Factual package intelligence from PyPI

menelaus 0.2.0 package intelligence

This library implements algorithms for detecting data drift and concept drift for ML and statistics applications.

pip install menelaus

Current version
0.2.0
Python requirement
Not declared
License
Apache 2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.6 MiB
Release history
3 releases with files
Median release cadence
92 days

menelaus dependencies

PyPI declares 34 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. joblib
  2. numpy >=1.22.0
  3. pandas
  4. scipy
  5. scikit-learn

The compact report shows 18 of 34 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

menelaus publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

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 .