Kubeflow Pipelines is an open-source platform designed to simplify the development, deployment, and management of machine learning workflows. Built on Kubernetes, it allows users to create, automate, and manage end-to-end machine learning pipelines using Docker containers. Each pipeline consists of modular components that represent individual steps, enabling reproducibility and scalability in machine learning projects. With features like version tracking and collaboration tools, Kubeflow Pipelines enhances the efficiency of machine learning operations, making it easier for teams to work together and iterate on their models effectively. This powerful toolkit is essential for modern machine learning practices.