Kedro is a toolbox for production-ready data science that applies software engineering best practices to data pipelines. It helps teams create reproducible, maintainable, and modular workflows for both data engineering and data science use cases. The framework provides structured project templates, configuration management, and pipeline abstractions to organize ML workflows from experimentation through production.