Visualization API 📊
FlowyML includes built-in visualization helpers for inspecting, comparing, and presenting pipeline results. You can render a pipeline's DAG directly in a Jupyter notebook, compare metrics across multiple runs side-by-side, or embed charts into dashboards. These utilities are designed to work out-of-the-box with any orchestrator and metadata store backend.
Tools for visualizing pipelines and artifacts.
flowyml.visualize
show(pipeline)
Display the DAG of a pipeline in a Jupyter notebook.
compare_runs(runs)
Display a comparison table of multiple runs.
See Also
- GUI Overview — the FlowyML web dashboard and interactive exploration tools