Apache Airflow

Platform to programmatically author, schedule, and monitor workflows.

Thriving · 96
96/100
Thriving

High commit volume, frequent releases and growing activity.

Maintenance 39/40
Releases 25/25
Community 19/20
Momentum 12/15

Commit activity more than 98% of tracked projects; popularity more than 96%. How this is calculated.

Commits, last 11 months

2025-10: 663 commits 2025-11: 642 commits 2025-12: 487 commits 2026-01: 590 commits 2026-02: 593 commits 2026-03: 946 commits 2026-04: 736 commits 2026-05: 727 commits 2026-06: 729 commits 2026-07: 788 commits 2026-08: 614 commits
2025-10 7515 total 2026-08
Stars47k
Latest release3.3.2 · 17 Sept 2026
Repo updated27 Sept 2026
LicenceApache-2.0
Built withPython, Docker

Is Apache Airflow actively maintained?

Development is ongoing. The repository recorded 7515 commits over the same window, and the last three months alone account for 2131 of them.

The most recent tagged release, 3.3.2, shipped within the last month — a current, installable version exists today.

Of the 32 projects we track in Automation, Apache Airflow ranks #2 by health score — in the top quarter of its category.

What Apache Airflow actually does

Apache Airflow is an automation platform designed to programmatically author, schedule, and monitor complex workflows. It allows you to define execution pipelines as code, typically using Python, to coordinate tasks across infrastructure. The system tracks job states and dependencies, providing visibility into process completion.

Best fit: Data engineering teams and developers who need to orchestrate multi-step automated processes with strict dependency ordering and scheduling requirements.

Worth knowing: Operating this platform introduces a significant administrative burden, as it requires managing multiple moving parts like a metadata database, scheduler, and worker nodes.

Deployment notes

Because the runtime relies on Python and Docker, deployments typically require a separate persistent database for state management and an external volume for log storage.


Apache Airflow as a replacement for


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