Factual package intelligence from PyPI

modeldoctor 0.1.0 package intelligence

A production-grade ML model diagnostic framework — behaves like a senior ML engineer reviewing your model

pip install modeldoctor

Current version
0.1.0
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
23.7 MiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

modeldoctor dependencies

PyPI declares 29 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. jinja2 >=3.0
  2. numpy >=1.21
  3. pandas >=1.3
  4. pydantic >=2.0
  5. pyyaml >=6.0
  6. rich >=13.0
  7. scikit-learn >=1.1
  8. scipy >=1.7
  9. typing-extensions >=4.5 when python_version < "3.11"

The compact report shows 12 of 29 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

modeldoctor publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.

Security snapshot for modeldoctor 0.1.0

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 1 release 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 .