Factual package intelligence from PyPI

pureml-policy 0.2.4 package intelligence

PyPI does not currently provide a summary for pureml-policy.

pip install pureml-policy

Current version
0.2.4
Python requirement
<3.13,>=3.9
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
21.3 KiB
Release history
6 releases with files
Median release cadence
2 days

pureml-policy dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scikit-learn <2.0.0,>=1.2.2
  2. fairlearn <0.9.0,>=0.8.0
  3. joblib <2.0.0,>=1.2.0
  4. daisy <2.0,>=1.0
  5. scipy <2.0.0,>=1.9.1 when python_version >= "3.9" and python_version < "3.12"
  6. pandas <3.0.0,>=2.2.0
  7. reportlab <5.0.0,>=4.0.4
  8. seaborn <0.13.0,>=0.12.2
  9. PyPDF2 <4.0.0,>=3.0.1
  10. pydantic <3.0.0,>=2.5.3
  11. plotly <6.0.0,>=5.18.0
  12. pureml ==0.4.6
  13. pureml-evaluate ==0.1.6
  14. requests_toolbelt <2.0.0,>=1.0.0
  15. structlog <25.0.0,>=24.1.0

Compatibility and release files

pureml-policy publishes 1 wheel and 1 source archive for version 0.2.4. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 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.