Apache Airflow on Astronomer

What it does

Our managed Apache Airflow includes one-click DAG deployment through our Astro CLI, access to our library of hooks and operators, serverless worker scalability, and professional support.

Apache Airflow is the open-source standard for orchestrating data pipelines. Learn how it works, when to use it, and how to run it in production with Astro.

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  Apache Airflow on Astronomer: Enterprise Edition2018 · astronomer.io · ▲10

  The easiest way to run Apache Airflow on your infrastructure

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  Afctl – CLI to manage and deploy Airflow projects faster and smoother2020 · github.com · ▲57

  afctl helps to manage and deploy Apache Airflow projects faster and smoother. - qubole/afctl

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  Dagster+2024 · dagster.io · ▲302

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  Visualize Airflow's schedule by exporting future DAG runs to GCalendar2020 · github.com · ▲37

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  DAGForgeNov 2025 · dagforge.com · ▲8

  Built DAGForge to make generating and validating Airflow DAGs much faster. Most AI tools produce broken or incomplete DAGs, so I added: Airflow-aware validation (operators, imports, params) Syntax + security checks Deterministic JSON parsing to avoid hallucinations Support for local or cloud LLMs Would love feedback from data engineers and Airflow users. Demo: https://dagforge.com

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