Introduction

What is OpenDP?

OpenDP is a community effort to build trustworthy, open source software tools for statistical analysis of sensitive private data using differential privacy.

Various tools build upon the OpenDP library and are known (along with the library itself) as the OpenDP Commons. The OpenDP library and examples of these tools are shown in the diagram below.

Who Should Read This Guide?

This guide is intended primarily for developers or data scientists who want to make programmatic use of the OpenDP library or its Python bindings.

Data scientists and others who are more interested in a graphical user interface should review the offerings in the OpenDP Commons.

Potential contributors to OpenDP should read the Developer Guide.

Getting Help

If you have questions or feedback regarding OpenDP, please feel free to post on GitHub Discussions.