データエンジニアリングとパイプライン

airflow

apache/airflow

A platform for defining and scheduling workflows, including data and machine learning pipelines.

★ 46.7Kスター
⑂ 17.8Kフォーク数
2151未解決の問題
Python言語
Apache-2.0ライセンス
Q85編集部スコア

概要

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.

主な機能

  • A platform for defining and scheduling workflows, including data and machine learning pipelines.

要件、インストール、クイックスタート

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).

使用方法

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).

モデルの互換性とユースケース

リポジトリのメタデータにモデル互換性の記載がありません。

ライセンスとリスクに関する注意事項

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.

リリースとメンテナンス

[View upstream releases](https://github.com/apache/airflow/releases).

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