Factual package intelligence from PyPI

cans-framework 3.1.4 package intelligence

A production-ready deep learning framework for causal inference on structured, textual, and heterogeneous data

pip install cans-framework

Current version
3.1.4
Python requirement
>=3.8
License
Other/Proprietary License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
269.6 KiB
Release history
6 releases with files
Median release cadence
0 days

cans-framework dependencies

PyPI declares 55 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.0.0
  2. transformers >=4.38.0
  3. torch-geometric >=2.3.0
  4. scikit-learn >=1.3.0
  5. pandas >=2.0.0
  6. numpy >=1.24.0
  7. tqdm >=4.66.0
  8. networkx >=3.1
  9. matplotlib >=3.7.0
  10. seaborn >=0.12.0
  11. plotly >=5.15.0
  12. scipy >=1.11.0
  13. statsmodels >=0.14.0
  14. PyYAML >=6.0
  15. fastapi >=0.100.0
  16. uvicorn >=0.23.0
  17. pydantic >=2.0.0
  18. requests >=2.31.0
  19. passlib >=1.7.0
  20. PyJWT >=2.8.0

The compact report shows 25 of 55 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

cans-framework publishes 1 wheel and 1 source archive for version 3.1.4. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .