{"library":"dag-factory","type":"library","category":null,"description":"dag-factory is an open-source Python library that dynamically generates Apache Airflow DAGs from YAML configuration files. It enables users to define complex data pipelines using a declarative syntax, reducing the need for extensive Python knowledge and promoting consistency across many DAGs. The library is actively maintained by Astronomer, with the current stable version being 1.0.1, and receives regular updates and feature enhancements.","language":"python","status":"active","version":"1.0.1","tags":["airflow","dag","yaml","automation","declarative","data-pipeline"],"last_verified":"Fri May 22","install":[{"cmd":"pip install dag-factory","imports":["from dagfactory import load_yaml_dags"]},{"cmd":"pip install dag-factory[all]","imports":[]},{"cmd":"pip install dag-factory[kubernetes]","imports":[]}],"homepage":"https://dagfactory.io","github":"https://github.com/astronomer/dag-factory","docs":null,"changelog":null,"pypi":"https://pypi.org/project/dag-factory/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":27.2,"avg_import_s":5.67,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/dag-factory/compatibility"}}