Factual package intelligence from PyPI

octopus-automl 0.5.3 package intelligence

An Auto-ML framework optimized for small datasets

pip install octopus-automl

Current version
0.5.3
Python requirement
<=3.14,>=3.12
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.2 MiB
Release history
5 releases with files
Median release cadence
1 days

octopus-automl dependencies

PyPI declares 60 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. attrs >=25.3.0
  2. catboost >=1.2.8
  3. networkx >=3.5
  4. numpy >=2.2
  5. optuna >=4.5
  6. pandas <3,>=2.3
  7. ray <3,>=2.52
  8. rapidfuzz >=3.14
  9. scikit-learn <2,>=1.7.0
  10. shap >=0.51
  11. torch <3,>=2.0
  12. xgboost >=3.0
  13. fsspec >=2025.10.0
  14. universal_pathlib >=0.3.6
  15. pyarrow >=17.0.0

The compact report shows 25 of 60 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

octopus-automl publishes 1 wheel and 1 source archive for version 0.5.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .