Workflow Orchestration Platform
45.2k 2026-04-26
apache/airflow
A platform to programmatically author, schedule, and monitor data workflows.
Core Features
Programmatic workflow authoring using Python
Robust workflow scheduling capabilities
Comprehensive workflow monitoring and management UI
Scalable and distributed architecture
Detailed Introduction
Apache Airflow is an open-source platform designed to programmatically author, schedule, and monitor complex data workflows. It allows users to define workflows as Directed Acyclic Graphs (DAGs) of tasks using Python, providing a robust and flexible solution for orchestrating data pipelines, ETL processes, and other batch jobs. Its powerful scheduler, rich user interface, and extensibility make it a cornerstone for modern data engineering and MLOps practices, enabling reliable and automated data processing at scale.