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.
Donate#
If you or your company have the means to do so, consider a donation to the project commensurate with your resources. Any amount helps! All donations will be used strictly to fund the development of ArviZ’s open source software, documentation, and community.
ArviZ is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. NumFOCUS provides ArviZ with fiscal, legal, and administrative support to help ensure the health and sustainability of the project. Visit numfocus.org for more information.
Donations to ArviZ are managed by NumFOCUS. For donors in the United States, your gift is tax-deductible to the extent provided by law. As with any donation, you should consult with your tax advisor about your particular tax situation.
The ArviZ project will make the decisions on how to best use any funds received to serve the priorities outlined in our Roadmap.
Cite#
If you use ArviZ in your scientific work, you can cite it using 
Here is the citation in BibTeX format:
@article{arviz_2019,
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.