ArviZ

ArviZ (/ˈɑːrvɪz/ AR-vees) is a Python package for exploratory analysis of Bayesian models. It is specifically designed to work with the output of probabilistic programming libraries like PyMC, Stan, and others by providing a set of tools for summarizing and visualizing the results of Bayesian inference in a convenient and informative way. ArviZ also provides a common data structure for manipulating and storing data commonly arising in Bayesian analysis, like posterior samples or observed data.

ArviZ is an open source project, developed by the community and is an affiliated project of NumFOCUS. and it has been used to help interpret inference problems in several scientific domains, including astronomy, neuroscience, physics and statistics.