mesos/spark
Lightning-fast cluster computing in Java, Scala and Python. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 6001
- days_rel: n/a
- days_push: 4530
- n_releases_24m: 0
Adoption not part of the score
1418 stars · 380 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity abandoned
machine-learning data-science etl streaming concurrency big-data data-science microservices analytics jvm python cross-platform cluster-computing apache-spark moved-repository mapreduce in-memory-computing data-engineering
1 source
- readme: https://github.com/mesos/spark · fetched 2026-08-28 · 3c7ced52c205
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| mesos/spark | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem