Merge pull request #44 from deepmodeling/update/2024.05.30

Best-of update: 2024.05.30

Author: njzjz

README.md

@@ -46,16 +46,16 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 
 <details><summary><b><a href="https://github.com/deepmodeling/deepmd-kit">DeePMD-kit</a></b> (🥇28 ·  ⭐ 1.4K) - A deep learning package for many-body potential energy representation and molecular dynamics. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
 
-- [GitHub](https://github.com/deepmodeling/deepmd-kit) (👨‍💻 68 · 🔀 470 · 📥 36K · 📦 14 · 📋 690 - 13% open · ⏱️ 06.04.2024):
+- [GitHub](https://github.com/deepmodeling/deepmd-kit) (👨‍💻 68 · 🔀 470 · 📥 37K · 📦 14 · 📋 690 - 11% open · ⏱️ 06.04.2024):
 
 	```
 	git clone https://github.com/deepmodeling/deepmd-kit
 	```
-- [PyPi](https://pypi.org/project/deepmd-kit) (📥 1.3K / month):
+- [PyPi](https://pypi.org/project/deepmd-kit) (📥 1.1K / month):
 	```
 	pip install deepmd-kit
 	```
-- [Conda](https://anaconda.org/conda-forge/deepmd-kit) (📥 580K · ⏱️ 07.04.2024):
+- [Conda](https://anaconda.org/conda-forge/deepmd-kit) (📥 600K · ⏱️ 27.05.2024):
 	```
 	conda install -c conda-forge deepmd-kit
 	```
@@ -70,16 +70,16 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 </details>
 <details><summary><b><a href="https://github.com/deepmodeling/dpdata">dpdata</a></b> (🥇24 ·  ⭐ 180) - Manipulating multiple atomic simulation data formats, including DeePMD-kit, VASP, LAMMPS, ABACUS, etc. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
 
-- [GitHub](https://github.com/deepmodeling/dpdata) (👨‍💻 57 · 🔀 120 · 📦 120 · 📋 89 - 15% open · ⏱️ 03.04.2024):
+- [GitHub](https://github.com/deepmodeling/dpdata) (👨‍💻 57 · 🔀 120 · 📦 120 · 📋 91 - 17% open · ⏱️ 03.04.2024):
 
 	```
 	git clone https://github.com/deepmodeling/dpdata
 	```
-- [PyPi](https://pypi.org/project/dpdata) (📥 22K / month):
+- [PyPi](https://pypi.org/project/dpdata) (📥 30K / month):
 	```
 	pip install dpdata
 	```
-- [Conda](https://anaconda.org/conda-forge/dpdata) (📥 67K · ⏱️ 03.04.2024):
+- [Conda](https://anaconda.org/conda-forge/dpdata) (📥 68K · ⏱️ 03.04.2024):
 	```
 	conda install -c conda-forge dpdata
 	```
@@ -88,26 +88,26 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	docker pull dptechnology/dpdata
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/abacus-develop">ABACUS</a></b> (🥇24 ·  ⭐ 140) - An electronic structure package based on either plane wave basis or numerical atomic orbitals. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
+<details><summary><b><a href="https://github.com/deepmodeling/abacus-develop">ABACUS</a></b> (🥇24 ·  ⭐ 150) - An electronic structure package based on either plane wave basis or numerical atomic orbitals. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
 
-- [GitHub](https://github.com/deepmodeling/abacus-develop) (👨‍💻 120 · 🔀 120 · 📋 1.5K - 14% open · ⏱️ 23.05.2024):
+- [GitHub](https://github.com/deepmodeling/abacus-develop) (👨‍💻 120 · 🔀 120 · 📋 1.5K - 15% open · ⏱️ 30.05.2024):
 
