iiinova — where your digital self keeps evolving

ArviZ @arviz.bsky.social · 11/08/2026

We recently made az.summary() smarter at figuring out how many digits are actually meaningful for your data, and now we've also fixed it to preserve data types as-is. python.arviz.org/projects/sta...

python.arviz.org

arviz_stats.summary — arviz-stats 1.3.0 documentation

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ArviZ @arviz.bsky.social · 11/08/2026

New plot_rank python.arviz.org/projects/plo.... Following the work of Tesso and Vehtari "LOO-PIT predictive model checking" arxiv.org/abs/2603.02928.

python.arviz.org

arviz_plots.plot_rank — arviz-plots dev documentation

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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

The highlight is the new dependency-aware uniformity tests, developed by @herman-tesso and @avehtari. More details in this thread bsky.app/profile/herm..., and in the plot gallery python.arviz.org/projects/plo...

python.arviz.org

Example gallery — arviz-plots dev documentation

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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

In ArviZ, 3 functions do most of the work: psense_summary() → a table per flagging potential prior-data conflict or a weak likelihood. plot_psense_dist() and plot_psense_quantities() → visual diagnostics showing how the posterior changes under perturbation.

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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

And if the existing `plot_xyz` functions just aren't cutting it, renounce them! Walk the truly ArviZian path, and unlock ArviZ's true form to forge your own unique plot from scratch. python.arviz.org/projects/plo...

python.arviz.org

Create your own figure with PlotCollection — arviz-plots dev documentation

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ArviZ @arviz.bsky.social · 01/04/2026

For those who crave finer control: meet the plotting manager classes. They handle the unglamorous work, faceting, layout, encodings, so `plot_xyz` can stay pretty. python.arviz.org/projects/plo...

python.arviz.org

Using PlotCollection objects — arviz-plots dev documentation

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ArviZ @arviz.bsky.social · 01/04/2026

Briefly: • 3 backends: matplotlib, bokeh, plotly. • Many "batteries-included" plots, ready to use functions covering the most common tasks of the Bayesian workflow • Easy and flexible syntax to customize existing plots. python.arviz.org/projects/plo...

python.arviz.org

Overview — arviz-plots dev documentation

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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 1.0 implements many new diagnostics and statistical methods; see arviz-stats.readthedocs.io/en/latest/ap... for the full list. Or read arviz-devs.github.io/EABM/ for more in-context examples.

arviz-stats.readthedocs.io

API reference — arviz-stats dev documentation

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ArviZ @arviz.bsky.social · 24/03/2026

Full xarray API: structure-aware diagnostics • Works with labeled, xarray-based, data • Chain/draw structure inferred automatically • Cleaner interface for end users This is the standard interface that you are used to. python.arviz.org/projects/sta...

python.arviz.org

Overview — arviz-stats dev documentation

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ArviZ @arviz.bsky.social · 24/03/2026

Array-only API: • You must specify chain and draw axes • Useful when integrating diagnostics into lightweight pipelines python.arviz.org/projects/sta...

python.arviz.org

Using arviz_stats array interface — arviz-stats 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 features new state-of-the-art diagnostics, improved plotting syntax, and visualizations. Explore the docs and examples, or stay tuned for upcoming threads! python.arviz.org/projects/plo...

python.arviz.org

Example gallery — arviz-plots dev documentation

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ArviZ @arviz.bsky.social · 19/03/2026

📦 arviz-plots has no plotting library as a dependency, but it can generate plots with matplotlib, bokeh, and/or plotly if they are installed. See arviz-plots.readthedocs.io for details

arviz-plots.readthedocs.io

ArviZ-plots — arviz-plots dev documentation

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ArviZ @arviz.bsky.social · 19/03/2026

📦 arviz-stats can be used with a minimal array API (NumPy + SciPy). Ideal for PPL devs who want ArviZ diagnostics without extra deps. Or you can use the xarray API with all its bells and whistles, which is ideal for end users interested in data analysis. See arviz-stats.readthedocs.io for details.

arviz-stats.readthedocs.io

ArviZ-stats — arviz-stats dev documentation

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ArviZ @arviz.bsky.social · 19/03/2026

📦 arviz-base has no I/O library as a dependency, but you can use netcdf4, h5netcdf, or zarr to read and write your data. Install only the one you need. See arviz-base.readthedocs.io for details.

arviz-base.readthedocs.io

arviz-base — arviz-base dev documentation

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ArviZ @arviz.bsky.social · 19/03/2026

You can keep installing and importing ArviZ as usual, but if needed, you can easily get more control. Functionality is now split into 3 libraries: 📦 arviz-base 📦 arviz-stats 📦 arviz-plots.

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ArviZ @arviz.bsky.social · 19/03/2026

InferenceData has been replaced with xarray’s DataTree, a more flexible data structure that will still feel familiar to you python.arviz.org/en/stable/us...

python.arviz.org

ArviZ migration guide — ArviZ 1.0.0 documentation

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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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