Apache Airflow

Workflow orchestrator for authoring, scheduling and monitoring data pipelines as DAGs.

Automation Cloud & DevOps Data Science Workflow Management

Apache Airflow is workflow orchestrator for authoring, scheduling and monitoring data pipelines as DAGs.

A free or free-to-try option is available; check the official site for current limits.

OFFICIAL SOURCE

Source and setup notes

This source repository is connected to the existing product listing. The product and the source code may have different access terms.

Repository: apache/airflow ↗
Maintainer: apache
Main language: Python
Repository licence: Apache-2.0
Source checked: 2026-10-16
Repository updated: 2026-10-16

Topics found in the project README

Container setupDatabase integration

README mentions help with shortlisting; they are not installation tests or a promise that every integration is supported.

Go directly to the maintained documentation

Read the installation instructions ↗

Costs to check separately

Check current plans, usage allowances and any asset-specific licence with the provider before committing to a project. A Wrowo listing does not include a provider subscription.

Source profile, not a hands-on review. Suggest a correction · Editorial policy

Key features

✓ DAGs

✓ Operators

✓ UI

✓ Providers

✓ REST

Use cases

ETL orchestrationBatch pipelinesML jobs

FAQ

What is Apache Airflow used for?

Workflow orchestrator for authoring, scheduling and monitoring data pipelines as DAGs.

Does Apache Airflow have a free plan?

Yes, there is a free or free-to-try option.

AI tool categories

Apache Airflow

Source and setup notes

Topics found in the project README

Go directly to the maintained documentation

Costs to check separately

Key features

Use cases

FAQ

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