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Collection of algorithms and functions for ultrafast electron diffraction

Project description

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Collection of algorithms and functions for ultrafast electron diffraction. It aims to be a fully-tested package taking advantage of Python’s most recent features.

For examples, see our tutorials.

API Reference

The API Reference on provides API-level documentation, as well as tutorials.


scikit-ued is available on PyPI; it can be installed with pip.:

python -m pip install scikit-ued

To install the latest development version from Github:

python -m pip install git+git://

Each version is tested against Python 3.6. If you are using a different version, tests can be run using the standard library’s unittest module.

Dependencies for scikit-ued (e.g. spglib) require compilation. Windows users should minimally have the Visual Studio Build Tools installed. Don’t forget to update setuptools to the latest version to avoid common problems involving C-extensions on Windows:

python -m pip install --upgrade setuptools

After installing scikit-ued you can use it like any other Python module as skued.

Optional dependencies

While it is not strictly required, the Fourier transform routines from pyfftw will be preferred If pyfftw is installed.

For displaying diffraction images with interactive contrast using the skued.diffshow function, PyQtGraph is required.


If you are using the baseline-removal functionality of scikit-ued, please consider citing the following publication:

[1]L. P. René de Cotret and B. J. Siwick, A general method for baseline-removal in ultrafast electron powder diffraction data using the dual-tree complex wavelet transform, Struct. Dyn. 4 (2017) DOI: 10.1063/1.4972518.

Support / Report Issues

All support requests and issue reports should be filed on Github as an issue.


scikit-ued is made available under the MIT License. For more details, see LICENSE.txt.

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