PyViz

PyViz is an open-source collection of Python libraries focused on building interactive, scalable data visualizations. It is designed for exploratory data analysis, scientific visualization, and dashboarding, aiming to enable rich interactivity without sacrificing performance on large datasets. The ecosystem emphasizes declarative specifications, interoperability among components, and the ability to render in notebooks or web browsers.

Its core projects include HoloViews, Datashader, GeoViews, Panel, and hvPlot. HoloViews provides high-level building blocks that describe what to visualize rather than how it is drawn; Datashader renders large data efficiently by rasterizing it to images; GeoViews extends these capabilities to geospatial data; Panel enables custom dashboards and widgets; hvPlot offers convenient plotting interfaces for pandas, xarray, and similar data structures. The projects are designed to work together, often using Bokeh as the rendering backend.

Typical PyViz workflows involve preparing data in pandas or xarray, creating HoloViews objects to declare visualizations, using Datashader to handle very large datasets, and combining elements into panels or layouts for dashboards. Visualizations can be embedded in Jupyter notebooks, exported to standalone HTML, or deployed as interactive apps with minimal code.

Development and documentation are community-driven under the PyViz umbrella, with coordination through PyViz.org and the Holoviz ecosystem. The goal is to provide interoperable components that can be mixed and matched across projects while maintaining a consistent design philosophy and licensing.