Bokeh
Interactive Web Plotting for Python.
Pricing
Free tier
Flat rate
Adoption
↗RisingLicense
Open Source
Data freshness
Verified · Jul 16, 2026Overview
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
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Bokeh's ecosystem is not as extensive compared to other visualization libraries like Matplotlib or Plotly, making it harder to find plugins and extensions.
Rendering interactive plots with millions of data points can lead to slow performance and high memory usage in web browsers.
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
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Works well with
Next step
Get Started with Bokeh
Step-by-step setup guide with code examples and common gotchas.