Factual package intelligence from PyPI

TrimNN 0.0.1 package intelligence

TrimNN: an empowered bottom-up approach designed to estimate the prevalence of sizeable CC motifs in a triangulated cell graph

pip install trimnn

Current version
0.0.1
Python requirement
>=3.9
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
6.5 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

TrimNN dependencies

PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. tqdm >=4.66.1
  2. numpy >=1.25.2
  3. pandas >=2.0.3
  4. scipy >=1.11.2
  5. scikit-learn >=1.3.0
  6. python-igraph >=0.9.6
  7. tensorboard >=2.6.2.2
  8. networkx >=3.1
  9. torch >=1.13.1
  10. dgl >=1.1.2
  11. matplotlib >=3.7.2

Compatibility and release files

TrimNN publishes 1 wheel and 1 source archive for version 0.0.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 .