Privacy-preserving survival analysis using multiparty computation

SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keeping your private data protected.

(almost) total specification in Python

Secure Multi-Party Computation in Haskell

Wasm powered Jupyter running in the browser 💡

Zcash - Internet Money

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

Parsl - a Python parallel scripting library

PyPy is a very fast and compliant implementation of the Python language.

An Alternative library for uvloop compatability with windows

technical whitepaper

Secure Multi-Party Computation (MPC) with Go. This project implements secure two-party computation with Garbled circuit protocol.

A framework for generic hybrid two-party computation and private inference with neural networks

An efficient, user-friendly, modular, and extensible framework for mixed-protocol secure multi-party computation with two or more parties

MPyC: Multiparty Computation in Python

A maliciously secure two-party computation engine which is embeddable and accessible

WebRTC and ORTC implementation for Python using asyncio

Easy-to-use wrapper for WebRTC DataChannels peer-to-peer connections written in Rust and compiling to WASM.

Painless peer-to-peer WebRTC networking for rust wasm (and native!)

The Python implementation of the libp2p networking stack 🐍 [under development]

Implementation of top-down and bottom-up skew heaps in Haskell.

Zero-Knowledge Swiss Knife

This is the development repository for the OpenFHE library. The current version is 1.4.2 (released on October 20, 2025).

PyScript is an open source platform for Python in the browser. Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2

Run Web Servers in Web Browsers over WebRTC

FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or an…

Practical Data Privacy