Skip to main content

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

Project description

Build status Coveralls status Documentation status PyPI version conda-forge version DOI

kikuchipy 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. An effort is made to keep memory usage in check and enable scalability by using the Dask library for pattern processing.

The project is in an alpha stage, and there will likely be breaking changes with each release.

kikuchipy is released under the GPLv3+ license.

User guide

Installation instructions, a user guide and the full API reference are available from our webpage.

Tutorials and example workflows

Jupyter Notebooks that you can work through and modify to perform processing and analyses of EBSD patterns are available here. For learning purposes, we recommend to use them alongside our user guide.

Contributing

Everyone is welcome to contribute. Please read our contributor guide to get started!

Code of Conduct

kikuchipy has a Code of Conduct that should be honoured by everyone who participates in the kikuchipy community.

Cite

If you find this project useful, please cite the DOI above.

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-0.2.2.tar.gz (7.6 MB view details)

Uploaded Source

Built Distribution

kikuchipy-0.2.2-py3-none-any.whl (496.5 kB view details)

Uploaded Python 3

File details

Details for the file kikuchipy-0.2.2.tar.gz.

File metadata

  • Download URL: kikuchipy-0.2.2.tar.gz
  • Upload date:
  • Size: 7.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.6

File hashes

Hashes for kikuchipy-0.2.2.tar.gz
Algorithm Hash digest
SHA256 8fe9306b4d293e00f4bd56a6a2514b51f2b6ba247525980de742755f67012d34
MD5 bb7894a761ff44c54ee8e85327535c3e
BLAKE2b-256 aec2474dbdabccba836e1eb790e478a62133d0eb589538461b47037532afb0db

See more details on using hashes here.

File details

Details for the file kikuchipy-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: kikuchipy-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 496.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.6

File hashes

Hashes for kikuchipy-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 291437c01ffd53618a542f39c06721bee270d9dfa8e20c69e6cbbff6e10f23d0
MD5 9a1cb342df896f24ba9ac805e5c4c012
BLAKE2b-256 bd7a838f10fede5511055f9769cdcb3b5883d96d0e67c5bed11f2c38d7d129b8

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