Factual package intelligence from PyPI

EmpiricML 0.2.1 package intelligence

Python framework for building robust tabular machine learning models faster and easier

pip install empiricml

Current version
0.2.1
Python requirement
>=3.11
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
93.6 KiB
Release history
3 releases with files
Median release cadence
22 days

EmpiricML dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.26.4
  2. pandas >=2.2.2
  3. pyarrow >=15.0.2
  4. polars >=1.31.0
  5. matplotlib >=3.9.0
  6. scikit-learn >=1.7.1
  7. lightgbm >=4.6.0
  8. xgboost >=3.1.2
  9. catboost >=1.2.8

Compatibility and release files

EmpiricML publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 3 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 .