Factual package intelligence from PyPI

outboxml 0.10.1 package intelligence

Framework for ML and DS: Automating pipelines from training to deployment

pip install outboxml

Current version
0.10.1
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
284.4 KiB
Release history
4 releases with files
Median release cadence
58 days

outboxml dependencies

PyPI declares 32 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. catboost ==1.2.8
  2. shap ==0.50.0
  3. loguru ==0.7.2
  4. scikit-learn ==1.7.2
  5. pydantic ==2.12.4
  6. statsmodels ==0.14.5
  7. pyarrow ==22.0.0
  8. SQLAlchemy >=2.0.31
  9. plotly ==5.22.0
  10. kaleido ==0.2.1
  11. mlflow ==3.6.0
  12. pandas ==2.3.3
  13. polars ==1.35.0
  14. numpy ==2.3.5
  15. environs >=11.0.0
  16. pretty_html_table ==0.9.16
  17. optbinning ==0.20.0
  18. ortools ==9.15.6755

The compact report shows 18 of 32 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

outboxml publishes 1 wheel and 1 source archive for version 0.10.1. Wheel platform tags: any.

Declared Python classifiers: 3.11.

Metadata completeness

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

Release activity and sources

PyPI lists 4 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.