pawl/awesome-etl resource
A curated list of awesome ETL frameworks, libraries, and software. observed · 2026-08-28
Health v2 · maintenance only
68/100
- Activity 80
- 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: 3984
- days_rel: n/a
- days_push: 124
- n_releases_24m: 0
Adoption not part of the score
3585 stars · 373 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
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
learning-resource · maturity active
etl workflow-automation scheduling developer-tools big-data awesome-lists cross-platform awesome-list curated-list data-pipelines etl-tools reference data-engineering automation
1 source
- readme: https://github.com/pawl/awesome-etl · fetched 2026-08-28 · d9eb01324b1b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| pawl/awesome-etl | main | 68 |
For agents
markdown · JSON · MCP: product_card(name="pawl/awesome-etl")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem