Factual package intelligence from PyPI

deepclustering 0.0.3 package intelligence

PyPI does not currently provide a summary for deepclustering.

pip install deepclustering

Current version
0.0.3
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
494.0 KiB
Release history
2 releases with files
Median release cadence
160 days

deepclustering dependencies

PyPI declares 23 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. msgpack
  2. numpy
  3. torch
  4. torchvision
  5. Pillow
  6. scikit-learn
  7. behave
  8. requests
  9. scikit-image
  10. pandas
  11. easydict
  12. matplotlib
  13. tqdm ==4.32.2
  14. py ==1.8.0
  15. pytest-remotedata ==0.3.1
  16. tensorboardX
  17. tensorboard
  18. opencv-python

The compact report shows 18 of 23 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

deepclustering publishes 1 wheel and 1 source archive for version 0.0.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 2 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 .