About us

ArviZ is an open source project aiming to provide tools for Exploratory Analysis of Bayesian Models that do not depend on the inference library used. ArviZ brings together people from several probabilistic programming libraries and from multiple programming languages. ArviZ will always be free for everyone to use and released under the Apache License (Version 2.0).

ArviZ is developed in the open on GitHub with the input of the whole community and consensus of its core contributors. For more information about our governance approach, read our Governance Document.

Our team

ArviZ is maintained and governed by an international group of core contributors, as defined by our governance. You can see our current team in the cards below, as well as in our governance doc.

People interested in joining the project should read this section of our governance doc. Those interested in contributing should instead refer to our Contributing to ArviZ.


Oriol Abril-Pla


Agustina Arroyuelo


Alex Andorra


Seth Axen


Colin Carroll


Piyush Gautam


Robert P. Goldman


Ari Hartikainen


Ravin Kumar


Osvaldo Martin


Mitzi Morris


Du Phan


Aki Vehtari

Support ArviZ

If you have found ArviZ useful in your work, research, or company, consider supporting the project in any of the ways described in this section.


If you use ArviZ in your scientific work, you can cite it using DOI

Here is the citation in BibTeX format

  doi = {10.21105/joss.01143},
  url = {https://doi.org/10.21105/joss.01143},
  year = {2019},
  publisher = {The Open Journal},
  volume = {4},
  number = {33},
  pages = {1143},
  author = {Ravin Kumar and Colin Carroll and Ari Hartikainen and Osvaldo Martin},
  title = {ArviZ a unified library for exploratory analysis of Bayesian models in Python},
  journal = {Journal of Open Source Software}

Please also consider citing ArviZ’s Dependencies and the inference library used to build and fit the model.

ArviZ for enterprise

ArviZ is now available as part of the Tidelift Subscription!

Tidelift is working with ArviZ and the maintainers of thousands of other open source projects to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while contributing financially to ArviZ.

Enterprise-ready open source software — managed for you

The Tidelift Subscription is a managed open source subscription for application dependencies covering millions of open source projects across JavaScript, Python, Java, PHP, Ruby, .NET, and more. And now, your favorite probabilistic programming language is included in the Tidelift subscription!

Your subscription includes:

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  • Package selection and version guidance: Tidelift helps you choose the best open source packages from the start—and then guides you through updates to stay on the best releases as new issues arise.

  • Roadmap input: Take a seat at the table with the creators behind the software you use. ArviZ core contributors and other Tidelift’s participating maintainers earn more income as our software is used by more subscribers, so we’re interested in knowing what you need.

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