Factual package intelligence from PyPI

jori-autoprognosis 0.2.5 package intelligence

Test

pip install jori-autoprognosis

Current version
0.2.5
Python requirement
Not declared
License
Apache-2.0 license
Distribution type
Includes compiled wheel
Release files
2 (2 wheels, 0 source)
Download size
541.8 KiB
Release history
3 releases with files
Median release cadence
2 days

jori-autoprognosis dependencies

PyPI declares 40 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=1.10
  2. numpy >=1.20
  3. pandas <2.0,>=1.3
  4. scikit-learn >=1.0
  5. scipy >=1.3.2
  6. shap >=0.40.0
  7. optuna ==3.1.0
  8. hyperimpute >=0.1.16
  9. statsmodels
  10. pyod
  11. pydantic
  12. seaborn
  13. matplotlib
  14. cloudpickle
  15. lifelines
  16. loguru
  17. redis
  18. joblib

The compact report shows 18 of 40 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

jori-autoprognosis publishes 2 wheels and 0 source archives for version 0.2.5. Wheel platform tags: any, macosx_10_14_x86_64.

No version-specific Python classifiers are declared.

Metadata completeness

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

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 .