This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later. Releases — Bokeh 3.0.0 Documentation
While major iterations introduce sweeping architectural re-designs, version 2.3.3 remains an essential production baseline for enterprise environments, legacy applications, and stable data science pipelines that depend on rigid layout behavior and backward compatibility without the breaking changes found in Bokeh 3.x. Key Technical Layout Fixes in Bokeh 2.3.3
Fixed inconsistencies in how Div models were rendered.
Let’s build a basic, interactive line plot using Bokeh's plotting interface. This script generates a standalone HTML file with built-in zoom and pan tools.
Built-in pan, zoom, hover, tap, and box-select functionalities require zero custom JavaScript. bokeh 2.3.3
Bokeh 2.3.3 offers several features designed for high-performance web graphics:
# Create some data x = np.linspace(0, 4*np.pi, 100) y = np.sin(x)
As a dedicated patch release, version 2.3.3 focused entirely on runtime predictability and frontend rendering precision. The release addressed several high-impact layout bugs that previously caused visual collapses or broken styles across web clients: 1. Document Layout and Scroll Consistency
It's crucial to understand the scope of this vulnerability: This public link is valid for 7 days
In the summer of 2021, as the world began to open up, a small data analytics team was tasked with a sensitive project: quantifying the "enthusiasm" of the return to live sports. The hypothesis was that after a year of silence, the crowds would be louder than ever.
In Bokeh 2.3.3, plot dimensions are declared explicitly via plot_width and plot_height . Bokeh 3.x completely removes these properties in favor of standard CSS properties named width and height .
Bokeh offers pre-configured aesthetic themes to transform your plots from a default grey background to sleek layouts like dark_minimal , light_minimal , or caliber . To apply a global theme in version 2.3.3:
, the popular interactive visualization library for Python, continues to solidify its place in the data science ecosystem with version 2.3.3. This release focuses on stability, performance improvements, and critical integration updates with high-performance data handling libraries like Datashader . Can’t copy the link right now
Python developers utilize Bokeh to build high-performance, interactive visualizations directly for modern web browsers without needing to write client-side JavaScript. Version 2.3.3 secures this workflow by ensuring that the browser-based client ( BokehJS ) interprets Python commands predictably and uniformly. 📈 Key Bug Fixes & Improvements
: Prior to this version, specific multi-component containers like Column configurations would occasionally ignore the assigned scrollable CSS class. This version explicitly corrected layout box calculations to respect overflow settings, preventing charts from stretching past browser viewport limits.
While Bokeh has since moved into the 3.x branch—which introduced major redesigns to CSS interoperability and removed support for legacy browsers like IE—version 2.3.3 remains a representative milestone of the 2.x era. It exemplified the project's commitment to incremental improvement, ensuring that the powerful data-linking and interactive capabilities introduced in the 2.3 series were reliable enough for production-level data science workflows.