Factual package intelligence from PyPI

applybn 0.1.4 package intelligence

PyPI does not currently provide a summary for applybn.

pip install applybn

Current version
0.1.4
Python requirement
<4.0,>=3.11
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
422.8 KiB
Release history
5 releases with files
Median release cadence
1 days

applybn dependencies

PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. bamt <2.0.0,>=1.3.0
  2. bayesian-optimization <3.0.0,>=2.0.3
  3. econml ==0.15.1
  4. imbalanced-learn <0.14.0,>=0.13.0
  5. jpype1 <2.0.0,>=1.5.2
  6. numpy <2.0.0,>=1.26.4
  7. opencv-python ==4.11.0.86
  8. pandas <3.0.0,>=2.0.0
  9. pytest ==7.4.4
  10. pytest-cov ==4.1.0
  11. pytest-mock
  12. rich <14.0.0,>=13.0.0
  13. scikit-learn <2.0.0,>=1.5.0
  14. scipy ==1.14.1
  15. setuptools ==75.6.0
  16. statsmodels <0.15.0,>=0.14.0
  17. torch <=2.8.1,>=2.7.0
  18. torchvision ==0.22.0

Compatibility and release files

applybn publishes 1 wheel and 1 source archive for version 0.1.4. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13, 3.14.

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 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

3 historical releases are fully yanked in PyPI metadata.

The project does not publish external project URLs in its PyPI metadata.