YODA

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.
A few key features of YODA are as follows:

Storage of all information needed for statistically correct run
combination and reweighting up to second-order correlations (e.g.
variances, std devs, etc.) not just in the number of entries in a
bin, but also the correlations of that with the x and y fill
values.
Separation of statistics and data handling from presentation. YODA
is primarily a library for doing the data part correctly: while we
love really high quality data presentation, that's a separate goal.
A sensible class hierarchy for histogramming, recognising that a
histogram contains details of fill history beyond the pure visual
height of a bin, and that just counting weights, or binning
arbitrary types on an axis are valuable operations.
Flexible data format support, including a new text-based, compact,
and human-readable YODA format.
Proper and convenience treatment of "details" like irregular bin
widths, gaps in contiguous binning, and overflows/underflows/etc.
(incuding how they impact normalisation and calculation of histo-
wide stat quantities)
Carefully designed programming interfaces in C++ and Python. We
are very welcoming of feedback and design evolution, too!


          

---

License: GPL-2.0-only
URL: https://yoda.hepforge.org/