Factual package intelligence from PyPI

ivadomed 2.9.10 package intelligence

Feature conditioning for IVADO medical imaging project.

pip install ivadomed

Current version
2.9.10
Python requirement
>=3.7,<3.11
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
422.0 KiB
Release history
35 releases with files
Median release cadence
23 days

ivadomed dependencies

PyPI declares 70 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. csv-diff >=1.0
  2. loguru ~=0.5
  3. imageio >=2.31.4
  4. joblib ~=1.0
  5. matplotlib >=3.3.0
  6. nibabel ~=5.2
  7. onnx
  8. onnxruntime !=1.16.0,>=1.7.0
  9. pandas <2.0,>=1.1
  10. pybids <0.15.6,>=0.14.0
  11. scikit-learn >=0.20.3
  12. scikit-image ~=0.17
  13. seaborn ~=0.11
  14. tensorboard >=1.15.0
  15. tqdm >=4.30
  16. scipy
  17. torchio >=0.18.68
  18. torch >=1.8.1

The compact report shows 18 of 70 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

ivadomed publishes 1 wheel and 1 source archive for version 2.9.10. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 35 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .