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 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 0.12!
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 0.8
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…
Announcing OpenDP Library v0.7
The OpenDP team is proud to announce the release of OpenDP Library v0.7! 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, forRust on crates.io, or in source form on GitHub….
Introducing OpenDP Library v0.6
Dear OpenDP Community, The OpenDP team is delighted to announce the release of OpenDP Library 0.6! 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…
OpenDP Library v0.5 Overview
Dear OpenDP Community, The OpenDP team is delighted (if a bit tardy) to announce the release of OpenDP Library 0.5! This release is packed with enhancements to make the OpenDP Library more versatile and improve its robustness. The changes cover multiple aspects of the library, broadening the kinds of computations that can be performed, and…
Introducing OpenDP Library v0.4
Dear OpenDP Community, We’re pleased to release version 0.4 of the OpenDP Library. Highlights include several new measurements and transformations, improved floating point handling, and general code cleanup. The full list of changes can be found in the CHANGELOG. It’s available now on PyPI, crates.io, and GitHub. As always, we look forward to receiving your feedback, which…