Overview
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.
Key features
- A platform for defining and scheduling workflows, including data and machine learning pipelines.
Requirements, installation and quick start
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).
Usage
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).
Model compatibility and use cases
Model compatibility is not stated in the repository metadata.
License and risk notes
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.
Release and maintenance
[View upstream releases](https://github.com/apache/airflow/releases).