Kedro is an open-sourced Python framework for creating maintainable and modular data science code.

Kedro

Hello :slightly_smiling_face:
I would like to know if, when generating the Airflow DAG for a Kedro project using the `kedro-airflow` tool, is it possible to create a separate DAG for each pipeline in the project rather than a single DAG per project? If so, how can I configure each DAG to specify start times and other parameters for each DAG corresponding to each pipeline in the project?

I think I've found the answer to my question :smile: For generating DAGs for specific Kedro pipelines, I can use `kedro airflow create -p &lt;pipeline_name&gt;`. For configuration options, here’s what’s available:
• `-e, --env`: Set the Kedro configuration environment, default is `local`.
• `-j, --jinja-file`: Template file for the DAGs.
• `--params`: Pass extra parameters to the context initializer.
• `--conf-source`: Path to the configuration folder or archived file for the DAG.


exactly! does that fulfill your needs <@U07PTEG1SLW>?