YODA is a lightweight C++ and Python library for histogramming and statistical analysis, designed for use in particle physics workflows. It supports reproducible, high-performance data analysis and is the foundation for data handling in tools like Rivet.
YODA is a small set of data analysis (specifically histogramming) classes being developed by MCnet members as a lightweight common system for MC event generator validation analyses, particularly as the core histogramming system in Rivet.
YODA is a refreshingly clean, natural and powerful way to do histogramming... and there are plenty of improvements still to come. Our mission is to make the most powerful, expressive, and focused approach to binned computational data handling, with the nicest possible balance of power and simplicity in the user interface. We hope you'll agree it's a good thing, but if not (or even if so) please get in touch and let us know about your thoughts, problems, and feature requests.
CEDAR is MCnet’s initiative to support sustainable, reusable software tools for collider phenomenology, including Rivet, YODA, and LHAPDF, enabling precision comparisons between theory and experiment.