Factual package intelligence from PyPI

dacapo-ml 0.3.5 package intelligence

Framework for deployment of volumetric machine learning models, and easy composition of training jobs.

pip install dacapo-ml

Current version
0.3.5
Python requirement
>=3.10
License
BSD License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
3.4 MiB
Release history
3 releases with files
Median release cadence
118 days

dacapo-ml dependencies

PyPI declares 83 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. attrs
  2. bokeh
  3. boto3
  4. cattrs
  5. cellmap-models
  6. click
  7. daisy
  8. fibsem-tools <=6.3,>=6.0
  9. funlib-geometry >=0.2
  10. funlib-math >=0.1
  11. funlib-persistence >=0.5.3
  12. gunpowder >=1.4
  13. lazy-property
  14. lsds
  15. matplotlib
  16. mwatershed >=0.1
  17. neuroglancer
  18. numpy-indexed
  19. numpy-indexed >=0.3.7
  20. numpy >=1.22.4
  21. pymongo
  22. pyyaml
  23. scipy
  24. simpleitk
  25. torch

The compact report shows 25 of 83 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

dacapo-ml publishes 1 wheel and 1 source archive for version 0.3.5. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .