Other Interactive Libraries

Beyond Plotly, several other libraries offer powerful interactive visualization capabilities. Each has unique strengths for different use cases.

Bokeh Overview

Altair: Declarative Visualization

Holoviews and hvPlot

Choosing the Right Library

Practice: Library Selection

Key Takeaways

• Plotly: Best for general interactive plots, 3D, and Dash dashboards
• Bokeh: Best for large datasets, streaming, and custom server apps
• Altair: Best for quick exploration and linked views with clean syntax
• Holoviews/hvPlot: Best for complex layouts and pandas integration
• Choose based on: data size, interactivity needs, deployment target
• Start with matplotlib for design, then pick the right interactive tool
• All libraries can produce HTML output for web deployment

Congratulations on completing the Interactive Plots Preview module! In the final module, we'll cover visualization best practices.