With the popularity of scikit-learn many projects follow a similar API to ensure compatibility. The developers of scikit-learn recognize this trend and list various related projects: Related projects, scikit-learn-contrib, scikit-learn-contrib repo.
I have found a few projects both on and off the list from SciKit’s official aggregation.
Below is my list of just the differences from the above venn diagram:
- ml-insights
- metric-learn
- scikit-multiflow
- feature_engine
- pdpipe
- pymc-learn
- fancyimpute
- autoimpute
- pulearn
Finally the full list of projects:
- imbalanced-learn
- scikit-multilearn
- mlxtend
- sklearn-onnx
- scikit-lego
- feature_engine
- fancyimpute
- pulearn
- pymc-learn
- pdpipe
- sklearn_pandas
- metric-learn
- scikit-multiflow
- ml-insights
- yellowbrick
- autoimpute
- scikit-optimize