Factual package intelligence from PyPI

omniage 0.99.5 package intelligence

The package provides a comprehensive Python framework for aging research. It offers high-level interfaces for calculating a vast suite of aging-related clocks and biomarkers.

pip install omniage

Current version
0.99.5
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
118.5 MiB
Release history
4 releases with files
Median release cadence
1 days

omniage dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib <4.0.0,>=3.8.0
  2. numpy <2.0.0
  3. pandas <3.0.0,>=2.2.0
  4. pyarrow >=14.0.0
  5. pypmml <2.0.0,>=0.9.0
  6. requests >=2.25.0
  7. scanpy <2.0.0,>=1.10.0
  8. scikit-learn <2.0.0,>=1.4.0
  9. scipy <2.0.0,>=1.10.0
  10. seaborn <0.14.0,>=0.13.0
  11. statannotations <0.8.0,>=0.7.0
  12. statsmodels <0.15.0,>=0.14.0

Compatibility and release files

omniage publishes 1 wheel and 1 source archive for version 0.99.5. Wheel platform tags: any.

Declared Python classifiers: 3.10, 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 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.