 	```
 	git clone https://github.com/deepmodeling/abacus-develop
 	```
-- [Conda](https://anaconda.org/conda-forge/abacus) (📥 42K · ⏱️ 11.05.2024):
+- [Conda](https://anaconda.org/conda-forge/abacus) (📥 46K · ⏱️ 27.05.2024):
 	```
 	conda install -c conda-forge abacus
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/dpgen">DP-GEN</a></b> (🥇23 ·  ⭐ 280 · 📉) - The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
+<details><summary><b><a href="https://github.com/deepmodeling/dpgen">DP-GEN</a></b> (🥇23 ·  ⭐ 280) - The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
 
 - [GitHub](https://github.com/deepmodeling/dpgen) (👨‍💻 64 · 🔀 170 · 📥 1.7K · 📦 5 · 📋 280 - 9% open · ⏱️ 10.04.2024):
 
 	```
 	git clone https://github.com/deepmodeling/dpgen
 	```
-- [PyPi](https://pypi.org/project/dpgen) (📥 430 / month):
+- [PyPi](https://pypi.org/project/dpgen) (📥 410 / month):
 	```
 	pip install dpgen
 	```
@@ -118,43 +118,43 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 </details>
 <details><summary><b><a href="https://github.com/deepmodeling/dpdispatcher">dpdispatcher</a></b> (🥈22 ·  ⭐ 40) - generate HPC scheduler systems jobs input scripts and submit these scripts to HPC systems and poke until they finish. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
 
-- [GitHub](https://github.com/deepmodeling/dpdispatcher) (👨‍💻 44 · 🔀 52 · 📦 47 · 📋 70 - 22% open · ⏱️ 14.05.2024):
+- [GitHub](https://github.com/deepmodeling/dpdispatcher) (👨‍💻 46 · 🔀 53 · 📦 47 · 📋 70 - 21% open · ⏱️ 29.05.2024):
 
 	```
 	git clone https://github.com/deepmodeling/dpdispatcher
 	```
-- [PyPi](https://pypi.org/project/dpdispatcher) (📥 2.1K / month):
+- [PyPi](https://pypi.org/project/dpdispatcher) (📥 2.4K / month):
 	```
 	pip install dpdispatcher
 	```
-- [Conda](https://anaconda.org/conda-forge/dpdispatcher) (📥 8.4K · ⏱️ 21.01.2024):
+- [Conda](https://anaconda.org/conda-forge/dpdispatcher) (📥 8.7K · ⏱️ 21.01.2024):
 	```
 	conda install -c conda-forge dpdispatcher
 	```
-- [Docker Hub](https://hub.docker.com/r/dptechnology/dpdispatcher) (📥 96K · ⏱️ 21.01.2024):
+- [Docker Hub](https://hub.docker.com/r/dptechnology/dpdispatcher) (📥 97K · ⏱️ 27.05.2024):
 	```
 	docker pull dptechnology/dpdispatcher
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/reacnetgenerator">reacnetgenerator</a></b> (🥈20 ·  ⭐ 61 · 📉) - an automatic reaction network generator for reactive molecular dynamics simulation. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
+<details><summary><b><a href="https://github.com/deepmodeling/reacnetgenerator">reacnetgenerator</a></b> (🥈20 ·  ⭐ 61) - an automatic reaction network generator for reactive molecular dynamics simulation. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
 
 - [GitHub](https://github.com/deepmodeling/reacnetgenerator) (👨‍💻 18 · 🔀 35 · 📋 120 - 3% open · ⏱️ 17.05.2024):
 
 	```
 	git clone https://github.com/deepmodeling/reacnetgenerator
 	```
-- [PyPi](https://pypi.org/project/reacnetgenerator) (📥 1.5K / month):
+- [PyPi](https://pypi.org/project/reacnetgenerator) (📥 1.3K / month):
 	```
 	pip install reacnetgenerator
 	```
-- [Conda](https://anaconda.org/conda-forge/reacnetgenerator) (📥 300K · ⏱️ 10.05.2024):
+- [Conda](https://anaconda.org/conda-forge/reacnetgenerator) (📥 310K · ⏱️ 10.05.2024):
 	```
 	conda install -c conda-forge reacnetgenerator
 	```
 </details>
 <details><summary><b><a href="https://github.com/deepmodeling/dflow">dflow</a></b> (🥈18 ·  ⭐ 54) - Dflow is a Python framework for constructing scientific computing workflows (e.g. concurrent learning workflows).. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
 
-- [GitHub](https://github.com/deepmodeling/dflow) (👨‍💻 22 · 🔀 23 · 📋 35 - 40% open · ⏱️ 23.05.2024):
+- [GitHub](https://github.com/deepmodeling/dflow) (👨‍💻 22 · 🔀 23 · 📋 35 - 40% open · ⏱️ 30.05.2024):
 
