Skip to main content

BaderKit is a python reimplementaion of the Henkelman Group's Bader code built on numba, numpy, and pymatgen.

Project description

BaderKit

About

BaderKit is a python implementation of Bader's Atomic Theory of Atoms in Molecules. It is largely based on the algorithms of Henkelman et. al. at UT Austin. The app is partially part of my PhD at UNC Chapel Hill in the Warren Lab with funding from the NSF's GRFP, but is largely my own passion project aimed at making my life easier when developing other packages.

For information on installation and use, see the docs

Dependencies

The dependencies for this app are listed in the pyproject.toml. To make sure nothing breaks, the ranges are capped at the most recent versions as of July 2025. We will do our best to keep these up to date as new versions of dependencies are released, but if you run into any issues, please create an Issue on our github page.

Contributing

If you are interested in this project and have suggestions, please use this repositories Issues or Discussions tab. Any suggestions or discussion would be deeply appreciated!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

baderkit-0.5.2.tar.gz (77.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

baderkit-0.5.2-py3-none-any.whl (93.7 kB view details)

Uploaded Python 3

File details

Details for the file baderkit-0.5.2.tar.gz.

File metadata

  • Download URL: baderkit-0.5.2.tar.gz
  • Upload date:
  • Size: 77.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for baderkit-0.5.2.tar.gz
Algorithm Hash digest
SHA256 a7abfaef31eceb9fb452dde97d4b7fe71386d0ea10e9cdb923823dccce2e42dc
MD5 7b9db27cd9f19faa01e7d1922d770023
BLAKE2b-256 791ae622e88346a63001a5aa1a5cca203a1aab4492d6a72e0a2b2f78fa64fd23

See more details on using hashes here.

File details

Details for the file baderkit-0.5.2-py3-none-any.whl.

File metadata

  • Download URL: baderkit-0.5.2-py3-none-any.whl
  • Upload date:
  • Size: 93.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for baderkit-0.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 bd8c60789d12b4646a8c27167629491d5b7edb1a3d517752b1faccb0ba8d1991
MD5 31c191dc2d58e2d60f12f0aee8b622b8
BLAKE2b-256 0627ef579c2617cb364267a8d88cb991117bbbf48c274b2cb51981dd60aeff59

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page