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ECL bundles repository

This repository serves as a central list of all known ECL bundles.

Bundles listed here fall into four categories:

Machine Learning bundles
are maintained by the HPCC platform team, and tested against each release. See https://hpccsystems.com/download/free-modules/machine-learning-library for additional information.
Supported bundles
are maintained by the HPCC platform team, and tested against each release.
Approved bundles
are maintained by external contributors, but have passed initial review and testing by the HPCC platform team and thus should be considered stable and safe to use, and should remain compatible across platform versions
Other bundles
are created and maintained by external contributors, and have not been approved by the platform team. Use at your own risk

If you have developed a bundle that you would like to add to any of these lists, create a pull request against this file to add your bundle's repository to the appropriate list.

For more information about how to create an Ecl bundle, see the Ecl Bundle Writer's Guide.

To install a bundle to your development machine, use the ecl command line tool:

ecl bundle install <bundle_url>.git

For complete details, see the Client Tools Manual, available in the download section of hpccsystems.com

Machine Learning bundles

ML_Core Machine Learning core bundle https://github.com/hpcc-systems/ML_Core
PBblas Parallel BLAS support for machine learning https://github.com/hpcc-systems/PBblas
LinearRegression Ordinary Least Squares Linear Regression https://github.com/hpcc-systems/LinearRegression
GaussianProcessRegression RFF-accelerated Gaussian Process Regression https://github.com/hpcc-systems/GaussianProcessRegression.git
LogisticRegression Logistic Regression classification https://github.com/hpcc-systems/LogisticRegression
GLM General Linear Model https://github.com/hpcc-systems/GLM
SupportVectorMachines Support Vector Machines https://github.com/hpcc-systems/SupportVectorMachines
LearningTrees Random forest classification and regression https://github.com/hpcc-systems/LearningTrees
Generalized Neural Networks Parallelized interace to Keras / Tensorflow https://github.com/hpcc-systems/GNN
K-Means Unsupervised Clustering Algorith https://github.com/hpcc-systems/KMeans
DBSCAN Unsupervised Density-based Clustering Algorithm https://github.com/hpcc-systems/dbscan
Text Vectors Unsupervised vectorization of words, phrases, and sentences https://github.com/hpcc-systems/TextVectors

Supported bundles

DataPatterns Data profiling tool https://github.com/hpcc-systems/DataPatterns
PerformanceTesting Performance test suite https://github.com/hpcc-systems/PerformanceTesting
Visualizer HPCC Visualizations support https://github.com/hpcc-systems/Visualizer

Approved bundles

Bloom Bloom filter support https://github.com/hpcc-systems/Bloom
CellFormatter Format ECL data for display https://github.com/hpcc-systems/CellFormatter
DataMgmt Generational data mgmt; live ROXIE query updates https://github.com/hpcc-systems/DataMgmt
MySqlImport Import schemas from MySQL https://github.com/hpcc-systems/MySqlImport
StringMatch Various string matching algorithms https://github.com/hpcc-systems/StringMatch
Trigram Trigram manipulation https://github.com/hpcc-systems/Trigram

Other bundles

FinanceLibrary Commonly used financial operations https://github.com/JamesDeFabia/FinanceLibrary
PrefixTree Improves Levenshtein edit distance performance https://github.com/Charles-Kaminski/PrefixTree
File_Management Manages the promotion of a set of files https://github.com/johnholt/File_Management
Dapper Turns verbose ECL calls into simple verbs https://github.com/OdinProAgrica/dapper
Sassy ECL helper for SAS calls https://github.com/lpezet/SASsy
DataPull Inter-cluster data replication https://github.com/dcamper/DataPull
GPU-Deep-Learning GPU Accelerated Deep Learning https://github.com/hpcc-systems/GPU-Deep-Learning

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