Bokeh 2.3.3 ((install)) 90%

: Plots can be seamlessly embedded into Flask or Django web applications, as well as Jupyter Notebooks . Migration and Legacy Support

In the software lifecycle, patch releases like 2.3.3 serve as the "finishing sander" for broader feature sets. Developers using Bokeh for high-stakes data dashboards require the library to behave predictably across various browser environments and CSS configurations. Version 2.3.3 addressed several "edge case" bugs that previously caused visual regressions or functional hiccups in complex layouts. Key Technical Improvements bokeh 2.3.3

As a patch release, Bokeh 2.3.3 focused on stability. Significant fixes included: : Plots can be seamlessly embedded into Flask

As of its release in mid-2021, Bokeh 2.3.3 was the most stable patch in the 2.x series. Today, it remains a critical reference point for several reasons: Version 2

# Create a new plot with a title and axis labels p = figure(title="simple line example", x_axis_label='x', y_axis_label='y')