# mesos/spark

Lightning-fast cluster computing in Java, Scala and Python.

Repository: https://github.com/mesos/spark
Canonical: https://ross.abutalabs.com/products/mesos-spark
Language: Scala
License Family: other
Last push: 2014-04-08T20:31:01+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": 6001, "days_push": 4530, "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 1418, forks 380 (observed 2026-08-28T04:04:40.203958+00:00)

## What it is
This is the original UC Berkeley AMPLab repository for Apache Spark, a fast cluster computing system supporting Java, Scala, and Python. The repository has moved to the Apache Software Foundation and now only contains a pointer to the new location at github.com/apache/spark.

## Use cases
- run large-scale data processing across a cluster
- write distributed data pipelines in Scala or Python
- perform in-memory iterative computations for machine learning
- process streaming data at scale
- find the current Apache Spark codebase

## When to choose
- you need the historical pre-Apache Spark codebase for research or archaeology

## When to avoid
- you want to use or contribute to Spark today - use apache/spark instead
- you need documentation, releases, or community support
- you expect this repository to contain any code

## Facets
- artifact type: library
- maturity: abandoned
- function: machine-learning, data-science, etl, streaming, concurrency
- domain: big-data, data-science, microservices, analytics
- platform: jvm, python, cross-platform
- tags: cluster-computing, apache-spark, moved-repository, mapreduce, in-memory-computing, data-engineering

## Member repositories
- mesos/spark (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:40.203958+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 2026-08-30T04:37:58.579696+00:00, confidence not recorded.
  - readme: https://github.com/mesos/spark (fetched 2026-08-28T04:04:40.203958+00:00, sha 3c7ced52c205)
- Data as of 2026-08-30T08:39:29.467469+00:00.