β 1.8K) - Extract data from a wide range of Internet sources into a pandas.. BSD-3
+pandas-datareader (π₯30 Β· β 1.8K) - Extract data from a wide range of Internet sources into a.. BSD-3
-- **[GitHub](https://github.com/pydata/pandas-datareader)** (π¨βπ» 76 Β· π 490 Β· π¦ 7K Β· π 440 - 15% open Β· β±οΈ 02.09.2020):
+- [GitHub](https://github.com/pydata/pandas-datareader) (π¨βπ» 76 Β· π 490 Β· π¦ 7.1K Β· π 440 - 15% open Β· β±οΈ 02.09.2020):
```
git clone https://github.com/pydata/pandas-datareader
```
-- **[PyPi](https://pypi.org/project/pandas-datareader)** (π₯ 110K / month Β· π¦ 1.4K Β· β±οΈ 10.07.2020):
+- [PyPi](https://pypi.org/project/pandas-datareader) (π₯ 110K / month Β· π¦ 1.4K Β· β±οΈ 10.07.2020):
```
pip install pandas-datareader
```
csvkit (π₯28 Β· β 4.4K) - A suite of utilities for converting to and working with CSV, the king of tabular file.. MIT
+csvkit (π₯28 Β· β 4.4K) - A suite of utilities for converting to and working with CSV, the king of.. MIT
-- **[GitHub](https://github.com/wireservice/csvkit)** (π¨βπ» 91 Β· π 540 Β· π¦ 780 Β· π 800 - 7% open Β· β±οΈ 30.10.2020):
+- [GitHub](https://github.com/wireservice/csvkit) (π¨βπ» 91 Β· π 540 Β· π¦ 780 Β· π 800 - 7% open Β· β±οΈ 30.10.2020):
```
git clone https://github.com/wireservice/csvkit
```
-- **[PyPi](https://pypi.org/project/csvkit)** (π₯ 28K / month Β· π¦ 700 Β· β±οΈ 03.03.2020):
+- [PyPi](https://pypi.org/project/csvkit) (π₯ 28K / month Β· π¦ 700 Β· β±οΈ 03.03.2020):
```
pip install csvkit
@@ -4732,38 +4719,38 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
snorkel (π₯28 Β· β 4.3K) - A system for quickly generating training data with weak supervision. Apache-2
-- **[GitHub](https://github.com/snorkel-team/snorkel)** (π¨βπ» 62 Β· π 700 Β· π₯ 480 Β· π¦ 61 Β· π 940 - 3% open Β· β±οΈ 05.09.2020):
+- [GitHub](https://github.com/snorkel-team/snorkel) (π¨βπ» 62 Β· π 700 Β· π₯ 480 Β· π¦ 61 Β· π 940 - 3% open Β· β±οΈ 05.09.2020):
```
git clone https://github.com/snorkel-team/snorkel
```
-- **[PyPi](https://pypi.org/project/snorkel)** (π₯ 73K / month Β· π¦ 4 Β· β±οΈ 07.04.2020):
+- [PyPi](https://pypi.org/project/snorkel) (π₯ 71K / month Β· π¦ 4 Β· β±οΈ 07.04.2020):
```
pip install snorkel
```
PDFMiner (π₯26 Β· β 4.4K Β· π€) - Python PDF Parser (Not actively maintained). Check out pdfminer.six. MIT
+TensorFlow Datasets (π₯26 Β· β 2.6K) - TFDS is a collection of datasets ready to use with.. Apache-2
-- **[GitHub](https://github.com/euske/pdfminer)** (π¨βπ» 28 Β· π 1K Β· π¦ 1.9K Β· π 260 - 85% open Β· β±οΈ 18.01.2020):
+- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 180 Β· π 880 Β· π¦ 3.1K Β· π 870 - 43% open Β· β±οΈ 15.12.2020):
```
- git clone https://github.com/euske/pdfminer
+ git clone https://github.com/tensorflow/datasets
```
-- **[PyPi](https://pypi.org/project/pdfminer)** (π₯ 190K / month Β· π¦ 1.5K Β· β±οΈ 25.11.2019):
+- [PyPi](https://pypi.org/project/tensorflow-datasets) (π¦ 100 Β· β±οΈ 09.10.2020):
```
- pip install pdfminer
+ pip install tensorflow-datasets
```
Intake (π₯24 Β· β 500) - Intake is a lightweight package for finding, investigating, loading and.. BSD-2
-- **[GitHub](https://github.com/intake/intake)** (π¨βπ» 50 Β· π 89 Β· π¦ 210 Β· π 250 - 25% open Β· β±οΈ 09.12.2020):
+- [GitHub](https://github.com/intake/intake) (π¨βπ» 50 Β· π 89 Β· π¦ 210 Β· π 250 - 25% open Β· β±οΈ 09.12.2020):
```
git clone https://github.com/intake/intake
```
-- **[PyPi](https://pypi.org/project/intake)** (π₯ 2.9K / month Β· π¦ 74 Β· β±οΈ 03.06.2020):
+- [PyPi](https://pypi.org/project/intake) (π₯ 3.1K / month Β· π¦ 74 Β· β±οΈ 03.06.2020):
```
pip install intake
@@ -4771,75 +4758,88 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
SDV (π₯22 Β· β 280) - Synthetic Data Generation for tabular, relational and time series data. MIT
-- **[GitHub](https://github.com/sdv-dev/SDV)** (π¨βπ» 32 Β· π 48 Β· π¦ 12 Β· π 160 - 22% open Β· β±οΈ 07.12.2020):
+- [GitHub](https://github.com/sdv-dev/SDV) (π¨βπ» 32 Β· π 48 Β· π¦ 12 Β· π 160 - 22% open Β· β±οΈ 07.12.2020):
```
git clone https://github.com/sdv-dev/SDV
```
-- **[PyPi](https://pypi.org/project/sdv)** (π₯ 1.5K / month Β· β±οΈ 25.11.2020):
+- [PyPi](https://pypi.org/project/sdv) (π₯ 1.5K / month Β· β±οΈ 25.11.2020):
```
pip install sdv
```
Show 4 hidden projects...
-
textract (π₯26 Β· β 2.9K Β· π) - extract text from any document. no muss. no fuss. MIT
+PDFMiner (π₯21 Β· β 4.4K Β· π€) - Python PDF Parser (Not actively maintained). Check out pdfminer.six. MIT
-- **[GitHub](https://github.com/deanmalmgren/textract)** (π¨βπ» 30 Β· π 420 Β· π 200 - 40% open Β· β±οΈ 14.11.2019):
+- [GitHub](https://github.com/euske/pdfminer) (π¨βπ» 28 Β· π 1K Β· π¦ 1.9K Β· π 260 - 85% open Β· β±οΈ 18.01.2020):
```
- git clone https://github.com/deanmalmgren/textract
+ git clone https://github.com/euske/pdfminer
```
-- **[PyPi](https://pypi.org/project/textract)** (π₯ 59K / month Β· π¦ 190 Β· β±οΈ 26.08.2019):
+- [PyPi](https://pypi.org/project/pdfminer) (π¦ 1.5K Β· β±οΈ 25.11.2019):
```
- pip install textract
+ pip install pdfminer
```
Camelot (π₯24 Β· β 2.9K Β· π) - Camelot: PDF Table Extraction for Humans. MIT
+Show 4 hidden projects...
+
Camelot (π₯24 Β· β 3K Β· π) - Camelot: PDF Table Extraction for Humans. MIT
-- **[GitHub](https://github.com/atlanhq/camelot)** (π¨βπ» 23 Β· π 300 Β· π 330 - 18% open Β· β±οΈ 15.10.2019):
+- [GitHub](https://github.com/atlanhq/camelot) (π¨βπ» 23 Β· π 300 Β· π 330 - 18% open Β· β±οΈ 15.10.2019):
```
git clone https://github.com/atlanhq/camelot
```
-- **[PyPi](https://pypi.org/project/camelot-py)** (π₯ 25K / month Β· π¦ 10 Β· β±οΈ 27.07.2020):
+- [PyPi](https://pypi.org/project/camelot-py) (π₯ 25K / month Β· π¦ 10 Β· β±οΈ 27.07.2020):
```
pip install camelot-py
```
Singer (π₯23 Β· β 650) - Standard for moving data between databases, web APIs, files, queues, and just.. βοΈAGPL-3.0
+Singer (π₯23 Β· β 650) - Standard for moving data between databases, web APIs, files,.. βοΈAGPL-3.0
-- **[GitHub](https://github.com/singer-io/getting-started)** (π¨βπ» 26 Β· π 86 Β· π 36 - 55% open Β· β±οΈ 04.12.2020):
+- [GitHub](https://github.com/singer-io/getting-started) (π¨βπ» 26 Β· π 86 Β· π 36 - 55% open Β· β±οΈ 04.12.2020):
```
git clone https://github.com/singer-io/getting-started
```
-- **[PyPi](https://pypi.org/project/singer-python)** (π₯ 55K / month Β· π¦ 300 Β· β±οΈ 27.10.2020):
+- [PyPi](https://pypi.org/project/singer-python) (π₯ 55K / month Β· π¦ 300 Β· β±οΈ 27.10.2020):
```
pip install singer-python
```
pyexcel-xlsx (π₯23 Β· β 83) - A wrapper library to read, manipulate and write data in xlsx and xlsm format.. BSD-3
+pyexcel-xlsx (π₯23 Β· β 83) - A wrapper library to read, manipulate and write data in xlsx and.. BSD-3
-- **[GitHub](https://github.com/pyexcel/pyexcel-xlsx)** (π¨βπ» 4 Β· π 16 Β· π₯ 46 Β· π¦ 1K Β· π 32 - 37% open Β· β±οΈ 28.11.2020):
+- [GitHub](https://github.com/pyexcel/pyexcel-xlsx) (π¨βπ» 4 Β· π 16 Β· π₯ 46 Β· π¦ 1K Β· π 32 - 37% open Β· β±οΈ 28.11.2020):
```
git clone https://github.com/pyexcel/pyexcel-xlsx
```
-- **[PyPi](https://pypi.org/project/pyexcel-xlsx)** (π₯ 42K / month Β· π¦ 310 Β· β±οΈ 28.12.2019):
+- [PyPi](https://pypi.org/project/pyexcel-xlsx) (π₯ 43K / month Β· π¦ 310 Β· β±οΈ 28.12.2019):
```
pip install pyexcel-xlsx
```
-- **[Conda](https://anaconda.org/conda-forge/pyexcel-xlsx)**:
+- [Conda](https://anaconda.org/conda-forge/pyexcel-xlsx):
```
conda install -c conda-forge pyexcel-xlsx
```
textract (π₯22 Β· β 2.9K Β· π) - extract text from any document. no muss. no fuss. MIT
+
+- [GitHub](https://github.com/deanmalmgren/textract) (π¨βπ» 30 Β· π 420 Β· π 200 - 40% open Β· β±οΈ 14.11.2019):
+
+ ```
+ git clone https://github.com/deanmalmgren/textract
+ ```
+- [PyPi](https://pypi.org/project/textract) (π¦ 190 Β· β±οΈ 26.08.2019):
+
+ ```
+ pip install textract
+ ```
+
@@ -4851,25 +4851,25 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
Scrapy (π₯38 Β· β 39K) - Scrapy, a fast high-level web crawling & scraping framework for Python. BSD-3
-- **[GitHub](https://github.com/scrapy/scrapy)** (π¨βπ» 460 Β· π 8.9K Β· π¦ 21K Β· π 2.6K - 28% open Β· β±οΈ 03.12.2020):
+- [GitHub](https://github.com/scrapy/scrapy) (π¨βπ» 460 Β· π 8.9K Β· π¦ 22K Β· π 2.6K - 28% open Β· β±οΈ 03.12.2020):
```
git clone https://github.com/scrapy/scrapy
```
-- **[PyPi](https://pypi.org/project/scrapy)** (π₯ 480K / month Β· π¦ 8.4K Β· β±οΈ 17.11.2020):
+- [PyPi](https://pypi.org/project/scrapy) (π₯ 470K / month Β· π¦ 8.4K Β· β±οΈ 17.11.2020):
```
pip install scrapy
```
youtube-dl (π₯37 Β· β 85K) - Command-line program to download videos from YouTube.com and other video.. Unlicense
+youtube-dl (π₯37 Β· β 85K) - Command-line program to download videos from YouTube.com and.. Unlicense
-- **[GitHub](https://github.com/ytdl-org/youtube-dl)** (π¨βπ» 910 Β· π 2.9K Β· π₯ 46M Β· π 23K - 17% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/ytdl-org/youtube-dl) (π¨βπ» 910 Β· π 2.9K Β· π₯ 46M Β· π 23K - 17% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/ytdl-org/youtube-dl
```
-- **[PyPi](https://pypi.org/project/youtube_dl)** (π₯ 1.8M / month Β· π¦ 2.9K Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/youtube_dl) (π₯ 1.9M / month Β· π¦ 2.9K Β· β±οΈ 08.12.2020):
```
pip install youtube_dl
@@ -4877,12 +4877,12 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
You-Get (π₯29 Β· β 38K) - Dumb downloader that scrapes the web. MIT
-- **[GitHub](https://github.com/soimort/you-get)** (π¨βπ» 220 Β· π 7.9K Β· π₯ 330K Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/soimort/you-get) (π¨βπ» 220 Β· π 7.9K Β· π₯ 330K Β· β±οΈ 11.12.2020):
```
git clone https://github.com/soimort/you-get
```
-- **[PyPi](https://pypi.org/project/you-get)** (π₯ 24K / month Β· π¦ 18 Β· β±οΈ 27.10.2020):
+- [PyPi](https://pypi.org/project/you-get) (π₯ 25K / month Β· π¦ 18 Β· β±οΈ 27.10.2020):
```
pip install you-get
@@ -4890,38 +4890,38 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
Requests-HTML (π₯29 Β· β 11K Β· π€) - Pythonic HTML Parsing for Humans. MIT
-- **[GitHub](https://github.com/psf/requests-html)** (π¨βπ» 62 Β· π 770 Β· π¦ 3.4K Β· π 320 - 41% open Β· β±οΈ 10.05.2020):
+- [GitHub](https://github.com/psf/requests-html) (π¨βπ» 62 Β· π 770 Β· π¦ 3.4K Β· π 320 - 41% open Β· β±οΈ 10.05.2020):
```
git clone https://github.com/psf/requests-html
```
-- **[PyPi](https://pypi.org/project/requests-html)** (π₯ 280K / month Β· π¦ 360 Β· β±οΈ 17.02.2019):
+- [PyPi](https://pypi.org/project/requests-html) (π₯ 270K / month Β· π¦ 360 Β· β±οΈ 17.02.2019):
```
pip install requests-html
```
newspaper3k (π₯29 Β· β 10K) - News, full-text, and article metadata extraction in Python 3. Advanced docs:. MIT
+newspaper3k (π₯29 Β· β 10K) - News, full-text, and article metadata extraction in Python 3... MIT
