Factual package intelligence from PyPI

celldiffusion 0.1.2 package intelligence

CellDiffusion(Single-Cell graph neural Diffusion) is a physics-informed graph generative model to do scRNA-seq analysis. CellDiffusion investigates cellular dynamics utilizing an attention-based neural network.

pip install celldiffusion

Current version
0.1.2
Python requirement
<=3.12,>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
69.6 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

celldiffusion dependencies

PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. leidenalg >=0.8.10
  2. matplotlib >=3.5.1
  3. networkx >=2.6.3
  4. numpy >=1.26.4
  5. pandas >=1.3.5
  6. python-igraph >=0.9.9
  7. python-louvain >=0.16
  8. scanpy
  9. scikit-learn >=1.0.2
  10. scipy >=1.7.3
  11. torch >=1.13.1
  12. torchaudio >=0.13.1
  13. torchvision >=0.14.1
  14. umap-learn >=0.5.2

Compatibility and release files

celldiffusion publishes 1 wheel and 1 source archive for version 0.1.2. 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 .