Factual package intelligence from PyPI

atompaint 0.1.0 package intelligence

Design macromolecular interactions by in-painting full-atom models.

pip install atompaint

Current version
0.1.0
Python requirement
~=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
157.8 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

atompaint dependencies

PyPI declares 33 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. blosum
  2. einops
  3. escnn_atompaint
  4. fastdigest
  5. lightning
  6. macromol_dataframe
  7. macromol_gym_pretrain
  8. macromol_gym_unsupervised
  9. macromol_voxelize
  10. more_itertools
  11. multipartial
  12. numpy
  13. pipeline_func
  14. polars >=1.17
  15. scipy
  16. torch
  17. torchmetrics
  18. torchyield
  19. tqdm
  20. tquiet
  21. visible_residues
  22. xxhash

The compact report shows 25 of 33 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

atompaint publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

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 .