Factual package intelligence from PyPI

faircare 0.3.0 package intelligence

Healthcare AI Fairness Auditing — responsible AI governance for clinical ML models

pip install faircare

Current version
0.3.0
Python requirement
>=3.10
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
647.9 KiB
Release history
3 releases with files
Median release cadence
49 days

faircare dependencies

PyPI declares 35 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. altair <7.0.0,>=5.2.0
  2. click <9.0.0,>=8.1.0
  3. great-tables <1.0.0,>=0.3.0
  4. jinja2 <4.0.0,>=3.1.0
  5. joblib <2.0.0,>=1.3.0
  6. numpy <3.0.0,>=1.26.0
  7. plotly <7.0.0,>=5.18.0
  8. polars <2.0.0,>=0.20.0
  9. pyarrow <24.0.0,>=14.0.0
  10. rich <15.0.0,>=13.0.0
  11. scikit-learn <2.0.0,>=1.3.0
  12. scipy <2.0.0,>=1.11.0

The compact report shows 12 of 35 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

faircare publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for faircare 0.3.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .