Factual package intelligence from PyPI

experiment-audit 1.1.0 package intelligence

Scientific Research Reasoning Engine for ML experiments: claim/evidence review, contradiction detection, confidence scoring, and structured scientific reports. Includes an MCP server and CLI for W&B experiment auditing.

pip install experiment-audit

Current version
1.1.0
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
505.1 KiB
Release history
2 releases with files
Median release cadence
1 days

experiment-audit dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. fastmcp >=0.2.0
  2. wandb >=0.17.0

Compatibility and release files

experiment-audit publishes 1 wheel and 1 source archive for version 1.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12.

Security snapshot for experiment-audit 1.1.0

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 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .