Skip to main content

Processing and analysis of electron backscatter diffraction (EBSD) patterns.

Project description

kikuchipy [ki-ko-chi-pai] is an open-source Python library for processing and analysis of electron backscatter diffraction (EBSD) patterns. The library builds on the tools for multi-dimensional data analysis provided by the HyperSpy library.

Launch binder Gitter chat Documentation status Build status Coverage status PyPI version Downloads per month Zenodo DOI All Contributors

  • User guide and API reference: https://kikuchipy.org. The guide consists of Jupyter Notebooks with many links to detailed explanations of the input parameters and output of functions and class methods (the API reference). The notebooks can be inspected statically on the web page or via nbviewer, downloaded and run locally, or run interactively in the browser after clicking the Binder link above and navigating to the doc/user_guide directory. We hope you find them useful!
  • License: kikuchipy is released under the GPLv3+ license.
  • Cite: If you find this project useful, please cite the DOI above.
  • Changelog: The library is in continuous development (alpha stage), so expect some breaking changes with each release. Please see the changelog for all developments.

Contributors ✨

Thanks goes to these wonderful people (emoji key):


Eric Prestat

💻 🚧

Håkon Wiik Ånes


Lars Lervik

🐛 💻 📖 💬 👀 ⚠️

Ole Natlandsmyr

💻 📖 💬 👀 ⚠️

Tina Bergh

💻 👀

Zhou Xu

🐛 💻 📖 ⚠️

This project follows the all-contributors specification. Contributions of any kind welcome! Please see our contributing guide for further information on how best to contribute.

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

kikuchipy-0.5.7.tar.gz (4.4 MB view details)

Uploaded Source

Built Distribution

kikuchipy-0.5.7-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file kikuchipy-0.5.7.tar.gz.

File metadata

  • Download URL: kikuchipy-0.5.7.tar.gz
  • Upload date:
  • Size: 4.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1

File hashes

Hashes for kikuchipy-0.5.7.tar.gz
Algorithm Hash digest
SHA256 d084622cc2fd843d48a96b66cfe36023c88f3cce83c1a4b5a8ddf5dfdbcd53b1
MD5 48dc381d8b998876cffb97e98d292ee8
BLAKE2b-256 ab8eb08e849716bd0bdb12fffc54a71661df78da9e85d9f13cf6db3cc2e1b957

See more details on using hashes here.

File details

Details for the file kikuchipy-0.5.7-py3-none-any.whl.

File metadata

  • Download URL: kikuchipy-0.5.7-py3-none-any.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1

File hashes

Hashes for kikuchipy-0.5.7-py3-none-any.whl
Algorithm Hash digest
SHA256 e589d9c8de79afa01ef876c6c0acd17e7112c03ac78c4b9c393b8d31f9369339
MD5 d32929c260434b85fc8b86f0ca62a9cc
BLAKE2b-256 3c55f83a9fdca29d8da31613255fefaa3376f71f15946201c812e48bdadfcd50

See more details on using hashes here.

Supported by

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