Airflow
Mature, extensible platform to author, schedule, and monitor workflows as DAGs with a rich UI and huge operator ecosystem.
workflow-orchestration-frameworksRecently released
78
Hero Score
Popularity
80
Performance
70
Ecosystem
100
Maturity
85
Dev Experience
57
⭐ 45,643 stars⬇ 4.1M downloads/wkFirst release: Jun 2015Last release: May 2026
Async Support: YesPlugin Extensions: Very highSpeed: MediumDoc Quality: HighLearning Curve: High
Pros
- • Production-grade scheduler with retries, SLAs, and backfills
- • Massive catalog of Operators/Hooks/Sensors for common systems
- • Robust UI for DAG runs, logs, and task-level observability ;Scales via Celery/Kubernetes/Local executors
Cons
- • Heavier operational footprint (DB, scheduler, workers, webserver)
- • DAG authoring can be verbose; upgrades can be opinionated
- • Best for batch workflows; streaming needs extra services