-- **[GitHub](https://github.com/codelucas/newspaper)** (π¨βπ» 100 Β· π 1.7K Β· π¦ 2.1K Β· π 660 - 63% open Β· β±οΈ 02.09.2020):
+- [GitHub](https://github.com/codelucas/newspaper) (π¨βπ» 100 Β· π 1.7K Β· π¦ 2.1K Β· π 660 - 63% open Β· β±οΈ 02.09.2020):
```
git clone https://github.com/codelucas/newspaper
```
-- **[PyPi](https://pypi.org/project/newspaper3k)** (π₯ 29K / month Β· π¦ 440 Β· β±οΈ 28.09.2018):
+- [PyPi](https://pypi.org/project/newspaper3k) (π₯ 29K / month Β· π¦ 440 Β· β±οΈ 28.09.2018):
```
pip install newspaper3k
```
Pattern (π₯29 Β· β 7.7K Β· π€) - Web mining module for Python, with tools for scraping, natural language.. BSD-3
+Pattern (π₯29 Β· β 7.7K Β· π€) - Web mining module for Python, with tools for scraping, natural.. BSD-3
-- **[GitHub](https://github.com/clips/pattern)** (π¨βπ» 30 Β· π 1.5K Β· π¦ 1K Β· π 230 - 67% open Β· β±οΈ 25.04.2020):
+- [GitHub](https://github.com/clips/pattern) (π¨βπ» 30 Β· π 1.5K Β· π¦ 1K Β· π 230 - 67% open Β· β±οΈ 25.04.2020):
```
git clone https://github.com/clips/pattern
```
-- **[PyPi](https://pypi.org/project/pattern)** (π₯ 69K / month Β· π¦ 270 Β· β±οΈ 18.08.2018):
+- [PyPi](https://pypi.org/project/pattern) (π₯ 66K / month Β· π¦ 270 Β· β±οΈ 18.08.2018):
```
pip install pattern
@@ -4929,25 +4929,25 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
pyspider (π₯28 Β· β 15K) - A Powerful Spider(Web Crawler) System in Python. Apache-2
-- **[GitHub](https://github.com/binux/pyspider)** (π¨βπ» 62 Β· π 3.6K Β· π¦ 280 Β· π 820 - 33% open Β· β±οΈ 02.08.2020):
+- [GitHub](https://github.com/binux/pyspider) (π¨βπ» 62 Β· π 3.6K Β· π¦ 280 Β· π 820 - 33% open Β· β±οΈ 02.08.2020):
```
git clone https://github.com/binux/pyspider
```
-- **[PyPi](https://pypi.org/project/pyspider)** (π₯ 1.7K / month Β· π¦ 30 Β· β±οΈ 18.04.2018):
+- [PyPi](https://pypi.org/project/pyspider) (π₯ 1.7K / month Β· π¦ 30 Β· β±οΈ 18.04.2018):
```
pip install pyspider
```
Datasets (π₯28 Β· β 5.8K) - Fast, efficient, open-access datasets and evaluation metrics in PyTorch,.. Apache-2
+Datasets (π₯28 Β· β 5.8K) - Fast, efficient, open-access datasets and evaluation metrics in.. Apache-2
-- **[GitHub](https://github.com/huggingface/datasets)** (π¨βπ» 180 Β· π 590 Β· π¦ 200 Β· π 550 - 49% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/huggingface/datasets) (π¨βπ» 180 Β· π 600 Β· π¦ 200 Β· π 540 - 48% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/huggingface/datasets
```
-- **[PyPi](https://pypi.org/project/datasets)** (π₯ 24K / month Β· π¦ 18 Β· β±οΈ 19.11.2020):
+- [PyPi](https://pypi.org/project/datasets) (π₯ 25K / month Β· π¦ 18 Β· β±οΈ 19.11.2020):
```
pip install datasets
@@ -4955,12 +4955,12 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
MechanicalSoup (π₯26 Β· β 3.6K) - A Python library for automating interaction with websites. MIT
-- **[GitHub](https://github.com/MechanicalSoup/MechanicalSoup)** (π¨βπ» 41 Β· π 310 Β· π₯ 36 Β· π 140 - 15% open Β· β±οΈ 11.11.2020):
+- [GitHub](https://github.com/MechanicalSoup/MechanicalSoup) (π¨βπ» 41 Β· π 310 Β· π₯ 36 Β· π 140 - 15% open Β· β±οΈ 11.11.2020):
```
git clone https://github.com/MechanicalSoup/MechanicalSoup
```
-- **[PyPi](https://pypi.org/project/MechanicalSoup)** (π₯ 34K / month Β· π¦ 390 Β· β±οΈ 27.08.2019):
+- [PyPi](https://pypi.org/project/MechanicalSoup) (π₯ 34K / month Β· π¦ 390 Β· β±οΈ 27.08.2019):
```
pip install MechanicalSoup
@@ -4968,12 +4968,12 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
Grab (π₯26 Β· β 2K) - Web Scraping Framework. MIT
-- **[GitHub](https://github.com/lorien/grab)** (π¨βπ» 65 Β· π 240 Β· π¦ 300 Β· π 220 - 12% open Β· β±οΈ 08.12.2020):
+- [GitHub](https://github.com/lorien/grab) (π¨βπ» 65 Β· π 240 Β· π¦ 300 Β· π 220 - 12% open Β· β±οΈ 08.12.2020):
```
git clone https://github.com/lorien/grab
```
-- **[PyPi](https://pypi.org/project/grab)** (π₯ 2.7K / month Β· π¦ 100 Β· β±οΈ 24.06.2018):
+- [PyPi](https://pypi.org/project/grab) (π₯ 2.7K / month Β· π¦ 100 Β· β±οΈ 24.06.2018):
```
pip install grab
@@ -4981,12 +4981,12 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
micawber (π₯23 Β· β 510) - a small library for extracting rich content from urls. MIT
-- **[GitHub](https://github.com/coleifer/micawber)** (π¨βπ» 25 Β· π 75 Β· π¦ 480 Β· π 53 - 1% open Β· β±οΈ 05.11.2020):
+- [GitHub](https://github.com/coleifer/micawber) (π¨βπ» 25 Β· π 76 Β· π¦ 480 Β· π 53 - 1% open Β· β±οΈ 05.11.2020):
```
git clone https://github.com/coleifer/micawber
```
-- **[PyPi](https://pypi.org/project/micawber)** (π₯ 3.1K / month Β· π¦ 360 Β· β±οΈ 30.06.2019):
+- [PyPi](https://pypi.org/project/micawber) (π₯ 3.1K / month Β· π¦ 360 Β· β±οΈ 30.06.2019):
```
pip install micawber
@@ -4994,7 +4994,7 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
beautifulsoup4 (π₯21) - Screen-scraping library. MIT
-- **[PyPi](https://pypi.org/project/beautifulsoup4)** (π₯ 9.2M / month Β· π¦ 62K Β· β±οΈ 03.10.2020):
+- [PyPi](https://pypi.org/project/beautifulsoup4) (π₯ 9.1M / month Β· π¦ 62K Β· β±οΈ 03.10.2020):
```
pip install beautifulsoup4
@@ -5002,12 +5002,12 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
AutoScraper (π₯20 Β· β 3K Β· π£) - A Smart, Automatic, Fast and Lightweight Web Scraper for Python. MIT
-- **[GitHub](https://github.com/alirezamika/autoscraper)** (π¨βπ» 6 Β· π 280 Β· π¦ 14 Β· π 26 - 11% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/alirezamika/autoscraper) (π¨βπ» 6 Β· π 280 Β· π¦ 14 Β· π 26 - 11% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/alirezamika/autoscraper
```
-- **[PyPi](https://pypi.org/project/autoscraper)** (π₯ 800 / month Β· β±οΈ 29.11.2020):
+- [PyPi](https://pypi.org/project/autoscraper) (π₯ 790 / month Β· β±οΈ 29.11.2020):
```
pip install autoscraper
@@ -5015,12 +5015,12 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
gazpacho (π₯20 Β· β 500) - The simple, fast, and modern web scraping library. MIT
-- **[GitHub](https://github.com/maxhumber/gazpacho)** (π¨βπ» 13 Β· π 46 Β· π¦ 73 Β· π 32 - 9% open Β· β±οΈ 31.10.2020):
+- [GitHub](https://github.com/maxhumber/gazpacho) (π¨βπ» 13 Β· π 46 Β· π¦ 74 Β· π 32 - 9% open Β· β±οΈ 31.10.2020):
```
git clone https://github.com/maxhumber/gazpacho
```
-- **[PyPi](https://pypi.org/project/gazpacho)** (π₯ 1.8K / month Β· π¦ 2 Β· β±οΈ 24.09.2020):
+- [PyPi](https://pypi.org/project/gazpacho) (π₯ 1.8K / month Β· π¦ 2 Β· β±οΈ 24.09.2020):
```
pip install gazpacho
@@ -5028,12 +5028,12 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
Transistor (π₯16 Β· β 210) - Transistor, a Python web scraping framework for intelligent use cases. MIT
-- **[GitHub](https://github.com/bomquote/transistor)** (π¨βπ» 3 Β· π 17 Β· π₯ 51 Β· π 63 - 95% open Β· β±οΈ 16.08.2020):
+- [GitHub](https://github.com/bomquote/transistor) (π¨βπ» 3 Β· π 17 Β· π₯ 51 Β· π 63 - 95% open Β· β±οΈ 16.08.2020):
```
git clone https://github.com/bomquote/transistor
```
-- **[PyPi](https://pypi.org/project/transistor)** (π₯ 120 / month Β· β±οΈ 03.08.2020):
+- [PyPi](https://pypi.org/project/transistor) (π₯ 120 / month Β· β±οΈ 03.08.2020):
```
pip install transistor
@@ -5042,12 +5042,12 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
Show 6 hidden projects...
soupsieve (π₯29 Β· β 83) - A modern CSS selector implementation for BeautifulSoup. MIT
-- **[GitHub](https://github.com/facelessuser/soupsieve)** (π¨βπ» 8 Β· π 17 Β· π¦ 89K Β· π 89 - 13% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/facelessuser/soupsieve) (π¨βπ» 8 Β· π 17 Β· π¦ 89K Β· π 89 - 13% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/facelessuser/soupsieve
```
-- **[PyPi](https://pypi.org/project/soupsieve)** (π₯ 8M / month Β· π¦ 4.2K Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/soupsieve) (π₯ 7.9M / month Β· π¦ 4.2K Β· β±οΈ 10.12.2020):
```
pip install soupsieve
@@ -5055,25 +5055,25 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
Google Images Download (π₯27 Β· β 7.3K Β· π) - Python Script to download hundreds of images from 'Google.. MIT
-- **[GitHub](https://github.com/hardikvasa/google-images-download)** (π¨βπ» 38 Β· π 1.7K Β· π 260 - 39% open Β· β±οΈ 21.05.2019):
+- [GitHub](https://github.com/hardikvasa/google-images-download) (π¨βπ» 38 Β· π 1.7K Β· π 260 - 39% open Β· β±οΈ 21.05.2019):
```
git clone https://github.com/hardikvasa/google-images-download
```
-- **[PyPi](https://pypi.org/project/google_images_download)** (π₯ 21K / month Β· π¦ 210 Β· β±οΈ 14.05.2019):
+- [PyPi](https://pypi.org/project/google_images_download) (π₯ 21K / month Β· π¦ 210 Β· β±οΈ 14.05.2019):
```
pip install google_images_download
```
gallery-dl (π₯23 Β· β 2.7K) - Command-line program to download image galleries and collections from.. βοΈGPL-2.0
+gallery-dl (π₯23 Β· β 2.7K) - Command-line program to download image galleries and.. βοΈGPL-2.0
-- **[GitHub](https://github.com/mikf/gallery-dl)** (π¨βπ» 27 Β· π 220 Β· π₯ 75K Β· π 1.1K - 18% open Β· β±οΈ 12.12.2020):
+- [GitHub](https://github.com/mikf/gallery-dl) (π¨βπ» 27 Β· π 220 Β· π₯ 75K Β· π 1.1K - 18% open Β· β±οΈ 12.12.2020):
```
git clone https://github.com/mikf/gallery-dl
```
-- **[PyPi](https://pypi.org/project/gallery-dl)** (π₯ 4.3K / month Β· π¦ 4 Β· β±οΈ 27.11.2020):
+- [PyPi](https://pypi.org/project/gallery-dl) (π₯ 4.9K / month Β· π¦ 4 Β· β±οΈ 27.11.2020):
```
pip install gallery-dl
@@ -5081,12 +5081,12 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
WikiExtractor (π₯23 Β· β 2.5K) - A tool for extracting plain text from Wikipedia dumps. βοΈAGPL-3.0
-- **[GitHub](https://github.com/attardi/wikiextractor)** (π¨βπ» 29 Β· π 720 Β· π¦ 34 Β· π 180 - 44% open Β· β±οΈ 05.12.2020):
+- [GitHub](https://github.com/attardi/wikiextractor) (π¨βπ» 29 Β· π 720 Β· π¦ 34 Β· π 180 - 44% open Β· β±οΈ 05.12.2020):
```
git clone https://github.com/attardi/wikiextractor
```
-- **[PyPi](https://pypi.org/project/wikiextractor)** (π₯ 2K / month Β· π¦ 4 Β· β±οΈ 05.12.2020):
+- [PyPi](https://pypi.org/project/wikiextractor) (π₯ 2K / month Β· π¦ 4 Β· β±οΈ 05.12.2020):
```
pip install wikiextractor
@@ -5094,12 +5094,12 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
Photon (π₯20 Β· β 7.4K Β· π€) - Incredibly fast crawler designed for OSINT. βοΈGPL-3.0
-- **[GitHub](https://github.com/s0md3v/Photon)** (π¨βπ» 21 Β· π 980 Β· π 98 - 33% open Β· β±οΈ 06.12.2019):
+- [GitHub](https://github.com/s0md3v/Photon) (π¨βπ» 21 Β· π 980 Β· π 98 - 33% open Β· β±οΈ 06.12.2019):
```
git clone https://github.com/s0md3v/Photon
```
-- **[PyPi](https://pypi.org/project/photon)** (π₯ 450 / month Β· π¦ 5 Β· β±οΈ 25.01.2019):
+- [PyPi](https://pypi.org/project/photon) (π₯ 440 / month Β· π¦ 5 Β· β±οΈ 25.01.2019):
```
pip install photon
@@ -5107,7 +5107,7 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
lazynlp (π₯14 Β· β 1.9K Β· π) - Library to scrape and clean web pages to create massive datasets. MIT
