Bokeh

Interactive Web Plotting for Python.

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is Bokeh?

Bokeh is an interactive visualization library that targets modern web browsers for presentation. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.

Key differentiator

Bokeh stands out as an interactive visualization library that targets modern web browsers, offering high-performance interactivity and extensive customization options over large or streaming datasets.

Capability profile

Strength Radar

Interactive plot…High-performance…Supports streami…Customizable vis…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Interactive plots and charts for web applications

High-performance interactivity over large datasets

Supports streaming data visualization

Customizable visualizations with extensive styling options

Fit analysis

Who is it for?

✓ Best for

Projects requiring high-performance interactivity over large datasets

Web applications that need to visualize streaming data

Developers who want to create interactive plots and charts for web apps without a backend service

✕ Not a fit for

Teams needing real-time streaming (Bokeh is more suited for batch processing)

Projects with strict performance constraints where JavaScript libraries might be lighter-weight options

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Next step

Get Started with Bokeh

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →