Factual package intelligence from PyPI

tabnado 0.1.0 package intelligence

PyPI does not currently provide a summary for tabnado.

pip install tabnado

Current version
0.1.0
Python requirement
<3.13,>=3.12
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
713.1 KiB
Release history
2 releases with files
Median release cadence
28 days

tabnado dependencies

PyPI declares 29 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. einops ==0.8.2
  2. llvmlite ==0.47.0
  3. loguru ==0.7.3
  4. omegaconf ==2.3.0
  5. scikit-base ==1.0.0
  6. matplotlib <4,>=3.10
  7. numba ==0.65.1
  8. numpy <=2.2.6,>=2
  9. pandas
  10. pyranges1 ==1.3.8
  11. pyyaml
  12. quantnado >=0.4.4
  13. scikit-learn ==1.8.0
  14. scipy ==1.17.1
  15. seaborn ==0.13.2
  16. shap ==0.51.0
  17. torch ==2.11.0
  18. pytorch-lightning <2.7.0,>=2.0.0
  19. torchmetrics <1.9.0,>=0.10.0
  20. umap-learn ==0.5.12
  21. tensorboard
  22. wandb ==0.26.1
  23. wandb-workspaces ==0.3.9
  24. xgboost >=2.0.0
  25. joblib

The compact report shows 25 of 29 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

tabnado publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: meaningful summary, license, project URL. 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 .

The project does not publish external project URLs in its PyPI metadata.