Factual package intelligence from PyPI

dptb 2.2.1 package intelligence

A unified deep learning package for electronic structure models including tight-binding, KS Hamiltonian and density matrix models

pip install dptb

Current version
2.2.1
Python requirement
<=3.12.9,>=3.9
License
LGPL-3.0-only
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
53.3 MiB
Release history
8 releases with files
Median release cadence
40 days

dptb dependencies

PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pytest >=7.2.0
  2. pytest-order ==1.2.0
  3. numpy
  4. scipy <1.13,>=1.11
  5. spglib
  6. matplotlib
  7. torch <=2.5.1,>=2.0.0
  8. ase
  9. pyyaml
  10. dargs ==0.4.4
  11. e3nn >=0.5.1
  12. torch-runstats ==0.2.0
  13. torch_scatter ==2.1.2
  14. torch_geometric >=2.4.0
  15. opt-einsum ==3.3.0
  16. h5py !=3.10.0,<3.12,>=3.7.0
  17. lmdb ==1.4.1
  18. pyfiglet ==1.0.2
  19. tensorboard
  20. seekpath
  21. rich >=13.0.0

The compact report shows 25 of 27 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

dptb publishes 1 wheel and 0 source archives for version 2.2.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.

Release activity and sources

PyPI lists 8 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 .