Factual package intelligence from PyPI

bnnr 0.6.5 package intelligence

BNNR: XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

pip install bnnr

Current version
0.6.5
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
15.2 MiB
Release history
43 releases with files
Median release cadence
1 days

bnnr dependencies

PyPI declares 30 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. click <9.0,>=8.0.0
  2. grad-cam <2.0,>=1.5.4
  3. numpy <3.0,>=1.24.0
  4. opencv-python <6.0,>=4.8.0
  5. pydantic <3.0,>=2.0.0
  6. pyyaml <7.0,>=6.0.0
  7. scikit-learn <2.0,>=1.3.0
  8. torch <3.0,>=2.10.0
  9. torchvision <1.0,>=0.15.0
  10. tqdm <5.0,>=4.65.0
  11. typer <1.0,>=0.9.0

The compact report shows 12 of 30 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

bnnr publishes 1 wheel and 1 source archive for version 0.6.5. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for bnnr 0.6.5

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 43 releases with files. The first dated release is ; 43 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .