Factual package intelligence from PyPI

atom-ml 6.1.0 package intelligence

A Python package for fast exploration of machine learning pipelines

pip install atom-ml

Current version
6.1.0
Python requirement
<3.13,>=3.10
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
560.2 KiB
Release history
45 releases with files
Median release cadence
21 days

atom-ml dependencies

PyPI declares 43 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. beartype >=0.18.5
  2. category-encoders >=2.6.3
  3. dill >=0.3.6
  4. featuretools >=1.28.0
  5. gplearn >=0.4.2
  6. imbalanced-learn >=0.12.3
  7. ipython >=8.9.0
  8. ipywidgets >=8.1.1
  9. joblib >=1.3.1
  10. matplotlib >=3.7.2
  11. mlflow >=2.10.2
  12. nltk >=3.8.1
  13. numpy >=1.23.0
  14. optuna >=3.6.0
  15. pandas >=2.2.2
  16. plotly >=5.18.0
  17. scikit-learn >=1.5.0
  18. scipy >=1.10.1
  19. shap >=0.43.0
  20. sktime >=0.30.0
  21. statsmodels >=0.14.1
  22. zoofs >=0.1.25

The compact report shows 25 of 43 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

atom-ml publishes 1 wheel and 1 source archive for version 6.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Release activity and sources

PyPI lists 45 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .