Factual package intelligence from PyPI

mpdd-alignn 1.3.1.post1 package intelligence

Our version of the NIST-JARVIS ALIGNN optimized in terms of model performance and to some extent reliability, for large-scale deployments over the MPDD infrastructure by Phases Research Lab.

pip install mpdd-alignn

Current version
1.3.1.post1
Python requirement
>=3.9
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
238.4 KiB
Release history
12 releases with files
Median release cadence
0 days

mpdd-alignn dependencies

PyPI declares 23 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. spglib >=2.5.0
  2. numpy >=1.26.0
  3. scipy >=1.11.0
  4. jarvis-tools >=2021.07.19
  5. torch >=2.3.0
  6. torchdata ==0.9.0
  7. dgl >=2.2.0
  8. scikit-learn >=1.3.1
  9. matplotlib >=3.4.1
  10. tqdm >=4.60.0
  11. natsort >=8.3.0
  12. pandas >=1.2.3

The compact report shows 12 of 23 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mpdd-alignn publishes 1 wheel and 1 source archive for version 1.3.1.post1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.

Security snapshot for mpdd-alignn 1.3.1.post1

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 12 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 .