Bokeh 2.3.3

: Improved the MultiChoice widget by fixing a bug where dropdown menus were hidden, and ensured that active tabs were correctly brought into view upon rendering.

This code creates a simple line plot using Bokeh 2.3.3. bokeh 2.3.3

Users experiencing hover tool issues with multi-line plots, intermittent WebGL failures, or those seeing console errors related to ColumnDataSource updates. : Improved the MultiChoice widget by fixing a

“Bokeh's architecture is more suited for complex layouts and interactive elements than Matplotlib, making it a top choice for dashboards.” StrataScratch · 1 year ago “Bokeh's architecture is more suited for complex layouts

The primary purpose of Bokeh is to bridge the gap between powerful Python data analysis and the interactive capabilities of modern web browsers. Unlike static plotting libraries, Bokeh produces JSON objects that are rendered by (a JavaScript library), allowing users to interact with data through zooms, pans, and hover tools without needing to write JavaScript themselves. Key Features and Capabilities

So today, is mostly of historical interest — unless you're maintaining a legacy project pinned to Python 3.6 or using an environment that cannot upgrade to Bokeh 3.x due to API changes.