-- **[GitHub](https://github.com/chiphuyen/lazynlp)** (π¨βπ» 4 Β· π 280 Β· π 8 - 62% open Β· β±οΈ 07.10.2019):
+- [GitHub](https://github.com/chiphuyen/lazynlp) (π¨βπ» 4 Β· π 280 Β· π 8 - 62% open Β· β±οΈ 07.10.2019):
```
git clone https://github.com/chiphuyen/lazynlp
@@ -5124,12 +5124,12 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
Celery (π₯37 Β· β 16K) - Asynchronous task queue/job queue based on distributed message passing. BSD-3
-- **[GitHub](https://github.com/celery/celery)** (π¨βπ» 1.1K Β· π 3.9K Β· π¦ 46K Β· π 4.4K - 11% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/celery/celery) (π¨βπ» 1.1K Β· π 3.9K Β· π¦ 46K Β· π 4.4K - 11% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/celery/celery
```
-- **[PyPi](https://pypi.org/project/celery)** (π₯ 2.3M / month Β· π¦ 28K Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/celery) (π₯ 2.3M / month Β· π¦ 28K Β· β±οΈ 08.12.2020):
```
pip install celery
@@ -5137,71 +5137,71 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
Airflow (π₯35 Β· β 20K) - Platform to programmatically author, schedule, and monitor workflows. Apache-2
-- **[GitHub](https://github.com/apache/airflow)** (π¨βπ» 1.7K Β· π 7.6K Β· π₯ 63K Β· π 2.6K - 34% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/apache/airflow) (π¨βπ» 1.7K Β· π 7.6K Β· π₯ 63K Β· π 2.6K - 34% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/apache/airflow
```
-- **[PyPi](https://pypi.org/project/apache-airflow)** (π₯ 610K / month Β· π¦ 290 Β· β±οΈ 14.12.2020):
+- [PyPi](https://pypi.org/project/apache-airflow) (π₯ 610K / month Β· π¦ 290 Β· β±οΈ 14.12.2020):
```
pip install apache-airflow
```
-- **[Conda](https://anaconda.org/conda-forge/airflow)**:
+- [Conda](https://anaconda.org/conda-forge/airflow):
```
conda install -c conda-forge airflow
```
-- **[Dockerhub](https://hub.docker.com/r/apache/airflow)** (π₯ 3M Β· β 180 Β· β±οΈ 14.12.2020):
+- [Dockerhub](https://hub.docker.com/r/apache/airflow) (π₯ 3M Β· β 180 Β· β±οΈ 16.12.2020):
```
docker pull apache/airflow
```
luigi (π₯33 Β· β 14K) - Luigi is a Python module that helps you build complex pipelines of batch jobs. It.. Apache-2
+luigi (π₯33 Β· β 14K) - Luigi is a Python module that helps you build complex pipelines of.. Apache-2
-- **[GitHub](https://github.com/spotify/luigi)** (π¨βπ» 550 Β· π 2.2K Β· π¦ 1.3K Β· π 880 - 5% open Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/spotify/luigi) (π¨βπ» 550 Β· π 2.2K Β· π¦ 1.3K Β· π 900 - 7% open Β· β±οΈ 10.12.2020):
```
git clone https://github.com/spotify/luigi
```
-- **[PyPi](https://pypi.org/project/luigi)** (π₯ 410K / month Β· π¦ 680 Β· β±οΈ 23.09.2020):
+- [PyPi](https://pypi.org/project/luigi) (π₯ 410K / month Β· π¦ 680 Β· β±οΈ 23.09.2020):
```
pip install luigi
```
-- **[Conda](https://anaconda.org/anaconda/luigi)** (β±οΈ 20.07.2020):
+- [Conda](https://anaconda.org/anaconda/luigi) (β±οΈ 20.07.2020):
```
conda install -c anaconda luigi
```
Beam (π₯32 Β· β 4.4K) - Unified programming model to define and execute data processing pipelines,.. Apache-2
+Beam (π₯32 Β· β 4.4K) - Unified programming model to define and execute data processing.. Apache-2
-- **[GitHub](https://github.com/apache/beam)** (π¨βπ» 980 Β· π 2.7K Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/apache/beam) (π¨βπ» 980 Β· π 2.7K Β· β±οΈ 16.12.2020):
```
git clone https://github.com/apache/beam
```
-- **[PyPi](https://pypi.org/project/apache-beam)** (π₯ 1.8M / month Β· π¦ 190 Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/apache-beam) (π₯ 1.8M / month Β· π¦ 190 Β· β±οΈ 11.12.2020):
```
pip install apache-beam
```
Prefect (π₯30 Β· β 5.5K) - The easiest way to automate your data. Apache-2
+Prefect (π₯30 Β· β 5.6K) - The easiest way to automate your data. Apache-2
-- **[GitHub](https://github.com/PrefectHQ/prefect)** (π¨βπ» 170 Β· π 460 Β· π¦ 210 Β· π 1.4K - 15% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/PrefectHQ/prefect) (π¨βπ» 170 Β· π 460 Β· π¦ 210 Β· π 1.5K - 15% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/PrefectHQ/prefect
```
-- **[PyPi](https://pypi.org/project/prefect)** (π₯ 40K / month Β· π¦ 2 Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/prefect) (π₯ 41K / month Β· π¦ 2 Β· β±οΈ 08.12.2020):
```
pip install prefect
```
-- **[Conda](https://anaconda.org/conda-forge/prefect)**:
+- [Conda](https://anaconda.org/conda-forge/prefect):
```
conda install -c conda-forge prefect
@@ -5209,12 +5209,12 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
mrjob (π₯30 Β· β 2.5K) - Run MapReduce jobs on Hadoop or Amazon Web Services. Apache-2
-- **[GitHub](https://github.com/Yelp/mrjob)** (π¨βπ» 140 Β· π 590 Β· π¦ 630 Β· π 1.3K - 15% open Β· β±οΈ 16.11.2020):
+- [GitHub](https://github.com/Yelp/mrjob) (π¨βπ» 140 Β· π 590 Β· π¦ 630 Β· π 1.3K - 15% open Β· β±οΈ 16.11.2020):
```
git clone https://github.com/Yelp/mrjob
```
-- **[PyPi](https://pypi.org/project/mrjob)** (π₯ 140K / month Β· π¦ 110 Β· β±οΈ 17.09.2020):
+- [PyPi](https://pypi.org/project/mrjob) (π₯ 130K / month Β· π¦ 110 Β· β±οΈ 17.09.2020):
```
pip install mrjob
@@ -5222,38 +5222,38 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
faust (π₯28 Β· β 5.1K) - Python Stream Processing. BSD-3
-- **[GitHub](https://github.com/robinhood/faust)** (π¨βπ» 90 Β· π 420 Β· π¦ 540 Β· π 440 - 50% open Β· β±οΈ 09.10.2020):
+- [GitHub](https://github.com/robinhood/faust) (π¨βπ» 90 Β· π 420 Β· π¦ 550 Β· π 440 - 50% open Β· β±οΈ 09.10.2020):
```
git clone https://github.com/robinhood/faust
```
-- **[PyPi](https://pypi.org/project/faust)** (π₯ 84K / month Β· π¦ 28 Β· β±οΈ 25.02.2020):
+- [PyPi](https://pypi.org/project/faust) (π₯ 87K / month Β· π¦ 28 Β· β±οΈ 25.02.2020):
```
pip install faust
```
Kedro (π₯28 Β· β 3.2K) - A Python library that helps you create reproducible, maintainable and modular.. Apache-2
+Kedro (π₯28 Β· β 3.2K) - A Python library that helps you create reproducible, maintainable.. Apache-2
-- **[GitHub](https://github.com/quantumblacklabs/kedro)** (π¨βπ» 85 Β· π 380 Β· π¦ 330 Β· π 400 - 17% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/quantumblacklabs/kedro) (π¨βπ» 85 Β· π 380 Β· π¦ 330 Β· π 400 - 17% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/quantumblacklabs/kedro
```
-- **[PyPi](https://pypi.org/project/kedro)** (π₯ 75K / month Β· π¦ 16 Β· β±οΈ 23.10.2020):
+- [PyPi](https://pypi.org/project/kedro) (π₯ 75K / month Β· π¦ 16 Β· β±οΈ 23.10.2020):
```
pip install kedro
```
dbt (π₯28 Β· β 2.3K) - dbt (data build tool) enables data analysts and engineers to transform their data.. Apache-2
+dbt (π₯28 Β· β 2.3K) - dbt (data build tool) enables data analysts and engineers to transform.. Apache-2
-- **[GitHub](https://github.com/fishtown-analytics/dbt)** (π¨βπ» 130 Β· π 460 Β· π¦ 150 Β· π 1.7K - 15% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/fishtown-analytics/dbt) (π¨βπ» 130 Β· π 460 Β· π¦ 150 Β· π 1.7K - 15% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/fishtown-analytics/dbt
```
-- **[PyPi](https://pypi.org/project/dbt)** (π₯ 86K / month Β· π¦ 9 Β· β±οΈ 21.10.2020):
+- [PyPi](https://pypi.org/project/dbt) (π₯ 88K / month Β· π¦ 9 Β· β±οΈ 21.10.2020):
```
pip install dbt
@@ -5261,25 +5261,25 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
Dagster (π₯26 Β· β 2.4K) - A data orchestrator for machine learning, analytics, and ETL. Apache-2
-- **[GitHub](https://github.com/dagster-io/dagster)** (π¨βπ» 110 Β· π 250 Β· π¦ 120 Β· π 2.3K - 25% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/dagster-io/dagster) (π¨βπ» 110 Β· π 250 Β· π¦ 120 Β· π 2.3K - 25% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/dagster-io/dagster
```
-- **[PyPi](https://pypi.org/project/dagster)** (π₯ 29K / month Β· π¦ 4 Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/dagster) (π₯ 29K / month Β· π¦ 4 Β· β±οΈ 11.12.2020):
```
pip install dagster
```
PyFunctional (π₯26 Β· β 1.7K) - Python library for creating data pipelines with chain functional programming. MIT
+PyFunctional (π₯26 Β· β 1.7K) - Python library for creating data pipelines with chain functional.. MIT
-- **[GitHub](https://github.com/EntilZha/PyFunctional)** (π¨βπ» 21 Β· π 96 Β· π¦ 240 Β· π 120 - 2% open Β· β±οΈ 17.09.2020):
+- [GitHub](https://github.com/EntilZha/PyFunctional) (π¨βπ» 21 Β· π 96 Β· π¦ 240 Β· π 120 - 2% open Β· β±οΈ 17.09.2020):
```
git clone https://github.com/EntilZha/PyFunctional
```
-- **[PyPi](https://pypi.org/project/pyfunctional)** (π₯ 35K / month Β· β±οΈ 17.09.2020):
+- [PyPi](https://pypi.org/project/pyfunctional) (π₯ 35K / month Β· β±οΈ 17.09.2020):
```
pip install pyfunctional
@@ -5287,168 +5287,168 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
petl (π₯26 Β· β 800) - Python Extract Transform and Load Tables of Data. MIT
-- **[GitHub](https://github.com/petl-developers/petl)** (π¨βπ» 42 Β· π 150 Β· π¦ 300 Β· π 410 - 16% open Β· β±οΈ 06.10.2020):
+- [GitHub](https://github.com/petl-developers/petl) (π¨βπ» 42 Β· π 150 Β· π¦ 300 Β· π 410 - 16% open Β· β±οΈ 06.10.2020):
```
git clone https://github.com/petl-developers/petl
```
-- **[PyPi](https://pypi.org/project/petl)** (π₯ 17K / month Β· π¦ 110 Β· β±οΈ 06.10.2020):
+- [PyPi](https://pypi.org/project/petl) (π₯ 17K / month Β· π¦ 110 Β· β±οΈ 06.10.2020):
```
pip install petl
```
streamparse (π₯25 Β· β 1.4K) - Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a.. Apache-2
+streamparse (π₯25 Β· β 1.4K) - Run Python in Apache Storm topologies. Pythonic API, CLI.. Apache-2
-- **[GitHub](https://github.com/Parsely/streamparse)** (π¨βπ» 40 Β· π 220 Β· π¦ 46 Β· π 330 - 20% open Β· β±οΈ 07.10.2020):
+- [GitHub](https://github.com/Parsely/streamparse) (π¨βπ» 40 Β· π 220 Β· π¦ 46 Β· π 330 - 20% open Β· β±οΈ 07.10.2020):
```
git clone https://github.com/Parsely/streamparse
```
-- **[PyPi](https://pypi.org/project/streamparse)** (π₯ 1.9K / month Β· π¦ 26 Β· β±οΈ 07.10.2020):
+- [PyPi](https://pypi.org/project/streamparse) (π₯ 2K / month Β· π¦ 26 Β· β±οΈ 07.10.2020):
```
pip install streamparse
```
TFX (π₯24 Β· β 1.3K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2
+Optimus (π₯24 Β· β 960) - Agile Data Preparation Workflows madeeasy with dask, cudf,.. Apache-2
-- **[GitHub](https://github.com/tensorflow/tfx)** (π¨βπ» 94 Β· π 360 Β· π 500 - 40% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/ironmussa/Optimus) (π¨βπ» 21 Β· π 190 Β· π¦ 11 Β· π 300 - 45% open Β· β±οΈ 19.11.2020):
```
- git clone https://github.com/tensorflow/tfx
+ git clone https://github.com/ironmussa/Optimus
```
-- **[PyPi](https://pypi.org/project/tfx)** (π₯ 44K / month Β· π¦ 2 Β· β±οΈ 19.11.2020):
+- [PyPi](https://pypi.org/project/optimuspyspark) (π₯ 6.1K / month Β· β±οΈ 30.05.2019):
```
- pip install tfx
+ pip install optimuspyspark
```
