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-0.5.1.tar.gz (74.6 kB view details)

Uploaded Source

Built Distribution

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

baderkit-0.5.1-py3-none-any.whl (90.2 kB view details)

Uploaded Python 3

File details

Details for the file baderkit-0.5.1.tar.gz.

File metadata

  • Download URL: baderkit-0.5.1.tar.gz
  • Upload date:
  • Size: 74.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for baderkit-0.5.1.tar.gz
Algorithm Hash digest
SHA256 2aac7b06049403b1a49f56954e75eb64e783a02ac9828c4079eb34caff53fde7
MD5 ed0da1f1ddc68d2c8946c2c8b1e7bdc7
BLAKE2b-256 76607614d6b5d35f3fee0d9ab9d2a41788535d15b25b13c61c43f5bf6d442ec8

See more details on using hashes here.

File details

Details for the file baderkit-0.5.1-py3-none-any.whl.

File metadata

  • Download URL: baderkit-0.5.1-py3-none-any.whl
  • Upload date:
  • Size: 90.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for baderkit-0.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d7d0b9cb93b1aa1f02caca57102006f2a4355199c3a55adc0301a4acfbc544a2
MD5 254841318407e1bb2d8a977c6f576497
BLAKE2b-256 ea7dd56d2f48bcaffa24584c24e84a7b25533eec479533dcf59b150f3c6cd772

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