Factual package intelligence from PyPI

tabnetics 1.1.0 package intelligence

HDLSS-focused tabular learning toolkit with distribution-aware preprocessing, portfolio feature selection, and game-theoretic method aggregation.

pip install tabnetics

Current version
1.1.0
Python requirement
>=3.11
License
Apache Software License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
2.6 MiB
Release history
11 releases with files
Median release cadence
1 days

tabnetics dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=2.4.2
  2. pandas >=3.0.1
  3. scipy >=1.17.1
  4. scikit-learn >=1.8.0
  5. boruta >=0.4.3
  6. catboost >=1.2.10
  7. datasets >=4.6.1
  8. flaml >=2.5.0
  9. lightgbm >=4.6.0
  10. mapie >=1.3.0
  11. optuna >=4.0.0
  12. pytabkit >=1.7.3
  13. pyvinecopulib >=0.7.5
  14. shap >=0.46.0
  15. statsmodels >=0.14.4
  16. threadpoolctl >=3.6.0
  17. torch >=2.10.0
  18. tqdm >=4.67.3
  19. xgboost >=3.2.0

Compatibility and release files

tabnetics publishes 1 wheel and 1 source archive for version 1.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13.

Release activity and sources

PyPI lists 11 releases with files. The first dated release is ; 11 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

3 historical releases are fully yanked in PyPI metadata.