# pawl/awesome-etl

A curated list of awesome ETL frameworks, libraries, and software.

Repository: https://github.com/pawl/awesome-etl
Canonical: https://ross.abutalabs.com/products/awesome-etl
License: CC0-1.0
License Family: permissive
Topics: awesome, awesome-list, etl
Last push: 2026-05-01T06:27:21+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 80, release rhythm 35, longevity 100
- inputs: {"age_days": 3984, "days_push": 124, "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 3585, forks 373 (observed 2026-08-28T04:08:11.096665+00:00)

## What it is
A curated awesome-list of ETL (extract, transform, load) frameworks, libraries, and software, favoring mainstream, well-supported open-source tools. It covers workflow engines, job schedulers, language-specific libraries, cloud services, and big data tooling.

## Use cases
- find an ETL framework for building data pipelines
- compare workflow orchestration tools like Airflow, Dagster, and Prefect
- discover open-source data pipeline libraries for Python or Java
- choose a job scheduler for batch data jobs
- learn what ETL tools are widely adopted in production

## When to choose
- you are evaluating ETL or workflow orchestration tools and want a vetted shortlist
- you prefer mainstream, battle-tested libraries over niche or novel tools
- you want a language-agnostic overview of the data engineering ecosystem

## When to avoid
- you need detailed tutorials or implementation guidance rather than a link list
- you want exhaustive coverage including experimental or niche tools
- you need a runnable tool rather than a reference catalog

## Facets
- artifact type: learning-resource
- maturity: active
- function: etl, workflow-automation, scheduling, developer-tools
- domain: big-data, awesome-lists
- platform: cross-platform
- tags: awesome-list, curated-list, data-pipelines, etl-tools, reference, data-engineering, automation

## Member repositories
- pawl/awesome-etl (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:11.096665+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 2026-08-29T18:33:55.540894+00:00, confidence not recorded.
  - readme: https://github.com/pawl/awesome-etl (fetched 2026-08-28T04:08:11.096665+00:00, sha d9eb01324b1b)
- Data as of 2026-08-30T08:39:29.467469+00:00.