apache/airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Airflow helps you automate and manage sequences of tasks, known as workflows, that run regularly. You provide the steps of your workflow as code, and Airflow ensures they run in the right order, on schedule, and lets you track their progress. This is for data engineers, DevOps specialists, or anyone who needs to reliably orchestrate complex data pipelines or automated processes.
44,620 stars. Used by 3 other packages. Actively maintained with 711 commits in the last 30 days. Available on PyPI.
Use this if you need to schedule, monitor, and manage workflows that are mostly static and run on a recurring basis, such as daily data imports or report generation.
Not ideal if your workflows change constantly or require very dynamic, real-time adjustments between steps.
Stars
44,620
Forks
16,685
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
711
Dependencies
2
Reverse dependents
3
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