Developing Open Source Tools for
Differential Privacy
OpenDP is a community effort to build trustworthy, open-source software tools for statistical analysis of sensitive private data. These tools, which we call OpenDP, offer the rigorous protections of differential privacy for the individuals who may be represented in confidential data and statistically valid methods of analysis for researchers who study the data.
Featured Resources
Use Our Tools
Do you have data to share or an application that can benefit from differential privacy? We can help.
Summer Interns Program
Are you an undergraduate or grad student interested in advancing differential privacy? Apply to join us this summer!
Visiting Fellows Program
Are you an established engineer or scholar looking for a part-time opportunity to engage with differential privacy? Apply to work with us!
Working Groups
Want to be part of a group of community members focused on technical discussions, sharing ideas, or collaboratively working on a project? Click here to learn more and join!
Join us on ourSlack, Github,andMailing List
Upcoming Events
2026 OpenDP Community Meeting
We are very excited to announce that the 2026 OpenDP Community Meeting will be held on October 15-16, 2026 in Boston! This event will be held at the David Rubenstein Treehouse and the Science and Engineering Complex at Harvard’s Allston Campus….
2026 OpenDP Community Meeting
We are very excited to announce that the 2026 OpenDP Community Meeting will be held on October 15-16, 2026 in Boston! This event will be held at the David Rubenstein Treehouse and the Science and Engineering Complex at Harvard’s Allston Campus….
Latest News
- Announcing OpenDP Library 0.15We’re happy to announce the release of OpenDP v0.15, and we also want to preview our plans for upcoming releases….
- Harvard highlights the Differential Privacy Deployments RegistryThe Harvard John A. Paulson School of Engineering and Applied…
- Announcing DP Wizard v0.8Since the DP Wizard v0.6 release in the fall, we’ve…
