Factual package intelligence from PyPI

schnetpack 2.2.0 package intelligence

SchNetPack - Deep Neural Networks for Atomistic Systems

pip install schnetpack

Current version
2.2.0
Python requirement
>=3.12
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
423.1 KiB
Release history
13 releases with files
Median release cadence
120 days

schnetpack dependencies

PyPI declares 28 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=2.0.0
  2. sympy >=1.13
  3. ase >=3.21
  4. h5py
  5. pyyaml
  6. hydra-core >=1.1.0
  7. torch >=2.5.0
  8. pytorch_lightning >=2.0.0
  9. torchmetrics
  10. hydra-colorlog >=1.1.0
  11. rich
  12. fasteners
  13. dirsync
  14. torch-ema
  15. matscipy >=1.1.0
  16. tensorboard >=2.17.1
  17. tensorboardX >=2.6.2.2
  18. tqdm
  19. pre-commit
  20. black
  21. protobuf
  22. progressbar
  23. pytest
  24. petname
  25. vesin

The compact report shows 25 of 28 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

schnetpack publishes 1 wheel and 1 source archive for version 2.2.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 13 releases 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 . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.