Factual package intelligence from PyPI

aim2dat 0.4.0 package intelligence

Automated Ab-Initio Materials Modeling and Data Analysis Toolkit: Python library for pre-, post-processing and data management of ab-initio high-throughput workflows for computational materials science.

pip install aim2dat

Current version
0.4.0
Python requirement
>=3.8
License
LGPL-2.1
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
716.7 KiB
Release history
4 releases with files
Median release cadence
245 days

aim2dat dependencies

PyPI declares 53 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.17
  2. scipy >=1.6.1
  3. networkx >=2.7.1
  4. matplotlib >=3.6.0
  5. pandas >=2.1.0
  6. ruamel.yaml >=0.17.5
  7. spglib >=1.16.1
  8. ase >=3.22.0
  9. packaging >=21.3
  10. h5py >=3.7.0
  11. tqdm >=4.64.1

The compact report shows 25 of 53 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

aim2dat publishes 1 wheel and 1 source archive for version 0.4.0. Wheel platform tags: any.

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

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .