Resumen
A platform for defining and scheduling workflows, including data and machine learning pipelines. The repository is maintained under apache on GitHub. Its primary language is Python. See the [project README](https://github.com/apache/airflow#readme) for the supported workflows.
Características principales
- A platform for defining and scheduling workflows, including data and machine learning pipelines.
Requisitos, instalación y guía rápida
Follow the official installation guide and configure the data sources or runtime required by the example you select.
[Read the upstream installation and quickstart instructions](https://github.com/apache/airflow#readme).
[Read the upstream installation and quickstart instructions](https://github.com/apache/airflow#readme).
Uso
Begin with a small data workflow, validate source access and outputs, then expand the schedule or processing steps as needed.
[Usage examples and configuration reference](https://github.com/apache/airflow#readme).
[Usage examples and configuration reference](https://github.com/apache/airflow#readme).
Compatibilidad de modelos y casos de uso
La compatibilidad del modelo no se indica en los metadatos del repositorio.
Notas sobre la licencia y los riesgos
GitHub reports Apache-2.0 for this repository. Review the upstream license file; model weights, datasets and dependencies may have separate terms.
Source review 2026-09-05: GitHub search metadata and repository README. No runtime benchmark performed. License metadata: Apache-2.0.
Lanzamiento y mantenimiento
[View upstream releases](https://github.com/apache/airflow/releases).