Welcome to Airflow Stable Docs
Apache Airflow is an open‑source platform to programmatically author, schedule, and monitor workflows.
Start with a quick tutorial →Installation
Install Airflow using pip, Docker, or Kubernetes. Choose the method that fits your environment.
# Using pip
pip install "apache-airflow[postgres,celery]==2.9.0"
# Using Docker Compose
docker compose up airflowCore Concepts
Learn about DAGs, tasks, operators, sensors, and executors.
- DAG (Directed Acyclic Graph) – defines the workflow.
- Task – an individual unit of work.
- Operator – defines what a task does.
- Executor – runs tasks (e.g., Local, Celery, Kubernetes).
Community & Support
Join the community to ask questions, share ideas, and contribute.