Orchest was a visual, notebook-centric platform for building and running data science and machine learning pipelines without hand-writing orchestration code or DAG definitions. Users connected Jupyter notebooks and scripts through a drag-and-drop pipeline editor, parameterized runs for quick experimentation, and executed everything locally or on Kubernetes. Note that active development on Orchest has since stopped, with the maintainers pointing users toward Apache Airflow as a robust ongoing alternative.