Optimus (π₯24 Β· β 960) - Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and.. Apache-2
+Pypeline (π₯21 Β· β 1.2K) - Concurrent data pipelines in Python . MIT
-- **[GitHub](https://github.com/ironmussa/Optimus)** (π¨βπ» 21 Β· π 190 Β· π¦ 11 Β· π 300 - 45% open Β· β±οΈ 19.11.2020):
+- [GitHub](https://github.com/cgarciae/pypeln) (π¨βπ» 8 Β· π 64 Β· π 45 - 24% open Β· β±οΈ 13.11.2020):
```
- git clone https://github.com/ironmussa/Optimus
+ git clone https://github.com/cgarciae/pypeln
```
-- **[PyPi](https://pypi.org/project/optimuspyspark)** (π₯ 5.9K / month Β· β±οΈ 30.05.2019):
+- [PyPi](https://pypi.org/project/pypeln) (π₯ 3.6K / month Β· π¦ 5 Β· β±οΈ 11.10.2020):
```
- pip install optimuspyspark
+ pip install pypeln
```
Great Expectations (π₯23 Β· β 3.3K) - Always know what to expect from your data. Apache-2
+TFX (π₯20 Β· β 1.3K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2
-- **[GitHub](https://github.com/great-expectations/great_expectations)** (π¨βπ» 140 Β· π 360 Β· π 720 - 19% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 94 Β· π 360 Β· π 500 - 40% open Β· β±οΈ 16.12.2020):
```
- git clone https://github.com/great-expectations/great_expectations
+ git clone https://github.com/tensorflow/tfx
```
-- **[PyPi](https://pypi.org/project/great_expectations)** (π₯ 310K / month Β· π¦ 6 Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/tfx) (π¦ 2 Β· β±οΈ 19.11.2020):
```
- pip install great_expectations
+ pip install tfx
```
pysparkling (π₯22 Β· β 230) - A pure Python implementation of Apache Spark's RDD and DStream interfaces. MIT
+pdpipe (π₯20 Β· β 570) - Easy pipelines for pandas DataFrames. MIT
-- **[GitHub](https://github.com/svenkreiss/pysparkling)** (π¨βπ» 9 Β· π 43 Β· π¦ 53 Β· π 22 - 9% open Β· β±οΈ 02.11.2020):
+- [GitHub](https://github.com/pdpipe/pdpipe) (π¨βπ» 8 Β· π 29 Β· π¦ 21 Β· π 20 - 30% open Β· β±οΈ 17.11.2020):
```
- git clone https://github.com/svenkreiss/pysparkling
+ git clone https://github.com/pdpipe/pdpipe
```
-- **[PyPi](https://pypi.org/project/pysparkling)** (π₯ 7.4K / month Β· π¦ 7 Β· β±οΈ 13.07.2019):
+- [PyPi](https://pypi.org/project/pdpipe) (π₯ 910 / month Β· β±οΈ 09.11.2020):
```
- pip install pysparkling
+ pip install pdpipe
```
Pypeline (π₯21 Β· β 1.2K) - Concurrent data pipelines in Python . MIT
+riko (π₯19 Β· β 1.5K) - A Python stream processing engine modeled after Yahoo! Pipes. MIT
-- **[GitHub](https://github.com/cgarciae/pypeln)** (π¨βπ» 8 Β· π 63 Β· π 45 - 24% open Β· β±οΈ 13.11.2020):
+- [GitHub](https://github.com/nerevu/riko) (π¨βπ» 18 Β· π 70 Β· π 30 - 73% open Β· β±οΈ 14.08.2020):
```
- git clone https://github.com/cgarciae/pypeln
+ git clone https://github.com/nerevu/riko
```
-- **[PyPi](https://pypi.org/project/pypeln)** (π₯ 3.7K / month Β· π¦ 5 Β· β±οΈ 11.10.2020):
+- [PyPi](https://pypi.org/project/riko) (π₯ 290 / month Β· π¦ 1 Β· β±οΈ 14.08.2020):
```
- pip install pypeln
+ pip install riko
```
pdpipe (π₯20 Β· β 570) - Easy pipelines for pandas DataFrames. MIT
+TaskTiger (π₯19 Β· β 1K) - Python task queue using Redis. MIT
-- **[GitHub](https://github.com/pdpipe/pdpipe)** (π¨βπ» 8 Β· π 29 Β· π¦ 21 Β· π 20 - 30% open Β· β±οΈ 17.11.2020):
+- [GitHub](https://github.com/closeio/tasktiger) (π¨βπ» 19 Β· π 58 Β· π¦ 19 Β· π 61 - 49% open Β· β±οΈ 15.12.2020):
```
- git clone https://github.com/pdpipe/pdpipe
+ git clone https://github.com/closeio/tasktiger
```
-- **[PyPi](https://pypi.org/project/pdpipe)** (π₯ 930 / month Β· β±οΈ 09.11.2020):
+- [PyPi](https://pypi.org/project/tasktiger) (π₯ 340 / month Β· π¦ 9 Β· β±οΈ 18.06.2020):
```
- pip install pdpipe
+ pip install tasktiger
```
riko (π₯19 Β· β 1.5K) - A Python stream processing engine modeled after Yahoo! Pipes. MIT
+Databolt Flow (π₯19 Β· β 890) - Python library for building highly effective data science workflows. MIT
-- **[GitHub](https://github.com/nerevu/riko)** (π¨βπ» 18 Β· π 70 Β· π 30 - 73% open Β· β±οΈ 14.08.2020):
+- [GitHub](https://github.com/d6t/d6tflow) (π¨βπ» 9 Β· π 62 Β· π¦ 12 Β· π 16 - 31% open Β· β±οΈ 07.12.2020):
```
- git clone https://github.com/nerevu/riko
+ git clone https://github.com/d6t/d6tflow
```
-- **[PyPi](https://pypi.org/project/riko)** (π₯ 400 / month Β· π¦ 1 Β· β±οΈ 14.08.2020):
+- [PyPi](https://pypi.org/project/d6tflow) (π₯ 200 / month Β· β±οΈ 19.10.2020):
```
- pip install riko
+ pip install d6tflow
```
TaskTiger (π₯19 Β· β 1K) - Python task queue using Redis. MIT
+pysparkling (π₯19 Β· β 230) - A pure Python implementation of Apache Spark's RDD and DStream.. MIT
-- **[GitHub](https://github.com/closeio/tasktiger)** (π¨βπ» 19 Β· π 58 Β· π¦ 19 Β· π 61 - 49% open Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/svenkreiss/pysparkling) (π¨βπ» 9 Β· π 43 Β· π¦ 53 Β· π 22 - 9% open Β· β±οΈ 02.11.2020):
```
- git clone https://github.com/closeio/tasktiger
+ git clone https://github.com/svenkreiss/pysparkling
```
-- **[PyPi](https://pypi.org/project/tasktiger)** (π₯ 320 / month Β· π¦ 9 Β· β±οΈ 18.06.2020):
+- [PyPi](https://pypi.org/project/pysparkling) (π¦ 7 Β· β±οΈ 13.07.2019):
```
- pip install tasktiger
+ pip install pysparkling
```
Databolt Flow (π₯19 Β· β 890) - Python library for building highly effective data science workflows. MIT
+Great Expectations (π₯18 Β· β 3.3K) - Always know what to expect from your data. Apache-2
-- **[GitHub](https://github.com/d6t/d6tflow)** (π¨βπ» 9 Β· π 62 Β· π¦ 12 Β· π 16 - 31% open Β· β±οΈ 07.12.2020):
+- [GitHub](https://github.com/great-expectations/great_expectations) (π¨βπ» 140 Β· π 360 Β· π 720 - 19% open Β· β±οΈ 15.12.2020):
```
- git clone https://github.com/d6t/d6tflow
+ git clone https://github.com/great-expectations/great_expectations
```
-- **[PyPi](https://pypi.org/project/d6tflow)** (π₯ 210 / month Β· β±οΈ 19.10.2020):
+- [PyPi](https://pypi.org/project/great_expectations) (π¦ 6 Β· β±οΈ 08.12.2020):
```
- pip install d6tflow
+ pip install great_expectations
```
Mara Pipelines (π₯18 Β· β 1.6K) - A lightweight opinionated ETL framework, halfway between plain scripts and.. MIT
+Mara Pipelines (π₯18 Β· β 1.6K) - A lightweight opinionated ETL framework, halfway between plain.. MIT
-- **[GitHub](https://github.com/mara/mara-pipelines)** (π¨βπ» 15 Β· π 76 Β· π¦ 7 Β· π 17 - 35% open Β· β±οΈ 31.07.2020):
+- [GitHub](https://github.com/mara/mara-pipelines) (π¨βπ» 15 Β· π 76 Β· π¦ 7 Β· π 17 - 35% open Β· β±οΈ 31.07.2020):
```
git clone https://github.com/mara/mara-pipelines
```
-- **[PyPi](https://pypi.org/project/mara-pipelines)** (π₯ 36 / month Β· β±οΈ 31.07.2020):
+- [PyPi](https://pypi.org/project/mara-pipelines) (π₯ 36 / month Β· β±οΈ 31.07.2020):
```
pip install mara-pipelines
```
BatchFlow (π₯18 Β· β 150) - BatchFlow helps you conveniently work with random or sequential batches of.. Apache-2
+BatchFlow (π₯18 Β· β 150) - BatchFlow helps you conveniently work with random or sequential.. Apache-2
-- **[GitHub](https://github.com/analysiscenter/batchflow)** (π¨βπ» 28 Β· π 33 Β· π 100 - 49% open Β· β±οΈ 08.12.2020):
+- [GitHub](https://github.com/analysiscenter/batchflow) (π¨βπ» 28 Β· π 33 Β· π 100 - 49% open Β· β±οΈ 08.12.2020):
```
git clone https://github.com/analysiscenter/batchflow
```
-- **[PyPi](https://pypi.org/project/batchflow)** (π₯ 32 / month Β· β±οΈ 23.08.2019):
+- [PyPi](https://pypi.org/project/batchflow) (π₯ 31 / month Β· β±οΈ 23.08.2019):
```
pip install batchflow
@@ -5457,25 +5457,25 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
Show 2 hidden projects...
bonobo (π₯23 Β· β 1.4K Β· π) - Extract Transform Load for Python 3.5+. Apache-2
-- **[GitHub](https://github.com/python-bonobo/bonobo)** (π¨βπ» 35 Β· π 110 Β· π¦ 100 Β· π 170 - 36% open Β· β±οΈ 20.07.2019):
+- [GitHub](https://github.com/python-bonobo/bonobo) (π¨βπ» 35 Β· π 110 Β· π¦ 100 Β· π 170 - 36% open Β· β±οΈ 20.07.2019):
```
git clone https://github.com/python-bonobo/bonobo
```
-- **[PyPi](https://pypi.org/project/bonobo)** (π₯ 2.8K / month Β· π¦ 24 Β· β±οΈ 20.07.2019):
+- [PyPi](https://pypi.org/project/bonobo) (π₯ 2.9K / month Β· π¦ 24 Β· β±οΈ 20.07.2019):
```
pip install bonobo
```
Botflow (π₯15 Β· β 1.1K Β· π) - Python Fast Dataflow programming framework for Data pipeline work( Web.. BSD-3
+Botflow (π₯14 Β· β 1.2K Β· π) - Python Fast Dataflow programming framework for Data pipeline.. BSD-3
-- **[GitHub](https://github.com/kkyon/botflow)** (π¨βπ» 11 Β· π 97 Β· π¦ 1 Β· π 4 - 50% open Β· β±οΈ 23.05.2019):
+- [GitHub](https://github.com/kkyon/botflow) (π¨βπ» 11 Β· π 97 Β· π¦ 1 Β· π 4 - 50% open Β· β±οΈ 23.05.2019):
```
git clone https://github.com/kkyon/botflow
```
-- **[PyPi](https://pypi.org/project/botflow)** (π₯ 51 / month Β· β±οΈ 14.09.2018):
+- [PyPi](https://pypi.org/project/botflow) (β±οΈ 14.09.2018):
```
pip install botflow
@@ -5492,38 +5492,38 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask (π₯35 Β· β 7.6K) - Parallel computing with task scheduling. BSD-3
-- **[GitHub](https://github.com/dask/dask)** (π¨βπ» 420 Β· π 1.2K Β· π¦ 24K Β· π 3.4K - 19% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/dask/dask) (π¨βπ» 420 Β· π 1.2K Β· π¦ 24K Β· π 3.4K - 19% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/dask/dask
```
-- **[PyPi](https://pypi.org/project/dask)** (π₯ 1.4M / month Β· π¦ 3.9K Β· β±οΈ 11.12.2020):
+- [PyPi](https://pypi.org/project/dask) (π₯ 1.4M / month Β· π¦ 3.9K Β· β±οΈ 11.12.2020):
```
pip install dask
```
Ray (π₯32 Β· β 14K) - An open source framework that provides a simple, universal API for building.. Apache-2
+Ray (π₯32 Β· β 14K) - An open source framework that provides a simple, universal API for.. Apache-2
-- **[GitHub](https://github.com/ray-project/ray)** (π¨βπ» 410 Β· π 2.2K Β· π¦ 1.4K Β· π 5.5K - 21% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 410 Β· π 2.2K Β· π¦ 1.4K Β· π 5.5K - 21% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/ray-project/ray
```
-- **[PyPi](https://pypi.org/project/ray)** (π₯ 210K / month Β· π¦ 160 Β· β±οΈ 19.11.2020):
+- [PyPi](https://pypi.org/project/ray) (π₯ 220K / month Β· π¦ 160 Β· β±οΈ 19.11.2020):
```
pip install ray
```
horovod (π₯30 Β· β 11K) - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. Apache-2
+horovod (π₯30 Β· β 11K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
-- **[GitHub](https://github.com/horovod/horovod)** (π¨βπ» 110 Β· π 1.7K Β· π¦ 300 Β· π 1.6K - 15% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 110 Β· π 1.7K Β· π¦ 300 Β· π 1.6K - 15% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/horovod/horovod
```
-- **[PyPi](https://pypi.org/project/horovod)** (π₯ 110K / month Β· π¦ 20 Β· β±οΈ 01.10.2020):
+- [PyPi](https://pypi.org/project/horovod) (π₯ 110K / month Β· π¦ 20 Β· β±οΈ 01.10.2020):
```
pip install horovod
@@ -5531,12 +5531,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
