Open SourceAutomation39k
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/airflowLanguage
PythonWhat 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