# lasp-lang/partisan

High-performance, high-scalability distributed computing for the BEAM.

Repository: https://github.com/lasp-lang/partisan
Canonical: https://ross.abutalabs.com/products/partisan
Homepage: https://partisan.dev
Language: Erlang
License: Apache-2.0
License Family: permissive
Topics: erlang, elixir, distributed-systems, failure-detection, membership, gossip-round, gossip, tcp
Last push: 2026-08-31T13:24:10+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 100, release rhythm 10, longevity 100
- inputs: {"age_days": 3775, "days_push": 2, "days_rel": 388, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1047, forks 71 (observed 2026-09-01T02:14:03.645719+00:00)

## What it is
Partisan is a scalable, TCP-based membership system and distribution layer for the BEAM that replaces Distributed Erlang with pluggable overlay network backends. It enables high-performance distributed actor applications with configurable topologies, named channels, and message delivery guarantees.

## Use cases
- scale an Erlang cluster beyond Distributed Erlang's node limits
- build a peer-to-peer gossip-based membership protocol on the BEAM
- run geo-distributed actor applications with lower latency
- separate control-plane and user messages across parallel TCP channels
- implement a custom overlay network with minimal code
- broadcast messages reliably across a large Erlang/Elixir cluster

## When to choose
- you need clusters larger than Distributed Erlang comfortably supports (hundreds to thousands of nodes)
- you want pluggable overlay topologies like full-mesh, client-server, or HyParView
- you need channel affinity, parallel connections, or custom failure detection
- you're building distributed actor systems in Erlang or Elixir

## When to avoid
- you have a small cluster where standard Distributed Erlang works fine
- you need a battle-tested, mainstream clustering solution with a large community
- your project doesn't run on the BEAM (Erlang/Elixir/OTP)
- you need causal delivery guarantees in production (still experimental)

## Facets
- artifact type: library
- maturity: active
- function: message-queue, serialization, networking, concurrency, rpc
- domain: microservices, backend
- platform: elixir, windows
- tags: beam, actor-model, gossip-protocol, failure-detection, overlay-network, hyparview, membership, tcp, messaging, real-time, linux, macos

## Member repositories
- lasp-lang/partisan (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-09-01T02:14:03.645719+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 2026-08-30T07:01:07.785842+00:00, confidence not recorded.
  - readme: https://github.com/lasp-lang/partisan (fetched 2026-09-01T02:14:03.645719+00:00, sha b51e74b488e0)
  - homepage: https://partisan.dev (fetched 2026-08-29T13:02:26.804699+00:00, sha adc63083bb99)
- Data as of 2026-08-30T08:39:29.467469+00:00.