airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Airflow schedules the pipelines that feed your models — the standard orchestrator in data engineering.
From the README
pip install 'apache-airflow==3.3.0' \ --constraint "https://raw.githubusercontent.com/apache/airflow/constraints-3.3.0/constraints-3.10.txt"
- Dynamic: Pipelines are defined in code, enabling dynamic dag generation and parameterization.
- Extensible: The Airflow framework includes a wide range of built-in operators and can be extended to fit your needs.
- Flexible: Airflow leverages the Jinja templating engine, allowing rich customizations.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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airflow has 46.2k stars on GitHub. It has been forked 17.4k times. airflow is written mainly in Python. It has been in active development since 2015. airflow is available under the Apache-2.0 license. Its main topics are airflow, apache, apache-airflow, automation.
Read the full guideWhat is airflow?
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Is airflow open source?
airflow is an open-source project. It is released under the Apache-2.0 license.
Is airflow free?
Yes. airflow is free and open source — you can use, modify and self-host it.
What license does airflow use?
airflow is available under the Apache-2.0 license.
What language is airflow written in?
airflow is written mainly in Python.
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