Tumult's differential privacy primitives

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  • License: Apache Software License (Apache-2.0)
  • Requires: Python <3.13, >=3.9.0
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Project description

Tumult Core

Tumult Core is a programming framework for implementing differentially private algorithms.

The design of Tumult Core is based on the design proposed in the OpenDP White Paper, and can automatically verify the privacy properties of algorithms constructed from Tumult Core components. Tumult Core is scalable, includes a wide variety of components, and supports multiple privacy definitions.

🚨 Important Update: the Tumult Labs Team is Joining LinkedIn 🚨

The Tumult Labs team has joined LinkedIn! 🎉 As part of this transition, we are exploring options for the future of Tumult Core, including finding a new home for the project. 🏡 We greatly appreciate the community’s support and contributions. If your organization is interested in maintaining or adopting Tumult Core, please reach out! 📩 For now, the repository remains available, and we encourage users to continue engaging with the project. We’ll provide updates as soon as we have more to share. — The Tumult Labs Team 💙

Installation

See the installation instructions in the documentation for information about setting up prerequisites such as Spark and Java.

Once the prerequisites are installed, you can install Tumult Core using pip.

pip install tmlt.core

Documentation

The full documentation is located at https://docs.tmlt.dev/core/latest.

Support

If you have any questions/concerns, please create an issue or reach out to us on Slack.

Contributing

We are not yet accepting external contributions, but please let us know if you are interested in contributing via Slack.

See CONTRIBUTING.md for information about installing our development dependencies and running tests.

License

Copyright Tumult Labs 2025

The Tumult Platform source code is licensed under the Apache License, version 2.0 (Apache-2.0). The Tumult Platform documentation is licensed under Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA-4.0).

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0.19.0rc3 pre-release

0.19.0rc1 pre-release

This version

0.18.2

0.18.1

0.18.0

0.17.0

0.16.5

0.16.3 yanked

Reason this release was yanked:

This release contained a runtime error due to a bad type declaration

0.16.2

0.16.1

0.16.0

0.15.2

0.15.1

0.15.0 yanked

Reason this release was yanked:

Incompatibility between Pandas 2.0 and PySpark

0.14.2

0.14.1

0.14.0

0.13.0

0.12.0

0.11.6 yanked

Reason this release was yanked:

Bug introduced unanticipated backwards incompatibility

0.11.5

0.11.4

0.11.3

0.11.2

0.11.1

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0.10.2

0.10.2a1 pre-release

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Reason this release was yanked:

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0.8.3

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