Skip to main content

Processing, simulating, and indexing of electron backscatter diffraction (EBSD) patterns

Project description

kikuchipy [ki-ko-chi-pai] is a library for processing, simulating, and indexing of electron backscatter diffraction (EBSD) patterns in Python. It is built on the tools for multi-dimensional data analysis provided by the HyperSpy library.

Deployment

pypi_version conda

Build status

tests_status docs python

Metrics

coverage

Activity

pypi_downloads conda_downloads

Citation

arxiv_doi zenodo_doi

License

GPLv3 BSD3

Community

GH-discuss

Formatter

black

kikuchipy is licensed under the GNU General Public License v3+. Select components are individually licensed under the BSD 3-Clause License, allowing reuse of those components only in both GPL and non-GPL projects.

Documentation

Refer to the documentation for detailed installation instructions, a user guide, and the changelog.

Installation

kikuchipy can be installed with pip:

pip install kikuchipy

or conda:

conda install kikuchipy -c conda-forge

You can also visit PyPI, Anaconda, or GitHub to download the source.

Further details are available in the installation guide.

Citing kikuchipy

If you are using kikuchipy in your research, please help our scientific visibility by citing our work!

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-0.13.0.tar.gz (21.0 MB view details)

Uploaded Source

Built Distribution

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

kikuchipy-0.13.0-py3-none-any.whl (1.8 MB view details)

Uploaded Python 3

File details

Details for the file kikuchipy-0.13.0.tar.gz.

File metadata

  • Download URL: kikuchipy-0.13.0.tar.gz
  • Upload date:
  • Size: 21.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for kikuchipy-0.13.0.tar.gz
Algorithm Hash digest
SHA256 ab706cfd370d463ab0ba424db80c89b8fc35f3fc352b1d051ee3c0d52ee50e3e
MD5 d973a9f9c04ea03ded99100813890a0d
BLAKE2b-256 63d57199e39e6e45429be4dbacfc8c0e5e026433afa9b7f2c39f72bc61f61b8d

See more details on using hashes here.

File details

Details for the file kikuchipy-0.13.0-py3-none-any.whl.

File metadata

  • Download URL: kikuchipy-0.13.0-py3-none-any.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for kikuchipy-0.13.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5e03dffa1162c0c3f031a5cca86338e32b6259459f6fb779fd117c3a0b478fc3
MD5 9e384eaa21d13b47d4bb45a3bc275035
BLAKE2b-256 2d1ff8f651969bd7c12956c2a14963afb8c3de4f1c2528e3814e6df550aee17a

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