Factual package intelligence from PyPI

hi-ml-cpath 0.5.2 package intelligence

Microsoft Health Futures package for deep learning on histopathology images

pip install hi-ml-cpath

Current version
0.5.2
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
250.6 KiB
Release history
21 releases with files
Median release cadence
14 days

hi-ml-cpath dependencies

PyPI declares 22 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. coloredlogs ==15.0.1
  2. cucim ==22.10.00
  3. girder-client ==3.1.14
  4. hi-ml
  5. ipykernel ==6.21.2
  6. lightning-bolts ==0.4.0
  7. monai-weekly ==1.2.dev2310
  8. more-itertools ==8.10.0
  9. numpy ==1.22.0
  10. pillow ==10.0.1
  11. pydicom ==2.3.0
  12. scikit-image ==0.19.3
  13. scipy ==1.10.0
  14. seaborn ==0.13.0
  15. simpleitk ==2.1.1.2
  16. tifffile ==2022.10.10
  17. timm ==0.6.12
  18. torch ==1.11
  19. torchmetrics ==0.10.2
  20. torchstain ==1.3.0
  21. umap-learn ==0.5.2
  22. yacs ==0.1.8

Compatibility and release files

hi-ml-cpath publishes 1 wheel and 1 source archive for version 0.5.2. Wheel platform tags: any.

Declared Python classifiers: 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 21 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .