Silx
silx toolkit
Install / Use
/learn @silx-kit/SilxREADME
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>andFabIO <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
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