# jghoman/awesome-apache-airflow

Curated list of resources about Apache Airflow

Repository: https://github.com/jghoman/awesome-apache-airflow
Canonical: https://ross.abutalabs.com/products/awesome-apache-airflow
Language: Shell
License Family: other
Topics: airflow, apache-airflow, workflow-management, awesome, awesome-list
Last push: 2026-05-07T20:31:04+00:00

## Health v2 (maintenance only)
Score: 69/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 81, release rhythm 35, longevity 100
- inputs: {"age_days": 3156, "days_push": 118, "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 3925, forks 511 (observed 2026-08-28T04:08:29.854539+00:00)

## What it is
A curated awesome-list of resources about Apache Airflow, the workflow orchestration platform. It collects tutorials, deployment solutions, books, podcasts, videos, libraries, and managed service providers.

## Use cases
- find tutorials for learning apache airflow
- discover ways to deploy airflow on kubernetes or cloud
- find books and podcasts about airflow
- locate airflow hooks and utility libraries
- compare managed airflow-as-a-service providers

## When to choose
- you are learning Apache Airflow and want a starting point of vetted resources
- you need deployment options like Helm charts or Docker images for Airflow
- you want to keep up with the Airflow ecosystem of tools and content

## When to avoid
- you need the Airflow software itself rather than a resource list
- you need an actively maintained tool rather than a link collection

## Facets
- artifact type: learning-resource
- maturity: active
- function: workflow-automation, etl, scheduling, developer-tools
- domain: awesome-lists, developer-tools
- platform: python, cloud
- tags: apache-airflow, curated-list, orchestration, data-pipelines, awesome-list, data-engineering, automation, docker, kubernetes

## Member repositories
- jghoman/awesome-apache-airflow (main) score 69

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:29.854539+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 2026-08-29T18:24:44.263112+00:00, confidence not recorded.
  - readme: https://github.com/jghoman/awesome-apache-airflow (fetched 2026-08-28T04:08:29.854539+00:00, sha c6bea07eb5ab)
- Data as of 2026-08-30T08:39:29.467469+00:00.