Factual package intelligence from PyPI

hypertorch 0.1.10 package intelligence

HyperTorch is a library for hypergraph learning and benchmarking. It provides a standardized workflow for loading hypergraph datasets, training models, evaluating them under comparable settings, and r

pip install hypertorch

Current version
0.1.10
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
345.7 KiB
Release history
6 releases with files
Median release cadence
1 days

hypertorch dependencies

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

  1. fastjsonschema <3.0.0,>=2.21.2
  2. huggingface-hub <2.0.0,>=1.16.4
  3. lightning <3.0.0,>=2.6.1
  4. numpy <3.0.0,>=2.2.6 when python_full_version < "3.11"
  5. numpy <3.0.0,>=2.4.4 when python_full_version >= "3.11"
  6. pyg-lib <1.0.0,>=0.6.0 when (sys_platform == "linux" and platform_machine == "x86_64") or (sys_platform == "win32" and platform_machine == "AMD64") or (sys_platform == "darwin" and platfor
  7. requests <3.0.0,>=2.34.2
  8. torch <2.12.0,>=2.11.0 when sys_platform == "linux" and platform_machine == "aarch64"
  9. torch <2.13.0,>=2.12.0 when (sys_platform == "linux" and platform_machine == "x86_64") or (sys_platform == "win32" and platform_machine == "AMD64") or (sys_platform == "darwin" and platfor
  10. torch-geometric <2.8.0,>=2.7.0
  11. torch-cluster <2.0.0,>=1.6.3 when sys_platform == "linux" and platform_machine == "aarch64"
  12. zstandard <1.0.0,>=0.25.0

The compact report shows 12 of 13 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

hypertorch publishes 1 wheel and 1 source archive for version 0.1.10. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for hypertorch 0.1.10

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 6 releases with files. The first dated release is ; 6 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.