help support Stan’s future

Contribute to the Stan Project

Stan is now linked to NumFOCUS, a U.S. 501(c)(3) nonprofit organization that serves several other open-source software projects, including NumPy, Julia, Jupyter, and others.

Stan can now accept tax-deductible contributions through this foundation. If you’re interested in contributing to Stan’s ongoing development, you may contact us directly or just follow the link: 

Why Support Stan?

Stan is a worthy cause: our software is free and, as users can attest, we also give a lot of free and open help through the users list. We also have an active developers list, with contributors from many countries. By supporting Stan, your organization is helping to make this state-of-the-art Bayesian data analysis program even better. You’re pushing forward the frontiers of science and helping your own work as well as others’.

Leadership Body

All financial decisions related to NumFOCUS are made by Stan’s Leadership Body for NumFOCUS:

  • Michael Betancourt (University of Warwick)
  • Tamara Broderick (Massachusetts Institute of Technology)
  • Bob Carpenter (Columbia University)
  • Andrew Gelman (Columbia University)
  • Elizabeth Wolkovich (Harvard University)

About NumFOCUS

The mission of NumFOCUS is to promote sustainable high-level programming languages, open code development, and reproducible scientific research. We accomplish this mission through our educational programs and events as well as through fiscal sponsorship of open source data science projects. We aim to increase collaboration and communication within the scientific computing community.

quoted from the NumFOCUS home page


We gratefully acknowledge unrestricted donations from the following corporations.

Research and Development Grants

Foundation Grants

We gratefully acknowledge support from the following foundation.

  • Alfred P. Sloan Foundation
    (G-2015-13987: Stan Community and Continuity)

Government Grants

Stan is currently funded in part by the following grants.

  • U. S. Office of Naval Research
    (Informative Priors for Bayesian Inference and Regularization)

  • U. S. Institute of Education Sciences
    (Statistical and Research Methodology: Solving Difficult Bayesian Computation Problems in Education Research Using Stan)

Stan was previously funded in part by the following grants.

  • U. S. National Science Foundation
    (CNS-1205516: Stan: Scalable Software for Bayesian Modeling)

  • U. S. Department of Energy
    (DE-SC0002099 Petascale Computing)

  • U. S. National Science Foundation
    (ATM-0934516: Reconstructing Climate from Tree Ring Data).

  • U. S. Institute of Education Sciences
    (ED-GRANTS-032309-005: Practical Tools for Multilevel Hierarchical Modeling in Education Research)
    (R305D090006-09A: Practical Solutions for Missing Data)

The high-performance computing facility used for large-scale evaluations was funded through the following grant.

  • U. S. National Institutes of Health
    (1G20RR030893-01: Research Facility Improvement Grant)

Industrial Consulting

Stan is currently funded in part through consulting arrangements with the following corporations.