 	```
 	git clone https://github.com/deepmodeling/dflow
@@ -167,19 +167,19 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	```
 	conda install -c conda-forge dflow
 	```
-- [Docker Hub](https://hub.docker.com/r/dptechnology/dflow) (📥 3.3K · ⏱️ 23.05.2024):
+- [Docker Hub](https://hub.docker.com/r/dptechnology/dflow) (📥 3.3K · ⏱️ 30.05.2024):
 	```
 	docker pull dptechnology/dflow
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/DeePTB">DeePTB</a></b> (🥈17 ·  ⭐ 31) - DeePTB: A deep learning package for tight-binding approach with ab initio accuracy. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
+<details><summary><b><a href="https://github.com/deepmodeling/DeePTB">DeePTB</a></b> (🥈17 ·  ⭐ 32) - DeePTB: A deep learning package for tight-binding approach with ab initio accuracy. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
 
-- [GitHub](https://github.com/deepmodeling/DeePTB) (👨‍💻 9 · 🔀 12 · 📋 32 - 25% open · ⏱️ 22.05.2024):
+- [GitHub](https://github.com/deepmodeling/DeePTB) (👨‍💻 9 · 🔀 12 · 📋 33 - 27% open · ⏱️ 29.05.2024):
 
 	```
 	git clone https://github.com/deepmodeling/DeePTB
 	```
-- [PyPi](https://pypi.org/project/dptb) (📥 180 / month):
+- [PyPi](https://pypi.org/project/dptb) (📥 160 / month):
 	```
 	pip install dptb
 	```
@@ -191,7 +191,7 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	```
 	git clone https://github.com/deepmodeling/dargs
 	```
-- [PyPi](https://pypi.org/project/dargs) (📥 40K / month):
+- [PyPi](https://pypi.org/project/dargs) (📥 54K / month):
 	```
 	pip install dargs
 	```
@@ -215,35 +215,19 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	```
 	git clone https://github.com/deepmodeling/rid-kit
 	```
-- [PyPi](https://pypi.org/project/rid-kit) (📥 270 / month):
+- [PyPi](https://pypi.org/project/rid-kit) (📥 260 / month):
 	```
 	pip install rid-kit
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/dpgen2">DPGEN2</a></b> (🥈15 ·  ⭐ 29) - 2nd generation of the Deep Potential GENerator. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
-
-- [GitHub](https://github.com/deepmodeling/dpgen2) (👨‍💻 13 · 🔀 22 · 📦 2 · 📋 29 - 41% open · ⏱️ 17.05.2024):
-
-	```
-	git clone https://github.com/deepmodeling/dpgen2
-	```
-- [PyPi](https://pypi.org/project/dpgen2) (📥 69 / month):
-	```
-	pip install dpgen2
-	```
-- [Docker Hub](https://hub.docker.com/r/dptechnology/dpgen2) (📥 2.4K · ⏱️ 17.05.2024):
-	```
-	docker pull dptechnology/dpgen2
-	```
-</details>
 <details><summary><b><a href="https://github.com/deepmodeling/APEX">APEX</a></b> (🥈15 ·  ⭐ 19) - APEX: Alloy Properties EXplorer using simulations. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
 
-- [GitHub](https://github.com/deepmodeling/APEX) (👨‍💻 6 · 🔀 15 · 📋 5 - 20% open · ⏱️ 06.05.2024):
+- [GitHub](https://github.com/deepmodeling/APEX) (👨‍💻 6 · 🔀 15 · 📋 6 - 16% open · ⏱️ 06.05.2024):
 
