Vue d’ensemble
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.
Fonctionnalités clés
- A platform for defining and scheduling workflows, including data and machine learning pipelines.
Prérequis, installation et démarrage rapide
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).
Utilisation
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).
Compatibilité des modèles et cas d’usage
La compatibilité des modèles n’est pas indiquée dans les métadonnées du dépôt.
Licence et notes sur les risques
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.
Publication et maintenance
[View upstream releases](https://github.com/apache/airflow/releases).