Factual package intelligence from PyPI

autorad 0.2.6 package intelligence

Radiomics-related modules for extraction and experimenting

pip install autorad

Current version
0.2.6
Python requirement
>=3.9
License
Apache 2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
143.7 KiB
Release history
12 releases with files
Median release cadence
7 days

autorad dependencies

PyPI declares 38 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pyradiomics ==3.0.1
  2. scikit-learn ==1.2.0
  3. SimpleITK ==2.1.1.2
  4. pandas ==1.4.2
  5. scipy ==1.9
  6. pyyaml ==6.0
  7. statsmodels ==0.13.2
  8. mlflow ==2.0.1
  9. nibabel ==3.2.1
  10. matplotlib ==3.5
  11. xnat ==0.4.2
  12. tqdm ==4.62.3
  13. pqdm >=0.2.0
  14. Boruta ==0.3
  15. xgboost ==1.6.0
  16. imbalanced-learn ==0.9.1
  17. optuna ==2.10.0
  18. plotly ==5.5
  19. shap ==0.41
  20. scikit-image ==0.19

The compact report shows 25 of 38 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

autorad publishes 1 wheel and 1 source archive for version 0.2.6. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 12 releases with files. The first dated release is ; 12 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .