Factual package intelligence from PyPI

featurecraft 1.0.0 package intelligence

Automatic feature engineering, insights, and sklearn pipelines for tabular ML with optional time-series support.

pip install featurecraft

Current version
1.0.0
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
333.4 KiB
Release history
3 releases with files
Median release cadence
2 days

featurecraft dependencies

PyPI declares 30 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. anthropic >=0.18
  2. category-encoders >=2.6
  3. imbalanced-learn >=0.10
  4. jinja2 >=3.1
  5. joblib >=1.3
  6. matplotlib >=3.9.0
  7. numpy >=1.23
  8. openai >=1.0
  9. pandas >=1.5
  10. pandera >=0.17
  11. pillow >=10.0.0
  12. pydantic >=2.5
  13. rich >=13.3
  14. scikit-learn >=1.3
  15. scipy >=1.10
  16. shap >=0.44
  17. tiktoken >=0.5
  18. typer >=0.9

The compact report shows 25 of 30 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

featurecraft publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 .