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
| 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 |
| 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 |
| 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 |
| 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 |