Today, we’re happy to announce that OpenDP is taking over the maintenance and further development of Tumult Labs’ open-source software! Tumult’s libraries are based on a similar programming framework as OpenDP, and set a high bar for correctness and robustness, so joining efforts is a natural fit. A few former employees of Tumult Labs have…
2025 OpenDP Community Meeting Recap
Read on to catch up with the highlights of the 2025 OpenDP Community Meeting and find out how you can get involved with our community!…
Announcing DP Wizard v0.5
Complementing the v0.14 release of the OpenDP Library, we’d also like to announce v0.5 of DP Wizard, a user interface that makes it easier to get started with differential privacy….
Announcing OpenDP Library 0.14
We’re happy to announce v0.14 of the OpenDP Library!
This release has a number of features that make common analyses easier and more idiomatic, including identifier truncation, synthetic data generation, and linear regression, as well as enhancements to the framework like odometers and additions to the suite of core differentially private mechanisms….
Announcing OpenDP Library 0.13 and DP Wizard
You’ll find new features in the 0.13 release and an update for DP Wizard in the details below. The OpenDP library and DP Wizard are improved with your feedback and contributions, so please check out these tools and let us know what you think via our slack channel or emailing us directly at info@opendp.org!…
Announcing OpenDP Library 0.12!
The OpenDP team is excited to bring you our latest release, OpenDP Library 0.12! The OpenDP Library is a modular collection of algorithms for building privacy-preserving applications, with an extensible approach to tracking privacy, and a vetted implementation. It is available as binaries for Python on PyPI, for R on R-universe, for Rust on crates.io, or in source…
Announcing OpenDP Library 0.11
The OpenDP team is excited to bring you our latest release, OpenDP Library 0.11! The OpenDP Library is a modular collection of algorithms for building privacy-preserving applications, with an extensible approach to tracking privacy, and a vetted implementation. It is available as binaries for Python on PyPI, for R on R-universe, for Rust on crates.io, or in source…
Announcing OpenDP Library 0.10
The OpenDP team is excited to bring you our latest release, OpenDP Library 0.10! The OpenDP Library is a modular collection of algorithms for building privacy-preserving applications, with an extensible approach to tracking privacy, and a vetted implementation. It is available as binaries for Python on PyPI, for R on R-universe, for Rust on crates.io, or in source form…
Announcing the OpenDP Library 0.9
This release features new measurements and transformations, expanded functionality of user-defined primitives, proofs, and R-language bindings. We are continually working on improving the usability and expanding audiences that would benefit from the library. This is a major step in that direction with additional features coming this next quarter. Read more about them below!…
Announcing OpenDP Library 0.8
The OpenDP team is excited to bring you our latest release, OpenDP Library 0.8! The OpenDP Library is a modular collection of algorithms for building privacy-preserving applications, with an extensible approach to tracking privacy, and a vetted implementation. It is available as binaries for Python on PyPI, for Rust on crates.io, or in source form…