# awesome-spark/awesome-spark

A curated list of awesome Apache Spark packages and resources.

Repository: https://github.com/awesome-spark/awesome-spark
Canonical: https://ross.abutalabs.com/products/awesome-spark
Language: Shell
License: CC0-1.0
License Family: permissive
Topics: apache-spark, pyspark, awesome, sparkr
Last push: 2026-02-27T08:06:58+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 69, release rhythm 35, longevity 100
- inputs: {"age_days": 3866, "days_push": 187, "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 1892, forks 345 (observed 2026-08-28T04:05:50.445173+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: developer-tools, data-science
- domain: big-data, data-science, awesome-lists
- platform: cross-platform
- tags: apache-spark, pyspark, curated-list, cluster-computing, spark-connect, data-engineering

## Member repositories
- awesome-spark/awesome-spark (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:50.445173+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 2026-08-30T03:12:57.013294+00:00, confidence not recorded.
  - readme: https://github.com/awesome-spark/awesome-spark (fetched 2026-08-28T04:05:50.445173+00:00, sha d0ca5897d96e)
- Data as of 2026-08-30T08:39:29.467469+00:00.