# discoproject/disco

a Map/Reduce framework for distributed computing

Repository: https://github.com/discoproject/disco
Canonical: https://ross.abutalabs.com/products/disco
Homepage: http://discoproject.org
Language: Erlang
License: BSD-3-Clause
License Family: permissive
Last push: 2018-01-30T20:55:22+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 6614, "days_push": 3137, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1630, forks 242 (observed 2026-08-28T04:05:13.982479+00:00)

## What it is
Disco is an open-source distributed MapReduce framework written in Erlang with a Python job API, originally developed at Nokia Research Center. It handles job scheduling, fault tolerance, load balancing, and includes a petabyte-scale distributed filesystem (DDFS) and DiscoDB for indexing and querying billions of key-value pairs.

## Use cases
- run mapreduce jobs on a cluster of unreliable machines
- analyze and process large datasets in parallel with Python
- perform log analysis across many servers
- full-text indexing of billions of records
- probabilistic modelling and data mining at scale
- count word frequencies in large text corpora

## When to choose
- you need a lightweight self-hosted MapReduce framework with a simple Python API
- you want data-locality-preserving IO and a built-in distributed filesystem
- you need to run jobs written in any language via the worker protocol

## When to avoid
- you need actively maintained software - the last release was in 2018
- you prefer modern alternatives like Spark, Hadoop, or Dask
- you need Windows support or cloud-managed services

## Facets
- artifact type: framework
- maturity: abandoned
- function: etl, streaming, data-science
- domain: big-data, microservices
- platform: python, elixir, self-hosted
- tags: mapreduce, big-data, distributed-computing, erlang, python-api, distributed-filesystem, data-engineering, linux, macos

## Member repositories
- discoproject/disco (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:13.982479+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 2026-08-30T03:47:53.263138+00:00, confidence not recorded.
  - readme: https://github.com/discoproject/disco (fetched 2026-08-28T04:05:13.982479+00:00, sha 5cf3b18fdec1)
  - homepage: http://discoproject.org (fetched 2026-08-29T11:20:33.905321+00:00, sha c1be66a700ef)
- Data as of 2026-08-30T08:39:29.467469+00:00.