The OpenDP team is delighted (if a bit tardy) to announce the release of OpenDP Library 0.5!
As a reminder, the OpenDP Library is a modular collection of algorithms for analyzing sensitive datasets, with a flexible and extensible approach to tracking privacy, and a vetted implementation. It can be used to build a wide range of data processing pipelines and privacy-preserving applications. The OpenDP Library is available as binaries for Python on PyPI, for Rust on crates.io, or in source form on GitHub. ... Read more about Introducing OpenDP Library v0.5