Speaker
Description
Silx (https://github.com/silx-kit/silx) is an open-source Python toolkit and tool (silx view) for viewing HDF5/Nexus files used in many sites world-wide.
silx provides not only a NeXus-HDF5 data visualization tool but also a comprehensive collection of Python packages to support the development of data assessment, reduction, and analysis applications at synchrotron radiation facilities worldwide.
This talk will present the current state of silx after a decade of evolution which started in 2016:
- a suite of Qt widgets to browse and visualize multidimensional data, offering a matplotlib and an OpenGL backend.
- OpenCL-based processing for high-performance computing
- Input / output tools for different file formats like NeXus-HDF5
It has been 10 years since silx was awarded for the Best Poster prize at NOBUGS 2016 in Copenhagen. But how far are we from the initial expectation?
During this journey, a project—and its contributors—evolves, adapts, and re-imagines itself. Growth brings lessons and now is the time to look in the rear view mirror: what went well, what didn't, what could be improved, what do we foresee for the next decade?
