I present EOS, an open-source software dedicated to a variety of tasks in the processing of flavor physics observables.
EOS is written in C++ and offers both a C++ and a Python interface.
It is developed for three main tasks, the production of theoretical predictions for flavor physics observables; the inference of theoretical parameters from an extensible database of likelihoods; and the production of Monte Carlo samples of flavor processes for sensitivity studies.