 	```
 	git clone https://github.com/deepmodeling/APEX
 	```
-- [PyPi](https://pypi.org/project/apex-flow) (📥 290 / month):
+- [PyPi](https://pypi.org/project/apex-flow) (📥 450 / month):
 	```
 	pip install apex-flow
 	```
@@ -255,19 +239,35 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	```
 	git clone https://github.com/deepmodeling/dpgui
 	```
-- [PyPi](https://pypi.org/project/dpgui) (📥 22K / month):
+- [PyPi](https://pypi.org/project/dpgui) (📥 30K / month):
 	```
 	pip install dpgui
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/jax-fem">JAX-FEM</a></b> (🥈13 ·  ⭐ 160 · 📉) - Differentiable Finite Element Method with JAX. <code><a href="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
+<details><summary><b><a href="https://github.com/deepmodeling/dpgen2">DPGEN2</a></b> (🥈14 ·  ⭐ 29 · 📉) - 2nd generation of the Deep Potential GENerator. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
+
+- [GitHub](https://github.com/deepmodeling/dpgen2) (👨‍💻 13 · 🔀 22 · 📦 2 · 📋 30 - 40% open · ⏱️ 29.05.2024):
+
+	```
+	git clone https://github.com/deepmodeling/dpgen2
+	```
+- [PyPi](https://pypi.org/project/dpgen2) (📥 52 / month):
+	```
+	pip install dpgen2
+	```
+- [Docker Hub](https://hub.docker.com/r/dptechnology/dpgen2) (📥 2.4K · ⏱️ 29.05.2024):
+	```
+	docker pull dptechnology/dpgen2
+	```
+</details>
+<details><summary><b><a href="https://github.com/deepmodeling/jax-fem">JAX-FEM</a></b> (🥈13 ·  ⭐ 170) - Differentiable Finite Element Method with JAX. <code><a href="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
 
 - [GitHub](https://github.com/deepmodeling/jax-fem) (👨‍💻 7 · 🔀 29 · 📋 22 - 77% open · ⏱️ 17.05.2024):
 
 	```
 	git clone https://github.com/deepmodeling/jax-fem
 	```
-- [PyPi](https://pypi.org/project/jax-fem) (📥 100 / month):
+- [PyPi](https://pypi.org/project/jax-fem) (📥 74 / month):
 	```
 	pip install jax-fem
 	```
@@ -279,7 +279,7 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	```
 	git clone https://github.com/deepmodeling/DMFF
 	```
-- [Conda](https://anaconda.org/conda-forge/dmff) (📥 330 · ⏱️ 06.01.2024):
+- [Conda](https://anaconda.org/conda-forge/dmff) (📥 360 · ⏱️ 06.01.2024):
 	```
 	conda install -c conda-forge dmff
 	```
@@ -291,14 +291,14 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	```
 	git clone https://github.com/deepmodeling/deepmodeling_sphinx
 	```
-- [PyPi](https://pypi.org/project/deepmodeling_sphinx) (📥 2.6K / month):
+- [PyPi](https://pypi.org/project/deepmodeling_sphinx) (📥 3K / month):
 	```
 	pip install deepmodeling_sphinx
 	```
 </details>
 <details><summary><b><a href="https://github.com/deepmodeling/args">args</a></b> (🥉12 ·  ⭐ 2) - DeepModeling dargs arguments generation. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
 
-- [GitHub](https://github.com/deepmodeling/args) (👨‍💻 3 · 🔀 2 · 📦 5 · ⏱️ 11.04.2024):
+- [GitHub](https://github.com/deepmodeling/args) (👨‍💻 3 · 🔀 2 · 📦 5 · ⏱️ 28.05.2024):
 
