Factual package intelligence from PyPI

shortkit-ml 0.1.0 package intelligence

ShortKIT-ML: A toolkit for detecting shortcuts and biases in embedding spaces

pip install shortkit-ml

Current version
0.1.0
Python requirement
<3.13,>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
585.9 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

shortkit-ml dependencies

PyPI declares 66 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <2.0.0,>=1.24.0
  2. pandas <3.0.0,>=2.0.0
  3. scikit-learn <2.0.0,>=1.3.0
  4. scipy <2.0.0,>=1.11.0
  5. statsmodels <1.0.0,>=0.14.0
  6. matplotlib <4.0.0,>=3.7.0
  7. seaborn <1.0.0,>=0.12.0
  8. joblib <2.0.0,>=1.3.0
  9. torch <2.3.0,>=2.2.0
  10. torchvision <0.18.0,>=0.17.0
  11. openpyxl <4.0.0,>=3.1.0
  12. gradio >=5.0.0

The compact report shows 12 of 66 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

shortkit-ml publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

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 .