kubeflow/kale

Kale is a tool that simplifies deploying Kubeflow Pipelines workflows for data scientists by allowing them to define and run pipelines directly from JupyterLab without modifying their code. It bridges the gap between data science workflows and Kubeflow's orchestration capabilities, making it easier to create reusable components and execute distributed jobs. This project is ideal for data scientists who want to leverage Kubeflow Pipelines without needing deep expertise in orchestration platforms.