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Pre-release

This release is a pre-release and may not be stable for production use.

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License: MIT

Python R Rust

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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:

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.

Metadata

Release files for opendp 0.16.0b20261006001

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for opendp 0.16.0b20261006001
File Interpreter ABI Platform
opendp-0.16.0b20261006001-cp310-abi3-macosx_11_0_arm64.whl CPython 3.10 abi3 macOS 11.0+ ARM64 Details
opendp-0.16.0b20261006001-cp310-abi3-macosx_10_13_x86_64.whl CPython 3.10 abi3 macOS 10.13+ x86-64 Details

Total release size: 87.8 MB

Release files / opendp-0.16.0b20261006001-cp310-abi3-macosx_11_0_arm64.whl

Download URL opendp-0.16.0b20261006001-cp310-abi3-macosx_11_0_arm64.whl
Size 43.2 MB
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Download URL opendp-0.16.0b20261006001-cp310-abi3-macosx_10_13_x86_64.whl
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