Factual package intelligence from PyPI

mercury-explainability 1.2.3 package intelligence

Mercury's explainability is a library with implementations of different state-of-the-art methods in the field of explainability

pip install mercury-explainability

Current version
1.2.3
Python requirement
>=3.7
License
Apache Software License
Distribution type
No wheel classification available
Release files
1 (0 wheels, 1 source)
Download size
3.1 MiB
Release history
5 releases with files
Median release cadence
288 days

mercury-explainability dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas
  2. numpy
  3. bokeh
  4. simanneal
  5. shap
  6. dill
  7. Cython
  8. graphviz

The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mercury-explainability publishes 0 wheels and 1 source archive for version 1.2.3. Wheel platform tags: No wheel platform tags.

No version-specific Python classifiers are declared.

Security snapshot for mercury-explainability 1.2.3

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .