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Reposted by ArviZ

Aki Vehtari @avehtari.bsky.social · 26/06/2026

@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

arviz-devs.github.io

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

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ArviZ @arviz.bsky.social · 24/04/2026

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! 👇

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ArviZ @arviz.bsky.social · 07/04/2026

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.

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ArviZ @arviz.bsky.social · 01/04/2026

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...

python.arviz.org

Example gallery — arviz-plots dev documentation

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ArviZ @arviz.bsky.social · 24/03/2026

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.

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ArviZ @arviz.bsky.social · 20/03/2026

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...

joss.theoj.org

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

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ArviZ @arviz.bsky.social · 19/03/2026

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...

python.arviz.org

Getting started — ArviZ 1.0.0 documentation

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ArviZ @arviz.bsky.social · 19/11/2024

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.

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