Skip to main content
Pre-release

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

MPLang: A Programming Language for Multi-Party Computation

CircleCI Lint Mypy License

MPLang is a Python-native library for building and executing multi-party and multi-device programs. It simplifies secure computation by allowing developers to write a single program that orchestrates multiple parties in a synchronous, SPMD (Single Program, Multiple Data) fashion.

Features

  • Single-Controller SPMD: Write one program that runs across multiple parties in lockstep.
  • Explicit Device Placement: Clearly annotate and control where data lives and computation happens (e.g., on party P0, P1, or a secure SPU).
  • Function-Level Compilation: Use the @mplang.function decorator to compile Python functions into an auditable, optimizable graph representation.
  • Pluggable Architecture: Easily extend MPLang with new frontends (like JAX, Ibis) and backends (like StableHLO, SPU).

Getting Started

Installation

You'll need a modern Python environment (3.10+). We recommend using uv for fast installation.

# Install uv (if not already installed)
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install MPLang from PyPI
uv pip install mplang

Quick Example

Here's a taste of what MPLang looks like. This example shows a "millionaire's problem" where two parties compare their wealth without revealing it.

import mplang
import mplang.device as mpd
from numpy.random import randint

# Use a decorator to compile this function for multi-party execution
@mplang.function
def millionaire():
    # Alice's value, placed on device P0
    x = mpd.device("P0")(randint)(0, 1000000)
    # Bob's value, placed on device P1
    y = mpd.device("P1")(randint)(0, 1000000)
    # The comparison happens on a secure device (SPU)
    z = mpd.device("SPU")(lambda a, b: a < b)(x, y)
    return z

# Set up a local simulator with 2 parties
sim = mplang.Simulator(2)

# Evaluate the compiled function
result = mplang.eval(sim, millionaire)

# Securely fetch the result
print("Is Alice poorer than Bob?", mplang.fetch(sim, result))

Learn More

  • Tutorials: Check out the tutorials/ directory for in-depth, runnable examples covering conditions, loops, and more.
  • Contributing: We welcome contributions! See our Contributing Guide to get started with the development setup.

License

MPLang is licensed under the Apache 2.0 License.

Metadata

Release files for mplang-nightly 0.1.dev160

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

Source distribution (sdist)

Source distribution for mplang-nightly 0.1.dev160
File Size Uploaded
mplang_nightly-0.1.dev160.tar.gz 314.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for mplang-nightly 0.1.dev160
File Interpreter ABI Platform
mplang_nightly-0.1.dev160-py3-none-any.whl Python 3 none any Details

Total release size: 520.9 kB

Release files / mplang_nightly-0.1.dev160.tar.gz

Download URL mplang_nightly-0.1.dev160.tar.gz
Size 314.9 kB
Tags Source
SHA-256 checksum
How to use checksums
6a2bc35fb46515338be0a8035a1fb00dffbbe94709fa3e5b2b1436e2ffe5cf13
BLAKE2b-256 checksum
How to use checksums
5acbac7c8fbd619d0839ed37d9ad8f0e47f3f83abf40124a5f54161f9898b804
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via python-httpx/0.28.1

Release files / mplang_nightly-0.1.dev160-py3-none-any.whl

Download URL mplang_nightly-0.1.dev160-py3-none-any.whl
Size 206.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b8da14a70f71a11c6129e25f381913aecea3e2b11f928abdf52efaabce612238
BLAKE2b-256 checksum
How to use checksums
1970a0c49a9fe1ac77088afa3fb4ebc851230d12d49e698f37ad30daa162b893
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via python-httpx/0.28.1

Release history Release notifications | RSS feed

This release

0.1.dev160 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page