Factual package intelligence from PyPI

deepqmc 1.3.0 package intelligence

Deep-learning quantum Monte Carlo for electrons in real space

pip install deepqmc

Current version
1.3.0
Python requirement
>=3.12
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
2.7 MiB
Release history
12 releases with files
Median release cadence
161 days

deepqmc dependencies

PyPI declares 35 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. dm-haiku
  2. folx
  3. h5py
  4. hydra-core
  5. jax <0.9.0
  6. jaxlib
  7. jax-dataclasses
  8. kfac-jax
  9. scipy
  10. optax
  11. pyscf
  12. tensorboardX
  13. pyyaml
  14. tqdm
  15. uncertainties
  16. chex <1.0.0
  17. jaxtyping

The compact report shows 25 of 35 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

deepqmc publishes 1 wheel and 1 source archive for version 1.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.12, 3.13.

Release activity and sources

PyPI lists 12 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 .