Factual package intelligence from PyPI

driftradar-vision 0.1.0 package intelligence

Vision drift monitoring with Great Expectations + Evidently + MLflow (Milestone A: DQ gates).

pip install driftradar-vision

Current version
0.1.0
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
85.1 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

driftradar-vision dependencies

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

  1. torch >=2.3
  2. torchvision >=0.18
  3. numpy >=1.26
  4. pandas >=2.2
  5. pillow >=10.3
  6. opencv-python >=4.9
  7. albumentations >=1.4
  8. scikit-learn >=1.4
  9. hydra-core >=1.3
  10. omegaconf >=2.3
  11. rich >=13.7
  12. structlog >=24.1
  13. tqdm >=4.66
  14. mlflow >=2.14
  15. evidently >=0.5.0
  16. great-expectations >=0.18
  17. jinja2 >=3.1
  18. pyarrow >=15.0
  19. polars >=1.6
  20. matplotlib >=3.8
  21. plotly >=5.22

The compact report shows 25 of 30 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

driftradar-vision publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

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 .

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