Factual package intelligence from PyPI

brisk-ml 1.2.0 package intelligence

A framework that helps train machine learning models using sklearn.

pip install brisk-ml

Current version
1.2.0
Python requirement
<4.0,>3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.0 MiB
Release history
8 releases with files
Median release cadence
54 days

brisk-ml dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scikit-learn <2.0.0,>=1.5.1
  2. pandas <3.0.0,>=2.2.3
  3. matplotlib <4.0.0,>=3.9.2
  4. jinja2 <4.0.0,>=3.1.4
  5. tqdm <5.0.0,>=4.66.5
  6. click <9.0.0,>=8.1.7
  7. seaborn <0.14.0,>=0.13.2
  8. joblib <2.0.0,>=1.4.2
  9. numpy <3.0.0,>=2.1.2
  10. toml <0.11.0,>=0.10.2
  11. plotnine <0.15.0,>=0.14.4
  12. openpyxl <4.0.0,>=3.1.5
  13. pydantic <3.0.0,>=2.11.7
  14. plotly <7.0.0,>=6.1.0
  15. kaleido <2.0.0,>=1.0.0
  16. shap <0.49.0,>=0.48.0
  17. fonttools >4.60.2
  18. orjson <=3.11.4
  19. pillow >=12.1.1

Compatibility and release files

brisk-ml publishes 1 wheel and 1 source archive for version 1.2.0. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13, 3.14.

Metadata completeness

PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 8 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.