airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
About airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
What you should know about airflow
airflow — Apache Airflow - A platform to programmatically author, schedule, and monitor workflows. It is categorized under Automation and primarily built with Python. The project has gathered 45,058 stars and 16,868 forks on GitHub, indicating strong adoption among developers.
Pricing & licensing: This tool is offered free of charge , released under the Apache-2.0 license. The source code is openly available on GitHub, allowing engineers to audit, contribute, or fork as needed.
Use cases & topics: airflow is associated with the following topics: airflow, apache, apache-airflow, automation, dag, data-engineering, data-integration, data-orchestrator. Teams working in airflow / apache / apache-airflow spaces typically evaluate this kind of tool when scoping new architecture decisions or replacing legacy components.
Getting started: Check out the official GitHub repository for installation steps, configuration examples, and the latest release notes. Most teams hit value within the first week if the tool aligns with their existing Automation stack.
Editor's note from Fanny Engriana (Founder, Wardigi Digital Agency): when evaluating tools in the Automation category for our agency clients, we look at three things first — license clarity, community size, and active maintenance. Tools with explicit license terms and ongoing commits tend to remain viable across multi-year projects.