[![PyPI version](https://badge.fury.io/py/arviz.svg)](https://badge.fury.io/py/arviz) [![DOI](http://joss.theoj.org/papers/10.21105/joss.01143/status.svg)](https://doi.org/10.21105/joss.01143) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2540945.svg)](https://doi.org/10.5281/zenodo.2540945) [![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](https://numfocus.org) ArviZ (pronounced "AR-_vees_") is a Python package for exploratory analysis of Bayesian models. It includes functions for posterior analysis, data storage, model checking, comparison and diagnostics. ### ArviZ in other languages ArviZ also has a Julia wrapper available [ArviZ.jl](https://julia.arviz.org/). ## Documentation The ArviZ documentation can be found in the [official docs](https://python.arviz.org). Here are some quick links for common scenarios: * First time Bayesian modelers and ArviZ users: [EABM book](https://arviz-devs.github.io/EABM/) * First time ArviZ users, already familiar with Bayesian modeling: [overview notebook](https://python.arviz.org/projects/plots/en/latest/tutorials/overview.html) or [example gallery](https://python.arviz.org/projects/plots/en/latest/gallery/index.html) * ArviZ 0.x user: [migration guide](https://python.arviz.org/en/latest/user_guide/migration_guide.html) * ArviZ-verse documentation: - [arviz-base](https://python.arviz.org/projects/base/en/latest/) - [arviz-stats](https://python.arviz.org/projects/stats/en/latest/) - [arviz-plots](https://python.arviz.org/projects/plots/en/latest/) ## Installation ### Stable ArviZ is available for installation from [PyPI](https://pypi.org/project/arviz/). The latest stable version can be installed using pip: ``` pip install "arviz[preview]" ``` ArviZ is also available through [conda-forge](https://anaconda.org/conda-forge/arviz). ``` conda install -c conda-forge arviz arviz-plots ``` ### Development The latest development version can be installed from the main branch using pip: ``` pip install git+git://github.com/arviz-devs/arviz.git ``` Another option is to clone the repository and install using git and setuptools: ``` git clone https://github.com/arviz-devs/arviz.git cd arviz python setup.py install ``` ------------------------------------------------------------------------------- ## [Gallery](https://python.arviz.org/en/latest/examples/index.html)

[![plot_rank_dist example](./docs/source/_miniatures/plot_rank_dist.png)](https://arviz-plots.readthedocs.io/en/stable/api/generated/arviz_plots.plot_rank_dist.html) [![plot_forest example with extra ESS column](./docs/source/_miniatures/plot_forest_ess.png)](https://arviz-plots.readthedocs.io/en/stable/api/generated/arviz_plots.plot_forest.html)

And more...
## Citation If you use ArviZ and want to cite it please use [![DOI](https://joss.theoj.org/papers/10.21105/joss.09889/status.svg)](https://doi.org/10.21105/joss.09889) Here is the citation in BibTeX format ``` @article{Martin2026, doi = {10.21105/joss.09889}, url = {https://doi.org/10.21105/joss.09889}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {119}, pages = {9889}, author = {Martin, Osvaldo A. and Abril-Pla, Oriol and Deklerk, Jordan and Axen, Seth D. and Carroll, Colin and Hartikainen, Ari and Vehtari, Aki}, title = {ArviZ: a modular and flexible library for exploratory analysis of Bayesian models}, journal = {Journal of Open Source Software}} ``` ## Contributions ArviZ is a community project and welcomes contributions. Additional information can be found in the [contributing guide](https://python.arviz.org/en/latest/contributing/index.html) ## Code of Conduct ArviZ wishes to maintain a positive community. Additional details can be found in the [Code of Conduct](https://www.arviz.org/en/latest/CODE_OF_CONDUCT.html) ## Donations ArviZ is a non-profit project under [NumFOCUS](https://numfocus.org) umbrella. If you want to support ArviZ financially, you can donate [here](https://numfocus.org/donate-to-arviz). ## Sponsors and Institutional Partners [The ArviZ project website](https://www.arviz.org/en/latest/sponsors_partners.html) has more information about each sponsor and institutional partner and the support they provide. ### Institutional partners ArviZ is currently supported by the following institutional partners: [![Aalto University](https://raw.githubusercontent.com/arviz-devs/arviz-project/refs/heads/main/cards/Aalto-black-text.png)](https://www.aalto.fi/en) [![FCAI](https://raw.githubusercontent.com/arviz-devs/arviz-project/refs/heads/main/cards/FCAI.png)](https://fcai.fi/) [![FCAI](https://raw.githubusercontent.com/arviz-devs/arviz-project/refs/heads/main/cards/FCAI.png)](https://fcai.fi/) [![ELLIS Finland](https://raw.githubusercontent.com/arviz-devs/arviz-project/refs/heads/main/cards/ellis_finland.png)](https://www.ellisinstitute.fi/) ### Sponsors ArviZ currently has no Sponsors.