Ross ROSS = Recommend OSS · open-source software intelligence for agents

Apache Airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows observed · 2026-10-12

github.com/apache/airflow · homepage · Python · Apache-2.0 (permissive) observed · 2026-10-12

Health v2 · maintenance only

98/100

  • Activity 99
  • Release rhythm 95
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 15
  • age_days: 4208
  • days_rel: 33
  • days_push: 9
  • n_releases_24m: 36

Full methodology

Adoption not part of the score

47148 stars · 17997 forks observed · 2026-10-12

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-28, confidence 0.99

Apache Airflow is an open‑source platform for programmatically authoring, scheduling, and monitoring complex workflows. It provides a web UI, CLI, and REST API to manage DAGs and tasks across distributed workers.

Use cases

  • schedule and monitor ETL pipelines
  • orchestrate data integration workflows
  • manage machine‑learning model training pipelines
  • automate recurring infrastructure tasks
  • run batch jobs with complex dependencies
  • track and visualize task execution in a web UI

When to choose

  • You need a highly extensible, Python‑based workflow engine that can scale to many workers.
  • Your pipelines require dynamic DAG generation, custom operators, and rich templating.
  • You want a single platform that offers a web UI, CLI, and API for workflow management.

When to avoid

  • You prefer a low‑code or drag‑and‑drop solution with minimal programming.
  • Your workloads are simple cron jobs that don’t need a full orchestration layer.
  • You need a lightweight scheduler with a tiny footprint for embedded devices.

Facets

application · maturity active

cli http-server api-framework web-framework windows cloud python workflow-orchestration dag airflow scheduler modular-architecture extensible data-engineering data-integration devops linux macos docker kubernetes

4 sources

Member repositories

RepositoryRoleHealth v2
apache/airflowmain98
apache/airflow-client-gosdk56
apache/airflow-sitedocs98

For agents

markdown · JSON · MCP: product_card(name="apache/airflow")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem