Bokeh 2.3.3 !!top!! Official

Bokeh's architecture is a powerful fusion of Python and JavaScript. The Python library you interact with defines the visualization's models, manages the document state, validates data, and serializes everything into JSON. This JSON payload is then sent to the browser, where the BokehJS client library takes over, rendering the plot and handling all user interactions in real-time. This client-server model is key to Bokeh's performance and flexibility.

Here's a simple example to create a line plot using Bokeh: bokeh 2.3.3

Bokeh is an interactive visualization library in Python that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of versatile graphics, and to extend this capability with high-performance interactivity. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications. Bokeh's architecture is a powerful fusion of Python

Built-in pan, zoom, hover, tap, and box-select functionalities require zero custom JavaScript. This client-server model is key to Bokeh's performance

Regardless of the specific patch version, Bokeh continues to be a staple in the PyData ecosystem for several reasons: