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Apache Airflow Python API Client

Apache Airflow Python API Client: Documentation Apache Airflow® Apache Airflow Core, which includes webserver, scheduler, CLI and other components that are needed for minimal Airflow installation.

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Documentation Apache Airflow® Apache Airflow Core, which includes webserver, scheduler, CLI and other components that are needed for minimal Airflow installation. Read Apache Airflow documentation » Apache Airflow CTL (airflowctl) Apache Airflow CTL (airflowctl) is a command-line interface (CLI) for Apache Airflow that interacts exclusively with the Airflow REST API. It provides a secure, auditable, and consistent way to manage Airflow deployments — without direct access to the metadata database. Read airflowctl documentation » Apache Airflow Mypy plugins Apache Airflow Mypy provides optional, independently versioned plugins that improve static type checking for Dags, custom operators, hooks, typed decorators, and task outputs. Read Apache Airflow Mypy documentation » Task SDK The Task SDK provides python-native interfaces for defining DAGs, executing tasks in isolated subprocesses and interacting with Airflow resources (e.g., Connections, Variables, XComs, Metrics, Logs, and OpenLineage events) at runtime. The goal of task-sdk is to decouple DAG authoring from Airflow internals (Scheduler, API Server, etc.), providing a forward-compatible, stable interface for writing and maintaining DAGs across Airflow versions. Read Task SDK documentation » Docker stack Airflow has an official Dockerfile and Docker image published in DockerHub as a convenience package for installation. You can extend and customize the image according to your requirements and use it in your own deployments.

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Apache Airflow®

Apache Airflow CTL (airflowctl)

Apache Airflow Mypy plugins

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Python API Client

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Task SDK