Factual package intelligence from PyPI

ccsd 0.3.3 package intelligence

CCSD (Combinatorial Complex Score-based Diffusion) is a sophisticated score-based diffusion model designed to generate Combinatorial Complexes using Stochastic Differential Equations. This cutting-edge approach enables the generation of complex objects with higher-order structure

pip install ccsd

Current version
0.3.3
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
98.6 MiB
Release history
7 releases with files
Median release cadence
0 days

ccsd dependencies

PyPI declares 26 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. dill >=0.3.6
  2. easydict >=1.10
  3. freezegun >=1.2.2
  4. hypernetx >=1.2.5
  5. imageio >=2.31.1
  6. joblib >=1.3.1
  7. kaleido >=0.1.0.post1
  8. matplotlib >=3.7.2
  9. molsets >=0.3.1
  10. networkx >=2.8.8
  11. numpy >=1.24.4
  12. pandas >=2.0.3
  13. plotly >=5.15.0
  14. pyemd >=1.0.0
  15. pytest >=7.4.0
  16. pytz >=2023.3
  17. pyyaml >=6.0
  18. rdkit >=2023.3.2
  19. scikit-learn >=1.3.0
  20. scipy >=1.11.1
  21. toponetx
  22. torch >=2.0.1
  23. tqdm >=4.65.0
  24. wandb
  25. molsets

The compact report shows 25 of 26 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

ccsd publishes 1 wheel and 1 source archive for version 0.3.3. Wheel platform tags: any.

Declared Python classifiers: 3.7.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .