Factual package intelligence from PyPI

XplainML 0.0.1 package intelligence

XplainML is a comprehensive Python package designed for Explainable AI (XAI) and Responsible AI practices. It provides a suite of tools and algorithms to enhance the transparency, interpretability, and fairness of machine learning models.

pip install xplainml

Current version
0.0.1
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
11.2 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

XplainML dependencies

PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas
  2. numpy
  3. scikit-learn
  4. shap
  5. lime
  6. aif360
  7. fairlearn
  8. seaborn
  9. matplotlib
  10. scikit-image

Compatibility and release files

XplainML publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.

Declared Python classifiers: 3.7, 3.8, 3.9.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .