Workflow Orchestration Platform
45.0k 2026-04-13
apache/airflow
A robust open-source platform for programmatically authoring, scheduling, and monitoring data workflows.
Core Features
Programmatic workflow authoring (Python DAGs)
Flexible workflow scheduling (cron-like, event-driven)
Comprehensive workflow monitoring (UI, logs)
Scalable and extensible architecture
Rich set of operators and sensors
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 flexible and scalable solution for orchestrating data pipelines. Airflow helps manage dependencies, track progress, and handle failures, making it an essential tool for data engineers and scientists to build reliable and maintainable data processing systems. Its extensible nature supports integration with various data sources and services.