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Workflow Authoring Frameworks · Awesome GitHub Repositories

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Awesome GitHub RepositoriesWorkflow Authoring Frameworks

Libraries and interfaces for defining complex task dependencies and execution logic as code.

Distinguishing note: Focuses on the programmatic definition of workflows rather than the execution engine itself.

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  • apache/airflow

    apache/airflow

    44,326View on GitHub↗

    Airflow is a platform for programmatically authoring, scheduling, and monitoring complex data pipelines. It functions as a workflow automation engine that manages the lifecycle of recurring business processes by executing code-defined task dependencies. By representing workflows as directed acyclic graphs, the system ensures that task execution order and data flow are explicitly defined and reliably maintained across distributed computing environments. The platform distinguishes itself through a highly modular, provider-based architecture that decouples core orchestration logic from external

    Define workflows and execute tasks in isolated subprocesses using native interfaces that separate business logic from the underlying execution environment.

    Pythonairflowapacheapache-airflow
    44,326View on GitHub↗