Factual package intelligence from PyPI

deepx-pack 1.0.6.post3 package intelligence

DeepH-pack is a general-purpose neural network package for deep-learning electronic structure calculations. As the latest evolution of the DeepH framework, it integrates all prior methodologies into a unified, cohesive toolkit. This enhanced version has been fully rebuilt using J

pip install deepx-pack

Current version
1.0.6.post3
Python requirement
<3.15,>=3.13
License
GPL-3.0-or-later
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
18.3 KiB
Release history
3 releases with files
Median release cadence
1 days

deepx-pack dependencies

PyPI declares 37 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pyarmor ==9.1.9
  2. numpy
  3. toml
  4. h5py
  5. matplotlib
  6. joblib
  7. rocksdict

The compact report shows 25 of 37 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

deepx-pack publishes 1 wheel and 0 source archives for version 1.0.6.post3. Wheel platform tags: any.

Declared Python classifiers: 3.13.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .