Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets. Bokeh can help to make interactive plots, dashboards, and data applications.
Bokeh is actually composed of two library components.The first component is a JavaScript library, BokehJS, that runs in the browser. This library is responsible for all of the rendering and user interaction. Its input is a collection of declarative JSON objects that comprise a “scenegraph”. The objects in this scenegraph describe everything that BokehJS should handle: what plots and widgets are present and in what arrangement, what tools and renderers and axes the plots will have, etc. These JSON objects are converted into BokehJS Models in the browser, and are rendered by corresponding BokehJS Views.
The second component is a library in Python (or other languages) that can generate the JSON described above. In the Python Bokeh library, this is accomplished at the lowest level by exposing a set of “model” classes that exactly mirror the set of BokehJS Models that are created in the browser. These Python model classes know how to validate their content and attributes, and also how to serialize themselves to JSON. All of these low level models live in the low-level bokeh.models interface. Most of the models are very simple, usually consisting of a few property attributes and no methods.
These methods of configuration work in general for all Bokeh models. Because of that, and because all Bokeh interfaces ultimately produce collections of Bokeh models, styling and configuring plots and widgets is accomplished in basically the same way, regardless of which interface is used.