# manuzhang/awesome-streaming

a curated list of awesome streaming frameworks, applications, etc

Repository: https://github.com/manuzhang/awesome-streaming
Canonical: https://ross.abutalabs.com/products/awesome-streaming
Homepage: https://manuzhang.github.io/awesome-streaming
Language: JavaScript
License Family: other
Topics: awesome-list, stream-processing, awesome, list
Last push: 2026-08-26T19:49:25+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 4277, "days_push": 7, "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 3009, forks 322 (observed 2026-08-28T04:07:37.714820+00:00)

## What it is
A curated awesome-list of stream processing frameworks, libraries, applications, benchmarks, and readings. It includes a companion website that tracks updates to the listed projects.

## Use cases
- find open-source stream processing frameworks
- compare streaming engines like Flink, Kafka, and Storm
- discover data pipeline and event streaming tools
- find readings and benchmarks on stream processing
- keep up with updates in the streaming ecosystem

## When to choose
- you need an overview of the stream processing ecosystem
- you are evaluating streaming engines or messaging platforms
- you want a starting point for learning about real-time data processing

## When to avoid
- you need a runnable streaming tool rather than a list of links
- you need guaranteed maintenance or licensing of listed projects

## Facets
- artifact type: learning-resource
- maturity: active
- function: streaming, developer-tools, documentation
- domain: big-data, awesome-lists, developer-tools
- platform: -
- tags: awesome-list, stream-processing, curated-list, data-pipelines, real-time, data-engineering, web-server

## Member repositories
- manuzhang/awesome-streaming (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:37.714820+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 2026-08-29T18:47:03.239496+00:00, confidence not recorded.
  - readme: https://github.com/manuzhang/awesome-streaming (fetched 2026-08-28T04:07:37.714820+00:00, sha ea339cbd0d5d)
  - homepage: https://manuzhang.github.io/awesome-streaming (fetched 2026-08-29T09:45:49.588541+00:00, sha 62b5e8c80182)
- Data as of 2026-08-30T08:39:29.467469+00:00.
