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Apache Airflow

The industry-standard platform for authoring and scheduling DAG workflows.

Apache Airflow is a battle-tested open-source platform to programmatically author, schedule, and monitor workflows defined as directed acyclic graphs in Python. It is the de facto standard for data engineering orchestration, with a vast provider ecosystem, a rich web UI for monitoring runs, and pluggable executors for scaling across Celery, Kubernetes, and more. It is governed by the Apache Software Foundation.

Repository

apache/airflow

Language

Python

What you'd build with it

  • Scheduling and monitoring complex data-engineering and ETL DAGs across many systems
  • Orchestrating recurring AI/ML training and feature pipelines with dependency management
  • Integrating hundreds of providers (cloud, databases, APIs) into one observable workflow plane

Tags

orchestrationdagdata-engineeringscheduling