ipyparallel (π₯27 Β· β 1.8K) - Interactive Parallel Computing in Python. BSD-3
-- **[GitHub](https://github.com/ipython/ipyparallel)** (π¨βπ» 94 Β· π 720 Β· π¦ 1.3K Β· π 240 - 56% open Β· β±οΈ 24.08.2020):
+- [GitHub](https://github.com/ipython/ipyparallel) (π¨βπ» 94 Β· π 720 Β· π¦ 1.3K Β· π 240 - 56% open Β· β±οΈ 24.08.2020):
```
git clone https://github.com/ipython/ipyparallel
```
-- **[PyPi](https://pypi.org/project/ipyparallel)** (π₯ 51K / month Β· π¦ 490 Β· β±οΈ 05.05.2020):
+- [PyPi](https://pypi.org/project/ipyparallel) (π₯ 51K / month Β· π¦ 490 Β· β±οΈ 05.05.2020):
```
pip install ipyparallel
@@ -5544,12 +5544,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask-ml (π₯26 Β· β 680) - Scalable Machine Learning with Dask. BSD-3
-- **[GitHub](https://github.com/dask/dask-ml)** (π¨βπ» 60 Β· π 180 Β· π¦ 320 Β· π 370 - 46% open Β· β±οΈ 25.11.2020):
+- [GitHub](https://github.com/dask/dask-ml) (π¨βπ» 60 Β· π 180 Β· π¦ 320 Β· π 370 - 46% open Β· β±οΈ 25.11.2020):
```
git clone https://github.com/dask/dask-ml
```
-- **[PyPi](https://pypi.org/project/dask-ml)** (π₯ 43K / month Β· π¦ 42 Β· β±οΈ 24.09.2020):
+- [PyPi](https://pypi.org/project/dask-ml) (π₯ 42K / month Β· π¦ 42 Β· β±οΈ 24.09.2020):
```
pip install dask-ml
@@ -5557,12 +5557,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Mesh (π₯26 Β· β 600) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2
-- **[GitHub](https://github.com/tensorflow/mesh)** (π¨βπ» 38 Β· π 110 Β· π¦ 460 Β· π 73 - 83% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/tensorflow/mesh) (π¨βπ» 38 Β· π 110 Β· π¦ 460 Β· π 73 - 83% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/tensorflow/mesh
```
-- **[PyPi](https://pypi.org/project/mesh-tensorflow)** (π₯ 73K / month Β· π¦ 28 Β· β±οΈ 13.10.2020):
+- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 73K / month Β· π¦ 28 Β· β±οΈ 13.10.2020):
```
pip install mesh-tensorflow
@@ -5570,12 +5570,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
mpi4py (π₯26 Β· β 360) - Python bindings for MPI. BSD-3
-- **[GitHub](https://github.com/mpi4py/mpi4py)** (π¨βπ» 13 Β· π 60 Β· π₯ 180 Β· β±οΈ 10.11.2020):
+- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 13 Β· π 60 Β· π₯ 190 Β· β±οΈ 15.12.2020):
```
git clone https://github.com/mpi4py/mpi4py
```
-- **[PyPi](https://pypi.org/project/mpi4py)** (π₯ 230K / month Β· π¦ 700 Β· β±οΈ 04.11.2019):
+- [PyPi](https://pypi.org/project/mpi4py) (π₯ 230K / month Β· π¦ 700 Β· β±οΈ 04.11.2019):
```
pip install mpi4py
@@ -5583,17 +5583,17 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
BigDL (π₯25 Β· β 3.7K) - BigDL: Distributed Deep Learning Framework for Apache Spark. Apache-2
-- **[GitHub](https://github.com/intel-analytics/BigDL)** (π¨βπ» 71 Β· π 900 Β· π¦ 19 Β· π 900 - 19% open Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/intel-analytics/BigDL) (π¨βπ» 71 Β· π 900 Β· π¦ 19 Β· π 900 - 19% open Β· β±οΈ 10.12.2020):
```
git clone https://github.com/intel-analytics/BigDL
```
-- **[PyPi](https://pypi.org/project/bigdl)** (π₯ 1.1K / month Β· π¦ 3 Β· β±οΈ 06.12.2020):
+- [PyPi](https://pypi.org/project/bigdl) (π₯ 1.1K / month Β· π¦ 3 Β· β±οΈ 06.12.2020):
```
pip install bigdl
```
-- **[Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4)** (β±οΈ 05.12.2020):
+- [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (β±οΈ 05.12.2020):
```
@@ -5603,14 +5603,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
TensorFlowOnSpark (π₯24 Β· β 3.6K) - TensorFlowOnSpark brings TensorFlow programs to Apache Spark.. Apache-2
+TensorFlowOnSpark (π₯24 Β· β 3.6K) - TensorFlowOnSpark brings TensorFlow programs to Apache.. Apache-2
-- **[GitHub](https://github.com/yahoo/TensorFlowOnSpark)** (π¨βπ» 33 Β· π 900 Β· π¦ 38 Β· π 340 - 1% open Β· β±οΈ 27.07.2020):
+- [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (π¨βπ» 33 Β· π 900 Β· π¦ 38 Β· π 340 - 1% open Β· β±οΈ 27.07.2020):
```
git clone https://github.com/yahoo/TensorFlowOnSpark
```
-- **[PyPi](https://pypi.org/project/tensorflowonspark)** (π₯ 29K / month Β· π¦ 5 Β· β±οΈ 16.03.2020):
+- [PyPi](https://pypi.org/project/tensorflowonspark) (π₯ 29K / month Β· π¦ 5 Β· β±οΈ 16.03.2020):
```
pip install tensorflowonspark
@@ -5618,48 +5618,48 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Elephas (π₯24 Β· β 1.4K) - Distributed Deep learning with Keras & Spark. MIT
-- **[GitHub](https://github.com/maxpumperla/elephas)** (π¨βπ» 25 Β· π 280 Β· π¦ 33 Β· π 130 - 38% open Β· β±οΈ 02.10.2020):
+- [GitHub](https://github.com/maxpumperla/elephas) (π¨βπ» 25 Β· π 280 Β· π¦ 33 Β· π 130 - 38% open Β· β±οΈ 02.10.2020):
```
git clone https://github.com/maxpumperla/elephas
```
-- **[PyPi](https://pypi.org/project/elephas)** (π₯ 12K / month Β· π¦ 3 Β· β±οΈ 10.02.2020):
+- [PyPi](https://pypi.org/project/elephas) (π₯ 12K / month Β· π¦ 3 Β· β±οΈ 10.02.2020):
```
pip install elephas
```
DeepSpeed (π₯23 Β· β 3.8K) - DeepSpeed is a deep learning optimization library that makes distributed.. MIT
+DeepSpeed (π₯23 Β· β 3.8K) - DeepSpeed is a deep learning optimization library that makes.. MIT
-- **[GitHub](https://github.com/microsoft/DeepSpeed)** (π¨βπ» 34 Β· π 340 Β· π¦ 4 Β· π 210 - 36% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 34 Β· π 340 Β· π¦ 4 Β· π 220 - 36% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/microsoft/DeepSpeed
```
-- **[PyPi](https://pypi.org/project/deepspeed)** (π₯ 1.4K / month Β· β±οΈ 09.12.2020):
+- [PyPi](https://pypi.org/project/deepspeed) (π₯ 1.3K / month Β· β±οΈ 09.12.2020):
```
pip install deepspeed
```
-- **[Dockerhub](https://hub.docker.com/r/deepspeed/deepspeed)** (π₯ 6.4K Β· β 2 Β· β±οΈ 20.11.2020):
+- [Dockerhub](https://hub.docker.com/r/deepspeed/deepspeed) (π₯ 6.4K Β· β 2 Β· β±οΈ 20.11.2020):
```
docker pull deepspeed/deepspeed
```
BytePS (π₯20 Β· β 2.6K) - A high performance and generic framework for distributed DNN training. Apache-2
+BytePS (π₯20 Β· β 2.6K) - A high performance and generic framework for distributed DNN.. Apache-2
-- **[GitHub](https://github.com/bytedance/byteps)** (π¨βπ» 16 Β· π 360 Β· π 200 - 34% open Β· β±οΈ 06.12.2020):
+- [GitHub](https://github.com/bytedance/byteps) (π¨βπ» 16 Β· π 360 Β· π 200 - 34% open Β· β±οΈ 06.12.2020):
```
git clone https://github.com/bytedance/byteps
```
-- **[PyPi](https://pypi.org/project/byteps)** (π₯ 230 / month Β· β±οΈ 04.11.2020):
+- [PyPi](https://pypi.org/project/byteps) (π₯ 230 / month Β· β±οΈ 04.11.2020):
```
pip install byteps
```
-- **[Dockerhub](https://hub.docker.com/r/bytepsimage/tensorflow)** (π₯ 920 Β· β±οΈ 03.03.2020):
+- [Dockerhub](https://hub.docker.com/r/bytepsimage/tensorflow) (π₯ 920 Β· β±οΈ 03.03.2020):
```
docker pull bytepsimage/tensorflow
@@ -5667,12 +5667,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Fiber (π₯20 Β· β 830) - Distributed Computing for AI Made Simple. Apache-2
-- **[GitHub](https://github.com/uber/fiber)** (π¨βπ» 5 Β· π 85 Β· π¦ 17 Β· π 16 - 68% open Β· β±οΈ 06.10.2020):
+- [GitHub](https://github.com/uber/fiber) (π¨βπ» 5 Β· π 85 Β· π¦ 17 Β· π 16 - 68% open Β· β±οΈ 06.10.2020):
```
git clone https://github.com/uber/fiber
```
-- **[PyPi](https://pypi.org/project/fiber)** (π₯ 1.8K / month Β· π¦ 1 Β· β±οΈ 09.07.2020):
+- [PyPi](https://pypi.org/project/fiber) (π₯ 1.7K / month Β· π¦ 1 Β· β±οΈ 09.07.2020):
```
pip install fiber
@@ -5680,17 +5680,17 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Submit it (π₯20 Β· β 260) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT
-- **[GitHub](https://github.com/facebookincubator/submitit)** (π¨βπ» 8 Β· π 16 Β· π¦ 67 Β· π 20 - 40% open Β· β±οΈ 04.12.2020):
+- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 8 Β· π 16 Β· π¦ 67 Β· π 20 - 40% open Β· β±οΈ 04.12.2020):
```
git clone https://github.com/facebookincubator/submitit
```
-- **[PyPi](https://pypi.org/project/submitit)** (π₯ 1.4K / month Β· β±οΈ 01.12.2020):
+- [PyPi](https://pypi.org/project/submitit) (π₯ 1.5K / month Β· β±οΈ 01.12.2020):
```
pip install submitit
```
-- **[Conda](https://anaconda.org/conda-forge/submitit)**:
+- [Conda](https://anaconda.org/conda-forge/submitit):
```
conda install -c conda-forge submitit
@@ -5698,7 +5698,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
MMLSpark (π₯19 Β· β 2.2K) - Microsoft Machine Learning for Apache Spark. MIT
-- **[GitHub](https://github.com/Azure/mmlspark)** (π¨βπ» 61 Β· π 470 Β· π 380 - 44% open Β· β±οΈ 03.12.2020):
+- [GitHub](https://github.com/Azure/mmlspark) (π¨βπ» 61 Β· π 470 Β· π 380 - 44% open Β· β±οΈ 03.12.2020):
```
git clone https://github.com/Azure/mmlspark
@@ -5706,17 +5706,17 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Apache Singa (π₯18 Β· β 2.1K) - a distributed deep learning platform. Apache-2
-- **[GitHub](https://github.com/apache/singa)** (π¨βπ» 70 Β· π 560 Β· π 81 - 60% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/apache/singa) (π¨βπ» 70 Β· π 560 Β· π 81 - 60% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/apache/singa
```
-- **[Conda](https://anaconda.org/nusdbsystem/singa)**:
+- [Conda](https://anaconda.org/nusdbsystem/singa):
```
conda install -c nusdbsystem singa
```
-- **[Dockerhub](https://hub.docker.com/r/apache/singa)** (π₯ 160 Β· β 2 Β· β±οΈ 04.06.2019):
+- [Dockerhub](https://hub.docker.com/r/apache/singa) (π₯ 160 Β· β 2 Β· β±οΈ 04.06.2019):
```
docker pull apache/singa
@@ -5724,25 +5724,25 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
sk-dist (π₯18 Β· β 250) - Distributed scikit-learn meta-estimators in PySpark. Apache-2
-- **[GitHub](https://github.com/Ibotta/sk-dist)** (π¨βπ» 6 Β· π 42 Β· π¦ 5 Β· π 15 - 40% open Β· β±οΈ 03.12.2020):
+- [GitHub](https://github.com/Ibotta/sk-dist) (π¨βπ» 6 Β· π 42 Β· π¦ 5 Β· π 15 - 40% open Β· β±οΈ 03.12.2020):
```
git clone https://github.com/Ibotta/sk-dist
```
-- **[PyPi](https://pypi.org/project/sk-dist)** (π₯ 4.7K / month Β· π¦ 2 Β· β±οΈ 14.05.2020):
+- [PyPi](https://pypi.org/project/sk-dist) (π₯ 4.7K / month Β· π¦ 2 Β· β±οΈ 14.05.2020):
```
pip install sk-dist
```
Hivemind (π₯17 Β· β 630) - Decentralized deep learning in PyTorch. Built to train models on thousands of.. MIT
+Hivemind (π₯17 Β· β 630) - Decentralized deep learning in PyTorch. Built to train models on.. MIT
-- **[GitHub](https://github.com/learning-at-home/hivemind)** (π¨βπ» 8 Β· π 28 Β· π¦ 1 Β· π 31 - 45% open Β· β±οΈ 02.12.2020):
+- [GitHub](https://github.com/learning-at-home/hivemind) (π¨βπ» 8 Β· π 28 Β· π¦ 1 Β· π 31 - 45% open Β· β±οΈ 02.12.2020):
```
git clone https://github.com/learning-at-home/hivemind
```
-- **[PyPi](https://pypi.org/project/hivemind)** (π₯ 37 / month Β· π¦ 1 Β· β±οΈ 28.08.2020):
+- [PyPi](https://pypi.org/project/hivemind) (π₯ 37 / month Β· π¦ 1 Β· β±οΈ 28.08.2020):
```
pip install hivemind
@@ -5751,25 +5751,25 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Show 3 hidden projects...
