ArviZ


ArviZ is a Python package for exploratory analysis of Bayesian models it offers data structures for manipulating data that it is common in Bayesian analysis, like numerical samples from the posterior, prior predictive and posterior predictive distributions as well as observed data. Additionally, many numerical/visual diagnostics and plots are available. The ArviZ name is derived from reading "rvs" as a word instead of spelling it and also using the particle "viz" usually used to abbreviate visualization.
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.

Library features