Factual package intelligence from PyPI

tabtune 0.1.18 package intelligence

TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models

pip install tabtune

Current version
0.1.18
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
8.8 MiB
Release history
12 releases with files
Median release cadence
17 days

tabtune dependencies

PyPI declares 50 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.7.0
  2. transformers <5.0.0,>=4.56.0
  3. scikit-learn >=1.6.0
  4. pandas <2.4.0,>=2.2.0
  5. pyzmq <28.0.0,>=25.0.0
  6. numpy <3.0.0,>=1.26.0
  7. joblib >=1.0.0
  8. openml >=0.12.0
  9. tqdm >=4.60.0
  10. category_encoders >=2.0.0
  11. imbalanced-learn >=0.8.0
  12. sentence-transformers <3.0.0,>=2.0.0

The compact report shows 12 of 50 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

tabtune publishes 1 wheel and 1 source archive for version 0.1.18. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for tabtune 0.1.18

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 12 releases with files. The first dated release is ; 12 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .