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anaconda.org : airflow-with-azure_cosmos
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
Keywords: airflow, apache, apache-airflow, hacktoberfest, python, scheduler, workflow
Latest release: over 2 years ago
First release: over 3 years ago
Stars: 29,539 on GitHub
Forks: 12,089 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: about 1 month ago