silx toolkit

.. |silxView| image:: http://www.silx.org/doc/silx/img/silx-view-v1-0.gif :height: 480px

The purpose of the silx project is to provide a collection of Python packages to support the development of data assessment, reduction and analysis applications at synchrotron radiation facilities. silx aims to provide reading/writing tools for different file formats, data reduction routines and a set of Qt widgets to browse and visualise data.

The current version features:

• Support of HDF5 <https://www.hdfgroup.org/HDF5/>, SPEC <https://certif.com/spec.html> and FabIO <http://www.silx.org/doc/fabio/dev/getting_started.html#list-of-file-formats-that-fabio-can-read-and-write>_ images file formats.

• OpenCL-based data processing: image alignment (SIFT), image processing (median filter, histogram), filtered backprojection for tomography, convolution

• Data reduction: histogramming, fitting, median filter

• A set of Qt widgets, including:

  • 1D and 2D visualization widgets with a set of associated tools using multiple backends (matplotlib or OpenGL)
  • OpenGL-based widgets to visualize data in 3D (scalar field with isosurface and cut plane, scatter plot)
  • a unified browser for HDF5, SPEC and image file formats supporting inspection and visualization of n-dimensional datasets.

• a set of applications:

  • a unified viewer (silx view filename) for HDF5, SPEC and image file formats

  |silxView|

  • a unified converter to HDF5 format (silx convert filename)

Installation

To install silx (and all its dependencies), run:

.. code-block:: bash

pip install silx[full]

To install silx with a minimal set of dependencies, run:

.. code-block:: bash

pip install silx

Or using Anaconda on Linux and MacOS:

.. code-block:: bash

conda install silx -c conda-forge

Unofficial packages for different distributions are available:

• Unofficial Debian10 and Ubuntu20.04 packages are available at http://www.silx.org/pub/linux-repo/
• CentOS 7 rpm packages are provided by Max IV at: http://pubrepo.maxiv.lu.se/rpm/el7/x86_64/
• Fedora 23 rpm packages are provided by Max IV at http://pubrepo.maxiv.lu.se/rpm/fc23/x86_64/
• Arch Linux (AUR) packages are also available: https://aur.archlinux.org/packages/python-silx

Detailed installation instructions <http://www.silx.org/doc/silx/latest/install.html>_ are available in the documentation.

Documentation

The documentation of latest release <http://www.silx.org/doc/silx/latest/> and the documentation of the nightly build <http://www.silx.org/doc/silx/dev> are available at http://www.silx.org/doc/silx/

Testing

silx features a comprehensive test-suite used in continuous integration for all major operating systems:

|Github Actions Status|

Please refer to the documentation on testing <http://www.silx.org/doc/silx/latest/install.html#testing>_ for details.

Examples

Some examples of sample code using silx are provided with the silx documentation <http://www.silx.org/doc/silx/latest/sample_code/index.html>_.

License

The source code of silx is licensed under the MIT license. See the LICENSE <https://github.com/silx-kit/silx/blob/main/LICENSE> and copyright <https://github.com/silx-kit/silx/blob/main/copyright> files for details.

Citation

silx releases can be cited via their DOI on Zenodo: |zenodo DOI|

.. |Github Actions Status| image:: https://github.com/silx-kit/silx/workflows/CI/badge.svg :target: https://github.com/silx-kit/silx/actions .. |zenodo DOI| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.591709.svg :target: https://doi.org/10.5281/zenodo.591709