Factual package intelligence from PyPI

mlstatreport 0.1.3 package intelligence

Statistical reporting engine for machine-learning benchmark experiments.

pip install mlstatreport

Current version
0.1.3
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
147.0 KiB
Release history
3 releases with files
Median release cadence
0 days

mlstatreport dependencies

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

  1. numpy <2.3,>=1.26
  2. scipy <1.16,>=1.11
  3. pandas <2.4,>=2.1
  4. matplotlib <3.11,>=3.8
  5. openpyxl >=3.1
  6. jinja2 >=3.1
  7. fastapi >=0.110
  8. uvicorn >=0.27
  9. typer >=0.12
  10. pydantic >=2.6
  11. python-multipart >=0.0.9

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

Compatibility and release files

mlstatreport publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for mlstatreport 0.1.3

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 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 .