DEAP (π₯28 Β· β 4K) - Distributed Evolutionary Algorithms in Python. βοΈLGPL-3.0
-- **[GitHub](https://github.com/DEAP/deap)** (π¨βπ» 66 Β· π 820 Β· π¦ 1.5K Β· π 380 - 43% open Β· β±οΈ 13.12.2020):
+- [GitHub](https://github.com/DEAP/deap) (π¨βπ» 66 Β· π 820 Β· π¦ 1.5K Β· π 380 - 43% open Β· β±οΈ 13.12.2020):
```
git clone https://github.com/deap/deap
```
-- **[PyPi](https://pypi.org/project/deap)** (π₯ 80K / month Β· π¦ 480 Β· β±οΈ 21.01.2020):
+- [PyPi](https://pypi.org/project/deap) (π₯ 82K / month Β· π¦ 480 Β· β±οΈ 21.01.2020):
```
pip install deap
```
TensorFrames (π₯19 Β· β 770 Β· π) - [DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark. Apache-2
+TensorFrames (π₯19 Β· β 770 Β· π) - [DEPRECATED] Tensorflow wrapper for DataFrames on Apache.. Apache-2
-- **[GitHub](https://github.com/databricks/tensorframes)** (π¨βπ» 16 Β· π 160 Β· π 94 - 54% open Β· β±οΈ 15.11.2019):
+- [GitHub](https://github.com/databricks/tensorframes) (π¨βπ» 16 Β· π 160 Β· π 94 - 54% open Β· β±οΈ 15.11.2019):
```
git clone https://github.com/databricks/tensorframes
```
-- **[PyPi](https://pypi.org/project/tensorframes)** (π₯ 6.6K / month Β· β±οΈ 16.05.2018):
+- [PyPi](https://pypi.org/project/tensorframes) (π₯ 6.6K / month Β· β±οΈ 16.05.2018):
```
pip install tensorframes
@@ -5777,12 +5777,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
LazyCluster (π₯12 Β· β 30) - Distributed machine learning made simple. Apache-2
-- **[GitHub](https://github.com/ml-tooling/lazycluster)** (π¨βπ» 2 Β· π 4 Β· π¦ 2 Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/ml-tooling/lazycluster) (π¨βπ» 2 Β· π 4 Β· π¦ 2 Β· β±οΈ 14.12.2020):
```
git clone https://github.com/ml-tooling/lazycluster
```
-- **[PyPi](https://pypi.org/project/lazycluster)** (π₯ 83 / month Β· β±οΈ 14.12.2020):
+- [PyPi](https://pypi.org/project/lazycluster) (π₯ 83 / month Β· β±οΈ 14.12.2020):
```
pip install lazycluster
@@ -5799,25 +5799,25 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Hyperopt (π₯31 Β· β 5.3K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3
-- **[GitHub](https://github.com/hyperopt/hyperopt)** (π¨βπ» 83 Β· π 840 Β· π¦ 2.3K Β· π 540 - 59% open Β· β±οΈ 18.11.2020):
+- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 83 Β· π 840 Β· π¦ 2.4K Β· π 540 - 59% open Β· β±οΈ 18.11.2020):
```
git clone https://github.com/hyperopt/hyperopt
```
-- **[PyPi](https://pypi.org/project/hyperopt)** (π₯ 530K / month Β· π¦ 500 Β· β±οΈ 07.10.2020):
+- [PyPi](https://pypi.org/project/hyperopt) (π₯ 530K / month Β· π¦ 500 Β· β±οΈ 07.10.2020):
```
pip install hyperopt
```
scikit-optimize (π₯31 Β· β 2K) - Sequential model-based optimization with a `scipy.optimize` interface. BSD-3
+scikit-optimize (π₯31 Β· β 2K) - Sequential model-based optimization with a `scipy.optimize`.. BSD-3
-- **[GitHub](https://github.com/scikit-optimize/scikit-optimize)** (π¨βπ» 67 Β· π 370 Β· π¦ 1.2K Β· π 510 - 31% open Β· β±οΈ 29.09.2020):
+- [GitHub](https://github.com/scikit-optimize/scikit-optimize) (π¨βπ» 67 Β· π 370 Β· π¦ 1.2K Β· π 510 - 31% open Β· β±οΈ 29.09.2020):
```
git clone https://github.com/scikit-optimize/scikit-optimize
```
-- **[PyPi](https://pypi.org/project/scikit-optimize)** (π₯ 570K / month Β· π¦ 160 Β· β±οΈ 04.09.2020):
+- [PyPi](https://pypi.org/project/scikit-optimize) (π₯ 550K / month Β· π¦ 160 Β· β±οΈ 04.09.2020):
```
pip install scikit-optimize
@@ -5825,12 +5825,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Optuna (π₯30 Β· β 3.7K) - A hyperparameter optimization framework. MIT
-- **[GitHub](https://github.com/optuna/optuna)** (π¨βπ» 120 Β· π 430 Β· π¦ 780 Β· π 600 - 26% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 120 Β· π 430 Β· π¦ 780 Β· π 600 - 26% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/optuna/optuna
```
-- **[PyPi](https://pypi.org/project/optuna)** (π₯ 160K / month Β· π¦ 52 Β· β±οΈ 04.11.2020):
+- [PyPi](https://pypi.org/project/optuna) (π₯ 160K / month Β· π¦ 52 Β· β±οΈ 04.11.2020):
```
pip install optuna
@@ -5838,12 +5838,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Keras Tuner (π₯29 Β· β 2.2K) - Hyperparameter tuning for humans. Apache-2
-- **[GitHub](https://github.com/keras-team/keras-tuner)** (π¨βπ» 28 Β· π 250 Β· π¦ 320 Β· π 280 - 52% open Β· β±οΈ 09.12.2020):
+- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 28 Β· π 250 Β· π¦ 320 Β· π 280 - 52% open Β· β±οΈ 09.12.2020):
```
git clone https://github.com/keras-team/keras-tuner
```
-- **[PyPi](https://pypi.org/project/keras-tuner)** (π₯ 1.2M / month Β· π¦ 2 Β· β±οΈ 20.11.2020):
+- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 1.2M / month Β· π¦ 2 Β· β±οΈ 20.11.2020):
```
pip install keras-tuner
@@ -5851,17 +5851,17 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
featuretools (π₯28 Β· β 5.3K) - An open source python library for automated feature engineering. BSD-3
-- **[GitHub](https://github.com/alteryx/featuretools)** (π¨βπ» 49 Β· π 680 Β· π¦ 610 Β· π 490 - 21% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/alteryx/featuretools) (π¨βπ» 49 Β· π 680 Β· π¦ 610 Β· π 490 - 21% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/alteryx/featuretools
```
-- **[PyPi](https://pypi.org/project/featuretools)** (π₯ 67K / month Β· π¦ 70 Β· β±οΈ 30.11.2020):
+- [PyPi](https://pypi.org/project/featuretools) (π₯ 68K / month Β· π¦ 70 Β· β±οΈ 30.11.2020):
```
pip install featuretools
```
-- **[Conda](https://anaconda.org/conda-forge/featuretools)**:
+- [Conda](https://anaconda.org/conda-forge/featuretools):
```
conda install -c conda-forge featuretools
@@ -5869,38 +5869,38 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoKeras (π₯27 Β· β 7.6K) - AutoML library for deep learning. Apache-2
-- **[GitHub](https://github.com/keras-team/autokeras)** (π¨βπ» 120 Β· π 1.2K Β· π¦ 140 Β· π 700 - 8% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/keras-team/autokeras) (π¨βπ» 120 Β· π 1.2K Β· π¦ 140 Β· π 700 - 8% open Β· β±οΈ 11.12.2020):
```
git clone https://github.com/keras-team/autokeras
```
-- **[PyPi](https://pypi.org/project/autokeras)** (π₯ 5.6K / month Β· π¦ 7 Β· β±οΈ 30.11.2020):
+- [PyPi](https://pypi.org/project/autokeras) (π₯ 5.8K / month Β· π¦ 7 Β· β±οΈ 30.11.2020):
```
pip install autokeras
```
Bayesian Optimization (π₯27 Β· β 4.7K) - A Python implementation of global optimization with gaussian processes. MIT
+Bayesian Optimization (π₯27 Β· β 4.7K) - A Python implementation of global optimization with.. MIT
-- **[GitHub](https://github.com/fmfn/BayesianOptimization)** (π¨βπ» 26 Β· π 1K Β· π₯ 43 Β· π¦ 540 Β· π 190 - 21% open Β· β±οΈ 13.07.2020):
+- [GitHub](https://github.com/fmfn/BayesianOptimization) (π¨βπ» 26 Β· π 1K Β· π₯ 43 Β· π¦ 540 Β· π 190 - 21% open Β· β±οΈ 13.07.2020):
```
git clone https://github.com/fmfn/BayesianOptimization
```
-- **[PyPi](https://pypi.org/project/bayesian-optimization)** (π₯ 71K / month Β· π¦ 92 Β· β±οΈ 16.05.2020):
+- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 71K / month Β· π¦ 92 Β· β±οΈ 16.05.2020):
```
pip install bayesian-optimization
```
NNI (π₯26 Β· β 8.5K) - An open source AutoML toolkit for automate machine learning lifecycle, including feature.. MIT
+NNI (π₯26 Β· β 8.5K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
-- **[GitHub](https://github.com/microsoft/nni)** (π¨βπ» 110 Β· π 1.1K Β· π¦ 75 Β· π 1.1K - 21% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/microsoft/nni) (π¨βπ» 110 Β· π 1.1K Β· π¦ 75 Β· π 1.1K - 21% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/microsoft/nni
```
-- **[PyPi](https://pypi.org/project/nni)** (π₯ 2.4K / month Β· π¦ 8 Β· β±οΈ 22.10.2020):
+- [PyPi](https://pypi.org/project/nni) (π₯ 2.4K / month Β· π¦ 8 Β· β±οΈ 22.10.2020):
```
pip install nni
@@ -5908,25 +5908,25 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
auto-sklearn (π₯26 Β· β 5.1K) - Automated Machine Learning with scikit-learn. BSD-3
-- **[GitHub](https://github.com/automl/auto-sklearn)** (π¨βπ» 63 Β· π 960 Β· π¦ 120 Β· π 670 - 17% open Β· β±οΈ 07.12.2020):
+- [GitHub](https://github.com/automl/auto-sklearn) (π¨βπ» 63 Β· π 960 Β· π¦ 120 Β· π 670 - 17% open Β· β±οΈ 07.12.2020):
```
git clone https://github.com/automl/auto-sklearn
```
-- **[PyPi](https://pypi.org/project/auto-sklearn)** (π₯ 5.8K / month Β· π¦ 15 Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/auto-sklearn) (π₯ 5.9K / month Β· π¦ 15 Β· β±οΈ 08.12.2020):
```
pip install auto-sklearn
```
Hyperas (π₯26 Β· β 2.1K) - Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization. MIT
+Hyperas (π₯26 Β· β 2.1K) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT
-- **[GitHub](https://github.com/maxpumperla/hyperas)** (π¨βπ» 21 Β· π 300 Β· π¦ 190 Β· π 250 - 35% open Β· β±οΈ 02.10.2020):
+- [GitHub](https://github.com/maxpumperla/hyperas) (π¨βπ» 21 Β· π 300 Β· π¦ 190 Β· π 250 - 35% open Β· β±οΈ 02.10.2020):
```
git clone https://github.com/maxpumperla/hyperas
```
-- **[PyPi](https://pypi.org/project/hyperas)** (π₯ 15K / month Β· π¦ 21 Β· β±οΈ 28.02.2019):
+- [PyPi](https://pypi.org/project/hyperas) (π₯ 15K / month Β· π¦ 21 Β· β±οΈ 28.02.2019):
```
pip install hyperas
@@ -5934,12 +5934,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
BoTorch (π₯26 Β· β 1.8K) - Bayesian optimization in PyTorch. MIT
-- **[GitHub](https://github.com/pytorch/botorch)** (π¨βπ» 47 Β· π 170 Β· π¦ 68 Β· π 140 - 27% open Β· β±οΈ 12.12.2020):
+- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 47 Β· π 170 Β· π¦ 69 Β· π 140 - 27% open Β· β±οΈ 12.12.2020):
```
git clone https://github.com/pytorch/botorch
```
-- **[PyPi](https://pypi.org/project/botorch)** (π₯ 29K / month Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/botorch) (π₯ 29K / month Β· β±οΈ 08.12.2020):
```
pip install botorch
@@ -5947,12 +5947,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
SMAC3 (π₯26 Β· β 540) - Sequential Model-based Algorithm Configuration. BSD-3
-- **[GitHub](https://github.com/automl/SMAC3)** (π¨βπ» 30 Β· π 150 Β· π 330 - 23% open Β· β±οΈ 29.10.2020):
+- [GitHub](https://github.com/automl/SMAC3) (π¨βπ» 30 Β· π 150 Β· π 330 - 23% open Β· β±οΈ 29.10.2020):
```
git clone https://github.com/automl/SMAC3
```
-- **[PyPi](https://pypi.org/project/smac)** (π₯ 10K / month Β· π¦ 58 Β· β±οΈ 29.10.2020):
+- [PyPi](https://pypi.org/project/smac) (π₯ 10K / month Β· π¦ 58 Β· β±οΈ 29.10.2020):
```
pip install smac
@@ -5960,12 +5960,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoGluon (π₯25 Β· β 2.8K) - AutoGluon: AutoML for Text, Image, and Tabular Data. Apache-2
-- **[GitHub](https://github.com/awslabs/autogluon)** (π¨βπ» 50 Β· π 360 Β· π¦ 42 Β· π 360 - 40% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/awslabs/autogluon) (π¨βπ» 50 Β· π 370 Β· π¦ 42 Β· π 360 - 40% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/awslabs/autogluon
```
-- **[PyPi](https://pypi.org/project/autogluon)** (π₯ 9.1K / month Β· β±οΈ 14.12.2020):
+- [PyPi](https://pypi.org/project/autogluon) (π₯ 9K / month Β· β±οΈ 16.12.2020):
```
pip install autogluon
@@ -5973,12 +5973,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
nevergrad (π₯25 Β· β 2.7K) - A Python toolbox for performing gradient-free optimization. MIT
-- **[GitHub](https://github.com/facebookresearch/nevergrad)** (π¨βπ» 40 Β· π 260 Β· π¦ 100 Β· π 180 - 37% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 40 Β· π 260 Β· π¦ 100 Β· π 180 - 37% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/facebookresearch/nevergrad
```
-- **[PyPi](https://pypi.org/project/nevergrad)** (π₯ 7.4K / month Β· π¦ 14 Β· β±οΈ 10.12.2020):
+- [PyPi](https://pypi.org/project/nevergrad) (π₯ 7.5K / month Β· π¦ 14 Β· β±οΈ 10.12.2020):
```
pip install nevergrad
@@ -5986,12 +5986,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (π₯25 Β· β 1.3K) - Adaptive Experimentation Platform. MIT
