Factual package intelligence from PyPI

phenonaut 2.0.5 package intelligence

A toolkit for multiomic phenotypic space exploration.

pip install phenonaut

Current version
2.0.5
Python requirement
>=3.10
License
Apache Software License
Distribution type
No wheel classification available
Release files
1 (0 wheels, 1 source)
Download size
228.8 KiB
Release history
12 releases with files
Median release cadence
12 days

phenonaut dependencies

PyPI declares 32 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy ==1.26
  2. pandas >=2.2.0
  3. scikit-learn >=1.4.0
  4. scipy >=1.13.0
  5. torch >=2.2.1
  6. fire >=0.5.0
  7. tqdm >=4.60.0
  8. openpyxl >=3.1.1
  9. optuna >=3.6.1
  10. h5py >=3.6.0
  11. matplotlib >=3.8.4
  12. seaborn >=0.13.2
  13. tables >=3.7.0
  14. umap-learn >=0.5.6
  15. rbo >=0.1.2
  16. python-pptx >=0.6
  17. requests
  18. mvlearn ==0.4.1
  19. torchvision
  20. torchaudio
  21. numba >=0.59.0
  22. llvmlite >=0.41.0
  23. ipykernel
  24. ipywidgets
  25. tensorboard

The compact report shows 25 of 32 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

phenonaut publishes 0 wheels and 1 source archive for version 2.0.5. Wheel platform tags: No wheel platform tags.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 12 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 .