Package data summary

mlflow-skinny 3.15.1 package intelligence

MLflow is an open source platform for the complete machine learning lifecycle

pip install mlflow-skinny

Current version
3.15.1
Python requirement
>=3.10
License
Apache Software License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
6.3 MiB
Release history
144 releases with files
Median release cadence
9 days

mlflow-skinny dependencies

PyPI declares 59 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. cachetools <8,>=5.0.0
  2. click <9,>=7.0
  3. cloudpickle <4
  4. databricks-sdk <1,>=0.20.0
  5. fastapi <1
  6. gitpython <4,>=3.1.9
  7. importlib_metadata !=4.7.0,<10,>=3.7.0
  8. opentelemetry-api <3,>=1.9.0
  9. opentelemetry-proto <3,>=1.9.0
  10. opentelemetry-sdk <3,>=1.9.0
  11. packaging <27
  12. protobuf <8,>=3.12.0

The compact report shows 12 of 59 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mlflow-skinny publishes 1 wheel and 1 source archive for version 3.15.1. Wheel platform tags: any.

Declared Python classifiers: 3.10.

Security snapshot for mlflow-skinny 3.15.1

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.

Packages that depend on mlflow-skinny

deps.dev reports 56 direct and 738 total known dependents for version 3.15.1, checked on .

Release activity and sources

PyPI lists 144 releases with files. The first dated release is ; 36 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

5 historical releases are fully yanked in PyPI metadata.