The OpenDP Library is a modular collection of statistical algorithms that adhere to the definition of differential privacy. It can be used to build applications of privacy-preserving computations, using a number of different models of privacy. OpenDP is implemented in Rust, with bindings for easy use from Python and R.
The architecture of the OpenDP Library is based on a conceptual framework for expressing privacy-aware computations. This framework is described in the paper A Programming Framework for OpenDP.
Status
OpenDP is under development, and we expect to release new versions frequently, incorporating feedback and code contributions from the OpenDP Community. It's a work in progress, but it can already be used to build some applications and to prototype contributions that will expand its functionality. We welcome you to try it and look forward to feedback on the library! However, please be aware of the following limitations:
OpenDP, like all real-world software, has both known and unknown issues. If you intend to use OpenDP for a privacy-critical application, you should evaluate the impact of these issues on your use case.
More details can be found in the Limitations section of the User Guide.
Installation
Install OpenDP for Python with pip (the package installer for Python):
$ pip install opendp
Install OpenDP for R from an R session:
install.packages("opendp", repos = "https://opendp.r-universe.dev")
More information can be found in the Getting Started section of the User Guide.
Documentation
The full documentation for OpenDP is located at https://docs.opendp.org. Here are some helpful entry points:
Getting Help
If you're having problems using OpenDP, or want to submit feedback, please reach out! Here are some ways to contact us:
- Report a bug or request a feature on Github.
- Send general inquiries to contact@opendp.org, or email security@opendp.org if it is related to security.
- To get updates about OpenDP, email contact@opendp.org to join Slack, or join the low volume mailing list.
Contributing
OpenDP is a community effort, and we welcome your contributions to its development! If you'd like to participate, please contact us! We also have a contribution process section in the Contributor Guide.
3 maintainers
Metadata
3 maintainers
Release files for opendp 0.16.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| opendp-0.16.0.tar.gz | 769.5 kB | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| opendp-0.16.0-py3-none-manylinux_2_28_aarch64.whl | Python 3 | none | Linux glibc 2.28+ ARM64 | Details |
| opendp-0.16.0-cp310-abi3-win_amd64.whl | CPython 3.10 | abi3 | Windows x86-64 | Details |
| opendp-0.16.0-cp310-abi3-win32.whl | CPython 3.10 | abi3 | Windows x86-32 | Details |
| opendp-0.16.0-cp310-abi3-musllinux_1_2_x86_64.whl | CPython 3.10 | abi3 | Linux musl 1.2+ x86-64 | Details |
| opendp-0.16.0-cp310-abi3-manylinux_2_28_x86_64.whl | CPython 3.10 | abi3 | Linux glibc 2.28+ x86-64 | Details |
| opendp-0.16.0-cp310-abi3-macosx_11_0_arm64.whl | CPython 3.10 | abi3 | macOS 11.0+ ARM64 | Details |
| opendp-0.16.0-cp310-abi3-macosx_10_13_x86_64.whl | CPython 3.10 | abi3 | macOS 10.13+ x86-64 | Details |
Total release size: 329.6 MB
Release files / opendp-0.16.0.tar.gz
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