Introduction
Software
Experiment
Data processing
Post-processing and results evaluation
Advanced discussions
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A minimal set of data processing tools could include * Fabian : to look at diffraction images and median calculations * ImageD11: script for peak search, experimental parameters refinement, peak assignment, can do grain indexing, and many others * GrainSpotter: grain indexing * Specific TIMEleSS tools: a collection of scripts from the TIMEleSS projects, for both pre- and post-processing
Those are themselves built against a suite of libraries and could be hard to get working.
From the Anaconda website,
Conda is an open-source package and environment management system that runs on Windows, macOS, and Linux. Conda quickly installs, runs, and updates packages and their dependencies. It also easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs, but it can package and distribute software for any language.
