![]() Or just work your way through the tutorial to see all the things you can do!īuilding on the SciPy/PyData/PyViz ecosystem ![]() Or check out Panel if you already have visualizations you want to turn into apps or shareable dashboards. Not sure where to start? Try hvPlot for quick and easy one-line plots of your Pandas, Xarray, Dask, and other data types. Param to create declarative user-configurable objects, andĬolorcet for perceptually uniform colormaps. Lumen to build data-driven dashboards from a simple YAML specification, GeoViews to extend HoloViews for geographic data,ĭatashader for rendering even the largest datasets, HoloViews to help you make all of your data instantly visualizable, HvPlot to quickly generate interactive plots from your data, Panel for making apps and dashboards for your plots from any supported plotting library, HoloViz provides a set of Python packages that make viz easier, more accurate, and more powerful:
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