Factual package intelligence from PyPI

vitaminp 0.3.2 package intelligence

Cell and nucleus segmentation for whole slide images (H&E and MIF)

pip install vitaminp

Current version
0.3.2
Python requirement
>=3.8
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
5.2 MiB
Release history
5 releases with files
Median release cadence
0 days

vitaminp dependencies

PyPI declares 42 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 >=1.20.0
  4. scipy >=1.8.0
  5. Pillow >=9.0.0
  6. tqdm >=4.60.0
  7. matplotlib >=3.5.0
  8. pandas >=1.3.0
  9. scikit-learn >=0.23.0
  10. pydantic >=2.0.0
  11. PyYAML >=5.4.0
  12. requests >=2.25.0
  13. packaging >=21.0
  14. sympy >=1.10.0
  15. networkx >=2.4
  16. filelock >=3.0.0
  17. timm >=0.9.0

The compact report shows 18 of 42 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

vitaminp publishes 1 wheel and 1 source archive for version 0.3.2. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .