Factual package intelligence from PyPI

torchxai-explain 0.3.0 package intelligence

Explainability and saliency maps for PyTorch vision models — GradCAM, EigenCAM, Attention Rollout for CNNs, Vision Transformers (ViT), CLIP, YOLO, DETR, DINO, and SAM. One-line API with auto-detection

pip install torchxai-explain

Current version
0.3.0
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
128.0 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

torchxai-explain dependencies

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

  1. torch >=2.0.0
  2. torchvision >=0.15.0
  3. numpy >=1.24.0
  4. Pillow >=9.0.0
  5. matplotlib >=3.7.0

The compact report shows 12 of 15 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

torchxai-explain publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.

Security snapshot for torchxai-explain 0.3.0

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 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .