Bokeh 2.3.3 is a specific patch release of the Bokeh interactive visualization library for Python, launched in July 2021. While it is now considered an older version—with current releases being in the 3.x series—it remains relevant for legacy projects or systems constrained by older Python environments (like Python 3.6). 🚀 Key Fixes in Version 2.3.3
Getting Started with Bokeh 2.3.3
Widespread Ecosystem Support: Bokeh 2.3.3 is widely available across major package managers, including Anaconda, ensuring seamless integration into existing data science stacks. Why Choose Bokeh 2.3.3? bokeh 2.3.3
Minimum Plot Height: Fixed an explicit bug that prevented plot heights from dropping below 600px. Developers regained the flexibility to customize compact visualizations for mobile views or compressed grids. 2. UI and Widget Enhancements Bokeh 2
Integration: Plots can be seamlessly embedded into Flask or Django web applications, as well as Jupyter Notebooks. Migration and Legacy Support Interactive Visualizations : Bokeh allows you to create
While Bokeh 2.3.3 does not introduce new functionality, it is a stability-focused release that resolves real-world issues reported by the community. Users are encouraged to upgrade, especially those running Bokeh in production notebooks or dashboards where interaction reliability is critical.