 	```
 	git clone https://github.com/deepmodeling/args
@@ -316,14 +316,14 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	git clone https://github.com/deepmodeling/deepks-kit
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/fealpy">fealpy</a></b> (🥉10 ·  ⭐ 2 · 📉) - Finite Element Analysis Library in Python. <code>Unlicensed</code></summary>
+<details><summary><b><a href="https://github.com/deepmodeling/fealpy">fealpy</a></b> (🥉10 ·  ⭐ 2) - Finite Element Analysis Library in Python. <code>Unlicensed</code></summary>
 
 - [GitHub](https://github.com/deepmodeling/fealpy) (👨‍💻 57 · 🔀 2 · ⏱️ 24.04.2024):
 
 	```
 	git clone https://github.com/deepmodeling/fealpy
 	```
-- [PyPi](https://pypi.org/project/fealpy) (📥 130 / month):
+- [PyPi](https://pypi.org/project/fealpy) (📥 78 / month):
 	```
 	pip install fealpy
 	```
@@ -335,19 +335,19 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	```
 	git clone https://github.com/deepmodeling/Uni-Fold
 	```
-- [Docker Hub](https://hub.docker.com/r/dptechnology/unifold) (📥 610 · ⏱️ 08.01.2024):
+- [Docker Hub](https://hub.docker.com/r/dptechnology/unifold) (📥 620 · ⏱️ 08.01.2024):
 	```
 	docker pull dptechnology/unifold
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/dpti">dpti</a></b> (🥉8 ·  ⭐ 19 · 📉) - A Python Package to Automate Thermodynamic Integration Calculations for Free Energy. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
+<details><summary><b><a href="https://github.com/deepmodeling/dpti">dpti</a></b> (🥉8 ·  ⭐ 19) - A Python Package to Automate Thermodynamic Integration Calculations for Free Energy. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
 
 - [GitHub](https://github.com/deepmodeling/dpti) (👨‍💻 16 · 🔀 20 · ⏱️ 13.04.2024):
 
 	```
 	git clone https://github.com/deepmodeling/dpti
 	```
-- [PyPi](https://pypi.org/project/dpti) (📥 16 / month):
+- [PyPi](https://pypi.org/project/dpti) (📥 15 / month):
 	```
 	pip install dpti
 	```
@@ -360,6 +360,18 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	git clone https://github.com/deepmodeling/blog
 	```
 </details>
+<details><summary><b><a href="https://github.com/deepmodeling/fpop">fpop</a></b> (🥉8 ·  ⭐ 1 · 📈) -  <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
+
+- [GitHub](https://github.com/deepmodeling/fpop) (👨‍💻 3 · 🔀 8 · 📦 5 · ⏱️ 28.02.2024):
+
+	```
+	git clone https://github.com/deepmodeling/fpop
+	```
+- [PyPi](https://pypi.org/project/fpop) (📥 1K / month):
+	```
+	pip install fpop
+	```
+</details>
 <details><summary><b><a href="https://github.com/deepmodeling/community">community</a></b> (🥉7 ·  ⭐ 77) - DeepModeling community content. <code>Unlicensed</code></summary>
 
 - [GitHub](https://github.com/deepmodeling/community) (👨‍💻 15 · 🔀 18 · ⏱️ 29.03.2024):
@@ -368,7 +380,7 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	git clone https://github.com/deepmodeling/community
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/tbplas">tbplas</a></b> (🥉7 ·  ⭐ 5 · 🐣) - Repository of TBPLaS (tight-binding package for large-scale simulation). <code>Unlicensed</code></summary>
+<details><summary><b><a href="https://github.com/deepmodeling/tbplas">tbplas</a></b> (🥉7 ·  ⭐ 6 · 🐣) - Repository of TBPLaS (tight-binding package for large-scale simulation). <code>Unlicensed</code></summary>
 
 - [GitHub](https://github.com/deepmodeling/tbplas) (👨‍💻 10 · 🔀 3 · ⏱️ 17.01.2024):
 
@@ -384,18 +396,6 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
 	git clone https://github.com/deepmodeling/docs
 	```
 </details>
-<details><summary><b><a href="https://github.com/deepmodeling/fpop">fpop</a></b> (🥉7 ·  ⭐ 1) -  <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
-
-- [GitHub](https://github.com/deepmodeling/fpop) (👨‍💻 3 · 🔀 8 · 📦 5 · ⏱️ 28.02.2024):
-
-	```
-	git clone https://github.com/deepmodeling/fpop
-	```
-- [PyPi](https://pypi.org/project/fpop) (📥 920 / month):
-	```
-	pip install fpop
-	```
-</details>
 <details><summary><b><a href="https://github.com/deepmodeling/AI4Science101">AI4Science101</a></b> (🥉6 ·  ⭐ 82 · 💤) - AI for Science. <code>Unlicensed</code></summary>
 
 - [GitHub](https://github.com/deepmodeling/AI4Science101) (👨‍💻 5 · 🔀 13 · ⏱️ 04.09.2022):

history/2024-05-30_changes.md

@@ -0,0 +1,12 @@
+## 📈 Trending Up
+
+_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._
+
+- <b><a href="https://github.com/deepmodeling/fpop">fpop</a></b> (🥉8 ·  ⭐ 1 · 📈) -  <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code>
+
+## 📉 Trending Down
+
+_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._
+
+- <b><a href="https://github.com/deepmodeling/dpgen2">DPGEN2</a></b> (🥈14 ·  ⭐ 29 · 📉) - 2nd generation of the Deep Potential GENerator. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code>
+