-- **[GitHub](https://github.com/facebook/Ax)** (π¨βπ» 87 Β· π 140 Β· π¦ 110 Β· π 200 - 15% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 88 Β· π 140 Β· π¦ 110 Β· π 200 - 15% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/facebook/Ax
```
-- **[PyPi](https://pypi.org/project/ax-platform)** (π₯ 19K / month Β· π¦ 4 Β· β±οΈ 08.12.2020):
+- [PyPi](https://pypi.org/project/ax-platform) (π₯ 19K / month Β· π¦ 4 Β· β±οΈ 08.12.2020):
```
pip install ax-platform
@@ -5999,12 +5999,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
GPyOpt (π₯24 Β· β 700) - Gaussian Process Optimization using GPy. BSD-3
-- **[GitHub](https://github.com/SheffieldML/GPyOpt)** (π¨βπ» 49 Β· π 210 Β· π¦ 160 Β· π 290 - 34% open Β· β±οΈ 05.11.2020):
+- [GitHub](https://github.com/SheffieldML/GPyOpt) (π¨βπ» 49 Β· π 210 Β· π¦ 160 Β· π 290 - 34% open Β· β±οΈ 05.11.2020):
```
git clone https://github.com/SheffieldML/GPyOpt
```
-- **[PyPi](https://pypi.org/project/gpyopt)** (π₯ 5.6K / month Β· π¦ 36 Β· β±οΈ 19.03.2020):
+- [PyPi](https://pypi.org/project/gpyopt) (π₯ 5.6K / month Β· π¦ 36 Β· β±οΈ 19.03.2020):
```
pip install gpyopt
@@ -6012,51 +6012,51 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Talos (π₯23 Β· β 1.3K) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT
-- **[GitHub](https://github.com/autonomio/talos)** (π¨βπ» 19 Β· π 220 Β· π¦ 100 Β· π 380 - 10% open Β· β±οΈ 21.11.2020):
+- [GitHub](https://github.com/autonomio/talos) (π¨βπ» 19 Β· π 220 Β· π¦ 100 Β· π 380 - 10% open Β· β±οΈ 21.11.2020):
```
git clone https://github.com/autonomio/talos
```
-- **[PyPi](https://pypi.org/project/talos)** (π₯ 1.3K / month Β· π¦ 6 Β· β±οΈ 09.11.2020):
+- [PyPi](https://pypi.org/project/talos) (π₯ 1.3K / month Β· π¦ 6 Β· β±οΈ 09.11.2020):
```
pip install talos
```
AdaNet (π₯22 Β· β 3.2K) - Fast and flexible AutoML with learning guarantees. Apache-2
+Orion (π₯23 Β· β 180) - Asynchronous Distributed Hyperparameter Optimization. BSD-3
-- **[GitHub](https://github.com/tensorflow/adanet)** (π¨βπ» 26 Β· π 490 Β· π¦ 32 Β· π 110 - 58% open Β· β±οΈ 09.07.2020):
+- [GitHub](https://github.com/Epistimio/orion) (π¨βπ» 18 Β· π 35 Β· π¦ 39 Β· π 110 - 16% open Β· β±οΈ 04.12.2020):
```
- git clone https://github.com/tensorflow/adanet
+ git clone https://github.com/Epistimio/orion
```
-- **[PyPi](https://pypi.org/project/adanet)** (π₯ 870 / month Β· π¦ 2 Β· β±οΈ 09.07.2020):
+- [PyPi](https://pypi.org/project/orion) (π₯ 1.1K / month Β· π¦ 8 Β· β±οΈ 04.12.2020):
```
- pip install adanet
+ pip install orion
```
Orion (π₯22 Β· β 180) - Asynchronous Distributed Hyperparameter Optimization. BSD-3
+AdaNet (π₯22 Β· β 3.2K) - Fast and flexible AutoML with learning guarantees. Apache-2
-- **[GitHub](https://github.com/Epistimio/orion)** (π¨βπ» 18 Β· π 35 Β· π¦ 38 Β· π 110 - 16% open Β· β±οΈ 04.12.2020):
+- [GitHub](https://github.com/tensorflow/adanet) (π¨βπ» 26 Β· π 490 Β· π¦ 32 Β· π 110 - 57% open Β· β±οΈ 09.07.2020):
```
- git clone https://github.com/Epistimio/orion
+ git clone https://github.com/tensorflow/adanet
```
-- **[PyPi](https://pypi.org/project/orion)** (π₯ 1.1K / month Β· π¦ 8 Β· β±οΈ 04.12.2020):
+- [PyPi](https://pypi.org/project/adanet) (π₯ 860 / month Β· π¦ 2 Β· β±οΈ 09.07.2020):
```
- pip install orion
+ pip install adanet
```
Test Tube (π₯19 Β· β 640 Β· π€) - Python library to easily log experiments and parallelize hyperparameter search.. MIT
+Test Tube (π₯19 Β· β 640 Β· π€) - Python library to easily log experiments and parallelize.. MIT
-- **[GitHub](https://github.com/williamFalcon/test-tube)** (π¨βπ» 16 Β· π 59 Β· π₯ 7 Β· π 43 - 51% open Β· β±οΈ 17.03.2020):
+- [GitHub](https://github.com/williamFalcon/test-tube) (π¨βπ» 16 Β· π 59 Β· π₯ 7 Β· π 43 - 51% open Β· β±οΈ 17.03.2020):
```
git clone https://github.com/williamFalcon/test-tube
```
-- **[PyPi](https://pypi.org/project/test_tube)** (π₯ 8.5K / month Β· π¦ 5 Β· β±οΈ 12.12.2018):
+- [PyPi](https://pypi.org/project/test_tube) (π₯ 8.5K / month Β· π¦ 5 Β· β±οΈ 12.12.2018):
```
pip install test_tube
@@ -6064,72 +6064,72 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Dragonfly (π₯18 Β· β 550) - An open source python library for scalable Bayesian optimisation. MIT
-- **[GitHub](https://github.com/dragonfly/dragonfly)** (π¨βπ» 12 Β· π 72 Β· π 37 - 56% open Β· β±οΈ 03.07.2020):
+- [GitHub](https://github.com/dragonfly/dragonfly) (π¨βπ» 12 Β· π 72 Β· π 37 - 56% open Β· β±οΈ 03.07.2020):
```
git clone https://github.com/dragonfly/dragonfly
```
-- **[PyPi](https://pypi.org/project/dragonfly-opt)** (π₯ 4.2K / month Β· π¦ 2 Β· β±οΈ 03.07.2020):
+- [PyPi](https://pypi.org/project/dragonfly-opt) (π₯ 4.3K / month Β· π¦ 2 Β· β±οΈ 03.07.2020):
```
pip install dragonfly-opt
```
AlphaPy (π₯17 Β· β 520) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost,.. Apache-2
+AlphaPy (π₯17 Β· β 520) - Automated Machine Learning [AutoML] with Python, scikit-learn,.. Apache-2
-- **[GitHub](https://github.com/ScottfreeLLC/AlphaPy)** (π¨βπ» 3 Β· π 110 Β· π¦ 2 Β· π 39 - 25% open Β· β±οΈ 06.09.2020):
+- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (π¨βπ» 3 Β· π 110 Β· π¦ 2 Β· π 39 - 25% open Β· β±οΈ 06.09.2020):
```
git clone https://github.com/ScottfreeLLC/AlphaPy
```
-- **[PyPi](https://pypi.org/project/alphapy)** (π₯ 190 / month Β· β±οΈ 25.08.2020):
+- [PyPi](https://pypi.org/project/alphapy) (π₯ 190 / month Β· β±οΈ 25.08.2020):
```
pip install alphapy
```
HyperparameterHunter (π₯16 Β· β 630) - Easy hyperparameter optimization and automatic result saving across.. MIT
+HyperparameterHunter (π₯16 Β· β 630) - Easy hyperparameter optimization and automatic result.. MIT
-- **[GitHub](https://github.com/HunterMcGushion/hyperparameter_hunter)** (π¨βπ» 3 Β· π 77 Β· π₯ 240 Β· π 120 - 30% open Β· β±οΈ 21.10.2020):
+- [GitHub](https://github.com/HunterMcGushion/hyperparameter_hunter) (π¨βπ» 3 Β· π 77 Β· π₯ 240 Β· π 120 - 30% open Β· β±οΈ 21.10.2020):
```
git clone https://github.com/HunterMcGushion/hyperparameter_hunter
```
-- **[PyPi](https://pypi.org/project/hyperparameter-hunter)** (π₯ 100 / month Β· π¦ 1 Β· β±οΈ 06.08.2019):
+- [PyPi](https://pypi.org/project/hyperparameter-hunter) (π₯ 100 / month Β· π¦ 1 Β· β±οΈ 06.08.2019):
```
pip install hyperparameter-hunter
```
Auto Tune Models (π₯16 Β· β 500 Β· π€) - Auto Tune Models - A multi-tenant, multi-data system for automated.. MIT
+Auto Tune Models (π₯16 Β· β 500 Β· π€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT
-- **[GitHub](https://github.com/HDI-Project/ATM)** (π¨βπ» 16 Β· π 120 Β· π¦ 6 Β· π 88 - 19% open Β· β±οΈ 21.02.2020):
+- [GitHub](https://github.com/HDI-Project/ATM) (π¨βπ» 16 Β· π 120 Β· π¦ 6 Β· π 88 - 19% open Β· β±οΈ 21.02.2020):
```
git clone https://github.com/HDI-Project/ATM
```
-- **[PyPi](https://pypi.org/project/atm)** (π₯ 140 / month Β· β±οΈ 24.06.2019):
+- [PyPi](https://pypi.org/project/atm) (π₯ 140 / month Β· β±οΈ 24.06.2019):
```
pip install atm
```
Parfit (π₯15 Β· β 200 Β· π€) - A package for parallelizing the fit and flexibly scoring of sklearn machine.. MIT
+Parfit (π₯15 Β· β 200 Β· π€) - A package for parallelizing the fit and flexibly scoring of.. MIT
-- **[GitHub](https://github.com/jmcarpenter2/parfit)** (π¨βπ» 2 Β· π 26 Β· π¦ 6 Β· π 10 - 50% open Β· β±οΈ 04.04.2020):
+- [GitHub](https://github.com/jmcarpenter2/parfit) (π¨βπ» 2 Β· π 26 Β· π¦ 6 Β· π 10 - 50% open Β· β±οΈ 04.04.2020):
```
git clone https://github.com/jmcarpenter2/parfit
```
-- **[PyPi](https://pypi.org/project/parfit)** (π₯ 5K / month Β· β±οΈ 11.10.2018):
+- [PyPi](https://pypi.org/project/parfit) (π₯ 5.1K / month Β· β±οΈ 11.10.2018):
```
pip install parfit
```
ENAS (π₯14 Β· β 2.4K) - PyTorch implementation of Efficient Neural Architecture Search via Parameters.. Apache-2
+ENAS (π₯14 Β· β 2.4K) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2
-- **[GitHub](https://github.com/carpedm20/ENAS-pytorch)** (π¨βπ» 6 Β· π 440 Β· π 44 - 84% open Β· β±οΈ 16.06.2020):
+- [GitHub](https://github.com/carpedm20/ENAS-pytorch) (π¨βπ» 6 Β· π 440 Β· π 44 - 84% open Β· β±οΈ 16.06.2020):
```
git clone https://github.com/carpedm20/ENAS-pytorch
@@ -6137,21 +6137,21 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Devol (π₯11 Β· β 920) - Genetic neural architecture search with Keras. MIT
-- **[GitHub](https://github.com/joeddav/devol)** (π¨βπ» 18 Β· π 110 Β· π 27 - 25% open Β· β±οΈ 05.07.2020):
+- [GitHub](https://github.com/joeddav/devol) (π¨βπ» 18 Β· π 110 Β· π 27 - 25% open Β· β±οΈ 05.07.2020):
```
git clone https://github.com/joeddav/devol
```
Show 11 hidden projects...
-
TPOT (π₯27 Β· β 7.7K) - A Python Automated Machine Learning tool that optimizes machine learning.. βοΈLGPL-3.0
+
TPOT (π₯27 Β· β 7.7K) - A Python Automated Machine Learning tool that optimizes machine.. βοΈLGPL-3.0
-- **[GitHub](https://github.com/EpistasisLab/tpot)** (π¨βπ» 110 Β· π 1.3K Β· π¦ 740 Β· π 760 - 24% open Β· β±οΈ 14.12.2020):
+- [GitHub](https://github.com/EpistasisLab/tpot) (π¨βπ» 110 Β· π 1.3K Β· π¦ 740 Β· π 760 - 24% open Β· β±οΈ 14.12.2020):
```
git clone https://github.com/EpistasisLab/tpot
```
-- **[PyPi](https://pypi.org/project/tpot)** (π₯ 31K / month Β· π¦ 80 Β· β±οΈ 14.12.2020):
+- [PyPi](https://pypi.org/project/tpot) (π₯ 32K / month Β· π¦ 80 Β· β±οΈ 14.12.2020):
```
pip install tpot
@@ -6159,12 +6159,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
MLBox (π₯23 Β· β 1.2K) - MLBox is a powerful Automated Machine Learning python library. βοΈBSD-1-Clause
-- **[GitHub](https://github.com/AxeldeRomblay/MLBox)** (π¨βπ» 9 Β· π 240 Β· π¦ 18 Β· π 80 - 11% open Β· β±οΈ 25.08.2020):
+- [GitHub](https://github.com/AxeldeRomblay/MLBox) (π¨βπ» 9 Β· π 240 Β· π¦ 18 Β· π 81 - 12% open Β· β±οΈ 25.08.2020):
```
git clone https://github.com/AxeldeRomblay/MLBox
```
-- **[PyPi](https://pypi.org/project/mlbox)** (π₯ 6.4K / month Β· β±οΈ 25.08.2020):
+- [PyPi](https://pypi.org/project/mlbox) (π₯ 6.4K / month Β· β±οΈ 25.08.2020):
```
pip install mlbox
@@ -6172,12 +6172,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
auto_ml (π₯20 Β· β 1.5K Β· π) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT
-- **[GitHub](https://github.com/ClimbsRocks/auto_ml)** (π¨βπ» 13 Β· π 280 Β· π₯ 33 Β· π 390 - 45% open Β· β±οΈ 25.03.2018):
+- [GitHub](https://github.com/ClimbsRocks/auto_ml) (π¨βπ» 13 Β· π 280 Β· π₯ 33 Β· π 390 - 45% open Β· β±οΈ 25.03.2018):
```
git clone https://github.com/ClimbsRocks/auto_ml
```
-- **[PyPi](https://pypi.org/project/auto_ml)** (π₯ 2.1K / month Β· π¦ 1 Β· β±οΈ 22.02.2018):
+- [PyPi](https://pypi.org/project/auto_ml) (π₯ 2.2K / month Β· π¦ 1 Β· β±οΈ 22.02.2018):
```
pip install auto_ml
@@ -6185,69 +6185,69 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
HpBandSter (π₯19 Β· β 430 Β· π) - a distributed Hyperband implementation on Steroids. BSD-3
-- **[GitHub](https://github.com/automl/HpBandSter)** (π¨βπ» 10 Β· π 90 Β· π¦ 99 Β· π 87 - 60% open Β· β±οΈ 26.03.2019):
+- [GitHub](https://github.com/automl/HpBandSter) (π¨βπ» 10 Β· π 90 Β· π¦ 100 Β· π 87 - 60% open Β· β±οΈ 26.03.2019):
```
git clone https://github.com/automl/HpBandSter
```
-- **[PyPi](https://pypi.org/project/hpbandster)** (π₯ 6.6K / month Β· π¦ 16 Β· β±οΈ 24.10.2018):
+- [PyPi](https://pypi.org/project/hpbandster) (π₯ 6.6K / month Β· π¦ 16 Β· β±οΈ 24.10.2018):
```
pip install hpbandster
```
Sherpa (π₯19 Β· β 280) - Hyperparameter optimization that enables researchers to experiment, visualize,.. βοΈGPL-3.0
+Sherpa (π₯19 Β· β 280) - Hyperparameter optimization that enables researchers to experiment,.. βοΈGPL-3.0
-- **[GitHub](https://github.com/sherpa-ai/sherpa)** (π¨βπ» 41 Β· π 41 Β· π¦ 7 Β· π 52 - 21% open Β· β±οΈ 18.10.2020):
+- [GitHub](https://github.com/sherpa-ai/sherpa) (π¨βπ» 41 Β· π 41 Β· π¦ 7 Β· π 52 - 21% open Β· β±οΈ 18.10.2020):
```
git clone https://github.com/sherpa-ai/sherpa
```
-- **[PyPi](https://pypi.org/project/parameter-sherpa)** (π₯ 560 / month Β· π¦ 1 Β· β±οΈ 23.11.2019):
