Factual package intelligence from PyPI

mlloop 0.0.4 package intelligence

A scientific-method harness for AI-driven ML training: experiment ledger, hypothesis gates, diagnostics, and data-verdict reports over MCP.

pip install mlloop

Current version
0.0.4
Python requirement
>=3.11
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
162.6 KiB
Release history
4 releases with files
Median release cadence
0 days

mlloop dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. cleanlab >=2.6
  2. fastapi >=0.110
  3. matplotlib >=3.8
  4. mcp >=1.2
  5. numpy >=1.24
  6. pandas >=2.0
  7. pyarrow >=14
  8. scikit-learn >=1.3
  9. shap >=0.46
  10. uvicorn >=0.27

Compatibility and release files

mlloop publishes 1 wheel and 1 source archive for version 0.0.4. Wheel platform tags: any.

Declared Python classifiers: 3.11.

Security snapshot for mlloop 0.0.4

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 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .