Factual package intelligence from PyPI

scikit-rank 0.1.0 package intelligence

Scikit-learn-Compatible Neural Ranking Models for Tabular Recommender Systems

pip install scikit-rank

Current version
0.1.0
Python requirement
<3.14,>=3.12
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
617.8 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

scikit-rank dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. accelerate >=1.14.0
  2. einops >=0.8.2
  3. muon-optimizer >=0.1.0
  4. numpy >=2.4.6
  5. pandas >=3.0.3
  6. polars >=1.41.2
  7. pyarrow >=19.0.0
  8. pytorch-ignite >=0.5.4
  9. schedulefree >=1.4.1
  10. scikit-learn >=1.8.0
  11. scipy >=1.17.1
  12. torch >=2.12.0
  13. tqdm >=4.68.2

Compatibility and release files

scikit-rank publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for scikit-rank 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.

Metadata completeness

PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.

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 .

The project does not publish external project URLs in its PyPI metadata.