+- [PyPi](https://pypi.org/project/parameter-sherpa) (π₯ 580 / month Β· π¦ 1 Β· β±οΈ 23.11.2019):
```
pip install parameter-sherpa
```
Advisor (π₯17 Β· β 1.3K Β· π) - Open-source implementation of Google Vizier for hyper parameters tuning. Apache-2
+Advisor (π₯17 Β· β 1.3K Β· π) - Open-source implementation of Google Vizier for hyper.. Apache-2
-- **[GitHub](https://github.com/tobegit3hub/advisor)** (π¨βπ» 11 Β· π 240 Β· π 32 - 59% open Β· β±οΈ 11.11.2019):
+- [GitHub](https://github.com/tobegit3hub/advisor) (π¨βπ» 11 Β· π 240 Β· π 32 - 59% open Β· β±οΈ 11.11.2019):
```
git clone https://github.com/tobegit3hub/advisor
```
-- **[PyPi](https://pypi.org/project/advisor)** (π₯ 84 / month Β· β±οΈ 18.10.2018):
+- [PyPi](https://pypi.org/project/advisor) (π₯ 80 / month Β· β±οΈ 18.10.2018):
```
pip install advisor
```
-- **[Dockerhub](https://hub.docker.com/r/tobegit3hub/advisor)** (π₯ 1.5K Β· β±οΈ 11.11.2019):
+- [Dockerhub](https://hub.docker.com/r/tobegit3hub/advisor) (π₯ 1.5K Β· β±οΈ 11.11.2019):
```
docker pull tobegit3hub/advisor
```
automl-gs (π₯16 Β· β 1.7K Β· π) - Provide an input CSV and a target field to predict, generate a model + code to.. MIT
+automl-gs (π₯16 Β· β 1.7K Β· π) - Provide an input CSV and a target field to predict, generate a.. MIT
-- **[GitHub](https://github.com/minimaxir/automl-gs)** (π¨βπ» 7 Β· π 160 Β· π₯ 20 Β· π 32 - 81% open Β· β±οΈ 05.04.2019):
+- [GitHub](https://github.com/minimaxir/automl-gs) (π¨βπ» 7 Β· π 160 Β· π₯ 20 Β· π 32 - 81% open Β· β±οΈ 05.04.2019):
```
git clone https://github.com/minimaxir/automl-gs
```
-- **[PyPi](https://pypi.org/project/automl_gs)** (π₯ 40 / month Β· β±οΈ 05.04.2019):
+- [PyPi](https://pypi.org/project/automl_gs) (π₯ 39 / month Β· β±οΈ 05.04.2019):
```
pip install automl_gs
```
Xcessiv (π₯16 Β· β 1.3K Β· π) - A web-based application for quick, scalable, and automated hyperparameter.. Apache-2
+Xcessiv (π₯16 Β· β 1.3K Β· π) - A web-based application for quick, scalable, and automated.. Apache-2
-- **[GitHub](https://github.com/reiinakano/xcessiv)** (π¨βπ» 6 Β· π 100 Β· π¦ 1 Β· π 34 - 61% open Β· β±οΈ 21.08.2017):
+- [GitHub](https://github.com/reiinakano/xcessiv) (π¨βπ» 6 Β· π 100 Β· π¦ 1 Β· π 34 - 61% open Β· β±οΈ 21.08.2017):
```
git clone https://github.com/reiinakano/xcessiv
```
-- **[PyPi](https://pypi.org/project/xcessiv)** (π₯ 110 / month Β· π¦ 1 Β· β±οΈ 21.08.2017):
+- [PyPi](https://pypi.org/project/xcessiv) (π₯ 110 / month Β· π¦ 1 Β· β±οΈ 21.08.2017):
```
pip install xcessiv
@@ -6255,12 +6255,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Hypermax (π₯14 Β· β 94) - Better, faster hyper-parameter optimization. BSD-3
-- **[GitHub](https://github.com/electricbrainio/hypermax)** (π¨βπ» 9 Β· π 14 Β· π¦ 4 Β· π 4 - 75% open Β· β±οΈ 02.08.2020):
+- [GitHub](https://github.com/electricbrainio/hypermax) (π¨βπ» 9 Β· π 14 Β· π¦ 4 Β· π 4 - 75% open Β· β±οΈ 02.08.2020):
```
git clone https://github.com/electricbrainio/hypermax
```
-- **[PyPi](https://pypi.org/project/hypermax)** (π₯ 51 / month Β· β±οΈ 23.10.2019):
+- [PyPi](https://pypi.org/project/hypermax) (π₯ 51 / month Β· β±οΈ 23.10.2019):
```
pip install hypermax
@@ -6268,12 +6268,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Auptimizer (π₯13 Β· β 150) - An automatic ML model optimization tool. βοΈGPL-3.0
-- **[GitHub](https://github.com/LGE-ARC-AdvancedAI/auptimizer)** (π¨βπ» 11 Β· π 20 Β· β±οΈ 04.12.2020):
+- [GitHub](https://github.com/LGE-ARC-AdvancedAI/auptimizer) (π¨βπ» 11 Β· π 20 Β· β±οΈ 04.12.2020):
```
git clone https://github.com/LGE-ARC-AdvancedAI/auptimizer
```
-- **[PyPi](https://pypi.org/project/auptimizer)** (π₯ 140 / month Β· β±οΈ 19.11.2020):
+- [PyPi](https://pypi.org/project/auptimizer) (π₯ 140 / month Β· β±οΈ 19.11.2020):
```
pip install auptimizer
@@ -6281,12 +6281,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Hypertunity (π₯11 Β· β 120 Β· π€) - A toolset for black-box hyperparameter optimisation. Apache-2
-- **[GitHub](https://github.com/gdikov/hypertunity)** (π¨βπ» 2 Β· π 9 Β· π¦ 2 Β· β±οΈ 26.01.2020):
+- [GitHub](https://github.com/gdikov/hypertunity) (π¨βπ» 2 Β· π 9 Β· π¦ 2 Β· β±οΈ 26.01.2020):
```
git clone https://github.com/gdikov/hypertunity
```
-- **[PyPi](https://pypi.org/project/hypertunity)** (π₯ 46 / month Β· β±οΈ 26.01.2020):
+- [PyPi](https://pypi.org/project/hypertunity) (π₯ 45 / month Β· β±οΈ 26.01.2020):
```
pip install hypertunity
@@ -6301,92 +6301,92 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
_Libraries for building and evaluating reinforcement learning & agent-based systems._
-OpenAI Gym (π₯34 Β· β 23K) - A toolkit for developing and comparing reinforcement learning algorithms. MIT
+OpenAI Gym (π₯34 Β· β 23K) - A toolkit for developing and comparing reinforcement learning.. MIT
-- **[GitHub](https://github.com/openai/gym)** (π¨βπ» 270 Β· π 6.5K Β· π¦ 16K Β· π 1.3K - 16% open Β· β±οΈ 09.11.2020):
+- [GitHub](https://github.com/openai/gym) (π¨βπ» 270 Β· π 6.5K Β· π¦ 16K Β· π 1.3K - 16% open Β· β±οΈ 09.11.2020):
```
git clone https://github.com/openai/gym
```
-- **[PyPi](https://pypi.org/project/gym)** (π₯ 390K / month Β· π¦ 3.6K Β· β±οΈ 08.05.2020):
+- [PyPi](https://pypi.org/project/gym) (π₯ 380K / month Β· π¦ 3.6K Β· β±οΈ 08.05.2020):
```
pip install gym
```
TF-Agents (π₯27 Β· β 1.7K) - TF-Agents is a library for Reinforcement Learning in TensorFlow. Apache-2
+TF-Agents (π₯27 Β· β 1.7K) - TF-Agents is a library for Reinforcement Learning in.. Apache-2
-- **[GitHub](https://github.com/tensorflow/agents)** (π¨βπ» 83 Β· π 440 Β· π¦ 320 Β· π 390 - 23% open Β· β±οΈ 15.12.2020):
+- [GitHub](https://github.com/tensorflow/agents) (π¨βπ» 83 Β· π 440 Β· π¦ 320 Β· π 400 - 23% open Β· β±οΈ 15.12.2020):
```
git clone https://github.com/tensorflow/agents
```
-- **[PyPi](https://pypi.org/project/tf-agents)** (π₯ 6.5K / month Β· π¦ 6 Β· β±οΈ 17.11.2020):
+- [PyPi](https://pypi.org/project/tf-agents) (π₯ 6.5K / month Β· π¦ 6 Β· β±οΈ 15.12.2020):
```
pip install tf-agents
```
Dopamine (π₯26 Β· β 9.2K) - Dopamine is a research framework for fast prototyping of reinforcement.. Apache-2
+Dopamine (π₯26 Β· β 9.2K) - Dopamine is a research framework for fast prototyping of.. Apache-2
-- **[GitHub](https://github.com/google/dopamine)** (π¨βπ» 13 Β· π 1.2K Β· π 140 - 51% open Β· β±οΈ 24.11.2020):
+- [GitHub](https://github.com/google/dopamine) (π¨βπ» 13 Β· π 1.2K Β· π 140 - 51% open Β· β±οΈ 24.11.2020):
```
git clone https://github.com/google/dopamine
```
-- **[PyPi](https://pypi.org/project/dopamine-rl)** (π₯ 52K / month Β· π¦ 31 Β· β±οΈ 16.10.2020):
+- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 53K / month Β· π¦ 31 Β· β±οΈ 16.10.2020):
```
pip install dopamine-rl
```
TensorLayer (π₯26 Β· β 6.4K) - Deep Learning and Reinforcement Learning Library for Scientists and.. Apache-2
+TensorLayer (π₯26 Β· β 6.4K) - Deep Learning and Reinforcement Learning Library for.. Apache-2
-- **[GitHub](https://github.com/tensorlayer/tensorlayer)** (π¨βπ» 130 Β· π 1.4K Β· π₯ 1.2K Β· π 450 - 10% open Β· β±οΈ 29.10.2020):
+- [GitHub](https://github.com/tensorlayer/tensorlayer) (π¨βπ» 130 Β· π 1.4K Β· π₯ 1.2K Β· π 450 - 10% open Β· β±οΈ 29.10.2020):
```
git clone https://github.com/tensorlayer/tensorlayer
```
-- **[PyPi](https://pypi.org/project/tensorlayer)** (π₯ 2.8K / month Β· π¦ 68 Β· β±οΈ 19.06.2020):
+- [PyPi](https://pypi.org/project/tensorlayer) (π₯ 2.8K / month Β· π¦ 68 Β· β±οΈ 19.06.2020):
```
pip install tensorlayer
```
Stable Baselines (π₯25 Β· β 2.7K) - A fork of OpenAI Baselines, implementations of reinforcement learning.. MIT
+Stable Baselines (π₯25 Β· β 2.7K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT
-- **[GitHub](https://github.com/hill-a/stable-baselines)** (π¨βπ» 110 Β· π 540 Β· π 820 - 14% open Β· β±οΈ 12.10.2020):
+- [GitHub](https://github.com/hill-a/stable-baselines) (π¨βπ» 110 Β· π 540 Β· π 820 - 14% open Β· β±οΈ 12.10.2020):
```
git clone https://github.com/hill-a/stable-baselines
```
-- **[PyPi](https://pypi.org/project/stable-baselines)** (π₯ 8.5K / month Β· π¦ 25 Β· β±οΈ 05.08.2020):
+- [PyPi](https://pypi.org/project/stable-baselines) (π₯ 8.4K / month Β· π¦ 25 Β· β±οΈ 05.08.2020):
```
pip install stable-baselines
```
ViZDoom (π₯25 Β· β 1.1K) - Doom-based AI Research Platform for Reinforcement Learning from Raw Visual.. MIT
+ViZDoom (π₯25 Β· β 1.1K) - Doom-based AI Research Platform for Reinforcement Learning from Raw.. MIT
-- **[GitHub](https://github.com/mwydmuch/ViZDoom)** (π¨βπ» 43 Β· π 280 Β· π₯ 10K Β· π¦ 94 Β· π 410 - 21% open Β· β±οΈ 11.12.2020):
+- [GitHub](https://github.com/mwydmuch/ViZDoom) (π¨βπ» 43 Β· π 280 Β· π₯ 10K Β· π¦ 94 Β· π 410 - 21% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/mwydmuch/ViZDoom
```
-- **[PyPi](https://pypi.org/project/vizdoom)** (π₯ 530 / month Β· π¦ 12 Β· β±οΈ 29.10.2020):
+- [PyPi](https://pypi.org/project/vizdoom) (π₯ 520 / month Β· π¦ 12 Β· β±οΈ 29.10.2020):
```
pip install vizdoom
```
TensorForce (π₯24 Β· β 2.8K) - Tensorforce: a TensorFlow library for applied reinforcement learning. Apache-2
+TensorForce (π₯24 Β· β 2.8K) - Tensorforce: a TensorFlow library for applied.. Apache-2
-- **[GitHub](https://github.com/tensorforce/tensorforce)** (π¨βπ» 76 Β· π 470 Β· π 540 - 1% open Β· β±οΈ 06.12.2020):
+- [GitHub](https://github.com/tensorforce/tensorforce) (π¨βπ» 76 Β· π 470 Β· π 540 - 1% open Β· β±οΈ 06.12.2020):
```
git clone https://github.com/tensorforce/tensorforce
```
-- **[PyPi](https://pypi.org/project/tensorforce)** (π₯ 940 / month Β· π¦ 23 Β· β±οΈ 07.09.2019):
+- [PyPi](https://pypi.org/project/tensorforce) (π₯ 930 / month Β· π¦ 23 Β· β±οΈ 07.09.2019):
```
pip install tensorforce
@@ -6394,12 +6394,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Acme (π₯23 Β· β 1.8K) - A library of reinforcement learning components and agents. Apache-2
-- **[GitHub](https://github.com/deepmind/acme)** (π¨βπ» 29 Β· π 170 Β· π¦ 16 Β· π 80 - 46% open Β· β±οΈ 10.12.2020):
+- [GitHub](https://github.com/deepmind/acme) (π¨βπ» 29 Β· π 170 Β· π¦ 16 Β· π 80 - 46% open Β· β±οΈ 10.12.2020):
```
git clone https://github.com/deepmind/acme
```
-- **[PyPi](https://pypi.org/project/dm-acme)** (π₯ 580 / month Β· β±οΈ 24.07.2020):
+- [PyPi](https://pypi.org/project/dm-acme) (π₯ 590 / month Β· β±οΈ 24.07.2020):
```
pip install dm-acme
@@ -6407,25 +6407,25 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
garage (π₯23 Β· β 990) - A toolkit for reproducible reinforcement learning research. MIT
-- **[GitHub](https://github.com/rlworkgroup/garage)** (π¨βπ» 73 Β· π 180 Β· π¦ 13 Β· π 940 - 19% open Β· β±οΈ 07.12.2020):
+- [GitHub](https://github.com/rlworkgroup/garage) (π¨βπ» 73 Β· π 180 Β· π¦ 13 Β· π 940 - 19% open Β· β±οΈ 16.12.2020):
```
git clone https://github.com/rlworkgroup/garage
```
-- **[PyPi](https://pypi.org/project/garage)** (π₯ 300 / month Β· β±οΈ 02.10.2020):
+- [PyPi](https://pypi.org/project/garage) (π₯ 310 / month Β· β±οΈ 02.10.2020):
```
pip install garage
```
ChainerRL (π₯23 Β· β 920) - ChainerRL is a deep reinforcement learning library built on top of Chainer. MIT
+ChainerRL (π₯23 Β· β 920) - ChainerRL is a deep reinforcement learning library built on top of.. MIT
-- **[GitHub](https://github.com/chainer/chainerrl)** (π¨βπ» 29 Β· π 200 Β· π¦ 87 Β· π 220 - 33% open Β· β±οΈ 09.12.2020):
+- [GitHub](https://github.com/chainer/chainerrl) (π¨βπ» 29 Β· π 200 Β· π¦ 87 Β· π 220 - 33% open Β· β±οΈ 09.12.2020):
```
git clone https://github.com/chainer/chainerrl
```
-- **[PyPi](https://pypi.org/project/chainerrl)** (π₯ 920 / month Β· π¦ 14 Β· β±οΈ 14.02.2020):
+- [PyPi](https://pypi.org/project/chainerrl) (π₯ 920 / month Β· π¦ 14 Β· β±οΈ 14.02.2020):
```
pip install chainerrl
@@ -6433,59 +6433,59 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
TRFL (π₯20 Β· β 3.1K Β· π€) - TensorFlow Reinforcement Learning. Apache-2