Bokeh 2.3.3 ((full))

The primary objective of this version was to address structural UI degradation. The developer team targeted layout engine issues and CDN asset fetching:

Let’s create a small interactive dashboard that demonstrates the power of Bokeh 2.3.3. This example combines a line plot, a scatter plot, and a slider widget to filter data dynamically.

While this is a patch release, it inherits all the major features from the 2.3 series. Here are the highlights: bokeh 2.3.3

In Bokeh 2.3.3, sizing a figure uses these exact attributes. (Note: These were deprecated and changed to width and height in Bokeh 3.0).

: The library provides low-level control over every visual element, from glyph properties to layout positioning, while also offering high-level "charts" for quick data exploration. The primary objective of this version was to

To verify that the installation was successful and you are using the correct version, run this quick Python snippet:

: Fixed bad formatting of y-axis labels when using themes . While this is a patch release, it inherits

Whether you are a data scientist building interactive reports, a web developer embedding dynamic charts, or a researcher sharing visualised findings, Bokeh 2.3.3 provides a powerful and accessible tool for bringing your data to life in the browser.