{"repo":"airflow-laminar/airflow-supervisor","free":true,"listed":false,"github":"https://github.com/airflow-laminar/airflow-supervisor","clone":"git clone https://github.com/airflow-laminar/airflow-supervisor.git","description":"Airflow utilities for running long-running or always-on jobs with supervisord","language":"Python","stars":16,"topics":["airflow","apache-airflow","process-manager","process-monitor","python","scheduler","supervisor","supervisord"],"license":"Apache-2.0","category":"data-pipelines","readme_excerpt":"airflow-supervisor Run and monitor supervisord-managed jobs from Apache Airflow. The generated lifecycle creates a dedicated supervisord instance, starts and monitors programs with airflow-ha , handles retriggers, and optionally stops and removes the instance. SupervisorSSH manages the same lifecycle remotely. Documentation - Tutorial: run a supervised job from Airflow - How-to guides - Why Airflow delegates process ownership - API reference Published documentation is available at airflow-laminar.github.io/airflow-supervisor. Ecosystem - supervisor-pydantic supplies supervisord models and lifecycle tools. - systemd-pydantic and cron-pydantic model alternative runtimes. - airflow-systemd provides the analogous systemd lifecycle. - airflow-cron converts cron jobs into ordinary Airflow tasks. - airflow-pydantic supplies declarative task, host, and connection models. - airflow-config produces YAML-driven DAGs. [!NOTE] This library was generated using copier from the Base Python Project Template repository.","default_branch":null,"files":null,"tree":[],"storefront":"/r/airflow-laminar","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/airflow-laminar/airflow-supervisor/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}