Factual package intelligence from PyPI

mamut 0.3.0 package intelligence

Transparent tabular classification workflows with model-selection evidence

pip install mamut

Current version
0.3.0
Python requirement
<3.13,>=3.12
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.8 MiB
Release history
6 releases with files
Median release cadence
13 days

mamut dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. catboost <2.0.0,>=1.2.10
  2. imbalanced-learn <0.14.0,>=0.13.0
  3. jinja2 <4.0.0,>=3.0.2
  4. joblib <2.0.0,>=1.4.2
  5. lightgbm <5.0.0,>=4.6.0
  6. matplotlib <4.0.0,>=3.10.0
  7. numpy <2.1.0,>=2.0.0
  8. optuna <5.0.0,>=4.1.0
  9. pandas <3.0.0,>=2.2.3
  10. psutil <7.0.0,>=6.1.1
  11. scikit-learn ==1.5.2
  12. scipy <2.0.0,>=1.15.0
  13. seaborn <0.14.0,>=0.13.2
  14. shap <0.47.0,>=0.46.0
  15. xgboost ==2.1.3

Compatibility and release files

mamut publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.12.

Release activity and sources

PyPI lists 6 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 .