# rdragos/awesome-mpc

A curated list of multi party computation resources and links.

Repository: https://github.com/rdragos/awesome-mpc
Canonical: https://ross.abutalabs.com/products/awesome-mpc
License Family: other
Topics: secure-computation, multiparty-computation, crypto
Last push: 2026-07-24T13:46:57+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 94, release rhythm 35, longevity 100
- inputs: {"age_days": 3430, "days_push": 40, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1993, forks 283 (observed 2026-08-28T04:06:03.291693+00:00)

## What it is
A curated awesome-style list of multiparty computation (MPC) resources, including books, courses, tutorials, and open-source software such as frameworks, primitives, protocols, and tools. It serves as a central reference point for learning about and finding MPC software.

## Use cases
- find open-source MPC libraries and frameworks
- learn secure multiparty computation from books and courses
- discover MPC protocols and primitives
- keep up with actively maintained secure computation software
- find tutorials for getting started with MPC

## When to choose
- you need a starting point to explore the MPC ecosystem
- you are looking for learning material on secure computation
- you want to survey available open-source MPC implementations

## When to avoid
- you need an actual MPC implementation rather than a list of links
- you need a maintained software tool with support
- you need exhaustive or automatically updated coverage of the field

## Facets
- artifact type: learning-resource
- maturity: active
- function: cryptography, security, developer-tools
- domain: security, awesome-lists, tutorials
- platform: cross-platform
- tags: awesome-list, secure-computation, multiparty-computation, mpc, curated-list, cryptography

## Member repositories
- rdragos/awesome-mpc (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:03.291693+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:02:35.974720+00:00, confidence not recorded.
  - readme: https://github.com/rdragos/awesome-mpc (fetched 2026-08-28T04:06:03.291693+00:00, sha 3acd5948e8e0)
- Data as of 2026-08-30T08:39:29.467469+00:00.