Factual package intelligence from PyPI

sbyb 0.1.1 package intelligence

A comprehensive ML library that unifies the entire ML pipeline

pip install sbyb

Current version
0.1.1
Python requirement
>=3.8
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
440.3 KiB
Release history
2 releases with files
Median release cadence
0 days

sbyb dependencies

PyPI declares 42 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.20.0
  2. pandas >=1.3.0
  3. scikit-learn >=1.0.0
  4. matplotlib >=3.4.0
  5. seaborn >=0.11.0
  6. plotly >=5.0.0
  7. streamlit >=1.10.0
  8. dash >=2.0.0
  9. flask >=2.0.0
  10. fastapi >=0.70.0
  11. uvicorn >=0.15.0
  12. shap >=0.40.0
  13. lime >=0.2.0
  14. eli5 >=0.11.0
  15. onnx >=1.10.0
  16. onnxruntime >=1.8.0
  17. tensorflow >=2.8.0
  18. torch >=1.10.0
  19. xgboost >=1.5.0
  20. lightgbm >=3.3.0
  21. catboost >=1.0.0
  22. optuna >=2.10.0
  23. hyperopt >=0.2.5
  24. pyyaml >=6.0
  25. tqdm >=4.62.0

The compact report shows 25 of 42 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

sbyb publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.8, 3.9.

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 .