silx 0.7.0¶
The silx project aims at providing a collection of Python packages to support the development of data assessment, reduction and analysis at synchrotron radiation facilities. It intends to provide reading/writing tools for different file formats, data reduction routines and a set of Qt widgets to browse and visualise data. Silx can be cited by its DOIs referenced on Zenodo.
The current version (v0.7) caters for:
- Supporting HDF5, SPEC and FabIO images file formats.
- OpenCL-based data processing: image alignment (SIFT), image processing (median filter, histogram), filtered backprojection for tomography
- 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
- a unified converter to HDF5 format (silx convert filename)
- Overview
- Releases, repository, issue tracker, mailing list, ...
- Installation steps
- How to install silx on Linux, Windows and MacOS X
- Description
- Description of the different algorithms and their implementation
- Tutorials and sample code
- Tutorials and sample code
- API Reference
- Documentation of the packages included in silx
- Applications documentation
- Documentation of the applications provided by silx
- Widgets gallery
- Widgets gallery and screenshots
- Change Log
- List of changes between releases
- License
- License and copyright information
