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  1. pypi.org › project › apache-airflowapache-airflow - PyPI

    Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks.

  2. Learn how to install and run Airflow, a workflow management platform, on your local machine using Python 3. Follow the steps to set up Airflow Home, use constraint files, and access the Airflow UI.

  3. Apache Airflow is an open-source platform for developing, scheduling, and monitoring batch-oriented workflows in Python code. Learn how to use Airflow's extensible framework, web interface, and rich features to build and manage your workflows.

  4. Apache Airflow® is a scalable, dynamic and extensible platform to programmatically author, schedule and monitor workflows in Python. Learn how to install, use and integrate Airflow with various cloud services and technologies.

  5. Apache Airflow. Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks.

  6. To facilitate management, Apache Airflow supports a range of REST API endpoints across its objects. This section provides an overview of the API design, methods, and supported use cases. Most of the endpoints accept JSON as input and return JSON responses.

  7. 8 de ago. de 2023 · Step 3: Install Apache Airflow. With Python and Pip installed, you can now proceed to install Apache Airflow using the following command: $ pip3 install apache-airflow