Kedro

Uses a Cookiecutter-based template to enforce consistent project setup, reducing onboarding time and improving team collaboration as highlighted in the README.

Leverages pure Python functions to automatically resolve pipeline dependencies, minimizing manual errors and enabling clear visualization with Kedro-Viz.

Data Catalog includes versioning for file-based systems, supporting reproducible data workflows and model tracking as mentioned in the features.

Comes with pytest for test-driven development and ruff for linting, enforcing coding standards out of the box to maintain code quality.

Supports deployment on various platforms like AWS Batch, Databricks, and Kubernetes with Argo, offering flexibility for production environments.