awesome-spark/awesome-spark resource
A curated list of awesome Apache Spark packages and resources. observed · 2026-08-28
Health v2 · maintenance only
63/100
- Activity 69
- Release rhythm 35
- Longevity 100
Flags: no_releases
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: 3866
- days_rel: n/a
- days_push: 187
- n_releases_24m: 0
Adoption not part of the score
1892 stars · 345 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated list of Apache Spark packages, language bindings, notebooks, and resources. It serves as a discovery index for the Spark ecosystem across Python, R, Scala, Java, and other languages.
Use cases
- find apache spark packages and libraries
- discover pyspark resources
- find spark language bindings for rust or kotlin
- learn about the spark ecosystem tools
- find notebooks and IDEs for spark development
When to choose
- you want a curated starting point for exploring the Spark ecosystem
- you need to find bindings, connectors, or tooling for a specific language with Spark
When to avoid
- you need Spark itself rather than a resource list
- you need maintained software rather than links to third-party projects
Facets
learning-resource · maturity active
developer-tools data-science big-data data-science awesome-lists cross-platform apache-spark pyspark curated-list cluster-computing spark-connect data-engineering
1 source
- readme: https://github.com/awesome-spark/awesome-spark · fetched 2026-08-28 · d0ca5897d96e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| awesome-spark/awesome-spark | main | 63 |
For agents
markdown · JSON · MCP: product_card(name="awesome-spark/awesome-spark")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem