Running Airflow locally with the Astro CLI lets you preview and debug dag changes before deploying to production. In a local Airflow environment, you can fix issues with your dags without consuming infrastructure resources or waiting on code deploy processes. The Astro CLI supports multiple modes for running Airflow locally:Documentation Index
Fetch the complete documentation index at: https://astronomer-preview.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
- Container mode (default): Uses Podman or Docker to run Airflow components in containers. All tasks run locally in the scheduler container using the local executor.
- Standalone mode: Runs Airflow directly on your machine in a virtual environment, without Docker or Podman. This can enable faster iteration in development as you don’t have to wait for containers to rebuild. Use
astro dev start --standaloneor set it as your default withastro config set dev.mode standalone. See astro dev start for all available options.