Factual package intelligence from PyPI

polygraph-benchmark 1.1.0 package intelligence

Evaluation benchmarks for graph generative models

pip install polygraph-benchmark

Current version
1.1.0
Python requirement
>=3.9
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
181.5 KiB
Release history
5 releases with files
Median release cadence
4 days

polygraph-benchmark dependencies

PyPI declares 42 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <3.0,>=1.26.4
  2. torch <3.0,>=2.4.0
  3. torch_geometric <3.0,>=2.6.1
  4. rich
  5. scipy <2.0,>=1.12.0
  6. pydantic <3.0,>=2.0
  7. networkx <4.0,>=3.2
  8. joblib
  9. appdirs
  10. loguru
  11. rdkit
  12. pandas
  13. orbit-count
  14. numba <0.62.0,>=0.60.0
  15. scikit-learn <2.0,>=1.6.1
  16. tabpfn >=2.0.9
  17. fcd ~=1.2.2
  18. tqdm

The compact report shows 25 of 42 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

polygraph-benchmark publishes 1 wheel and 1 source archive for version 1.1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

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