@aloctavodia.bsky.social has been porting Bayesian Workflow book avehtari.github.io/Bayesian-Wor... case studies to Python using CmdStanPy, numpyro, ArviZ, Bambi, and kulprit arviz-devs.github.io/bayesian-wor... He is working on porting the rest of the case studies, too

Bayesian Workflow book: Case studies in Python – Bayesian Workflow case studies in Python

arviz-devs.github.io

New ArviZ release 1.1 🎉 With this release, we aim to consolidate the many features added over the past few months. That said, we also worked on adding new features! 👇

ArviZ now has built-in tools for prior & likelihood sensitivity analysis via power-scaling! Instead of fitting multiple models with different priors, you fit once and use importance sampling to approximate the effect of perturbing the prior or likelihood.

ArviZ 1.0 brings a lot of new plotting functionality. Check our gallery for a glimpse of what's new: python.arviz.org/projects/plo...

arviz-stats exposes two APIs: • Full xarray API (default): intended for end users doing statistical data analysis. • Array-only API (NumPy/SciPy): intended for PPL developers or advanced users, who want diagnostics without xarray as a dependency.

New paper out in JOSS: “ArviZ: a modular and flexible library for exploratory analysis of Bayesian models” It covers the design principles behind ArviZ and the motivation for the refactoring in 1.0. joss.theoj.org/papers/10.21...

ArviZ: a modular and flexible library for exploratory analysis of Bayesian models

Martin et al., (2026). ArviZ: a modular and flexible library for exploratory analysis of Bayesian models. Journal of Open Source Software, 11(119), 9889, https://doi.org/10.21105/joss.09889

joss.theoj.org

ArviZ 1.0 is out! We have refactored it to be more modular, flexible & lightweight. For an overview of the changes, check the migration guide. python.arviz.org/en/stable/us...

Hello BlueSky! This is the official account for the ArviZ project. We provide FOSS tools for exploratory analysis of Bayesian models in both Python and Julia.