Frappe Charts vs Bokeh

Frappe Charts8.8Visit Bokeh8.6Visit

Higher score Frappe Charts #5 in Data Visualization Libraries Software 8.8/10 Free plan Free plan Visit Frappe Charts

vs

Bokeh #6 in Data Visualization Libraries Software 8.6/10 Free plan Free plan Visit Bokeh

• Frappe Charts fits best

  Free charts across common frameworks

• Bokeh fits best

  Python developers building interactive web plots

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Side by side

Feature	Frappe Charts 8.8/10 Visit ↗	Bokeh 8.6/10 Visit ↗
At a glance
Editor score	8.8	8.6
Ranking	#5 in Data Visualization Libraries Software	#6 in Data Visualization Libraries Software
Best for	Free charts across common frameworks	Python developers building interactive web plots
Pricing model	Free	Free
Starting price	Free plan	Free plan
Free plan	✓	✓
Free trial	—	—
Deployment	Cloud	Self-hosted
Platforms	Web	Web
Support	Docs	Community, Docs
Built for	Solo, Small business, Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Specs
Supported frameworks	React, Angular, Vue, Svelte, Ruby, Web Components, .NET Standard 2.0	Not checked yet
Chart types	axis, area, bar, line, mixed axis, pie, donut, percentage, heatmap, scatter	Not checked yet
Rendering modes	Svg	Not checked yet
Interactive features	tooltips, keyboard navigation, data-point highlighting, data-select events	Not checked yet
Export formats	SVG	Not checked yet
License model	Open-source	Not checked yet
Our review
Pros	Covers common chart types, including mixed-axis charts and heatmaps Supports responsive SVG rendering and SVG export Offers tooltips, keyboard navigation, and dynamic data updates	Offers pan, zoom, hover, tap, and selection tools for interactive plots Supports standalone HTML, embeddable components, and Bokeh server apps Works with Jupyter and a range of Python data sources
Cons	Limited to SVG rendering and export Feature set is less extensive than leading alternatives Framework support relies on documented community wrappers	Its workflow centers on Python rather than general JavaScript charting Server applications require self-hosted deployment Support is through community resources and documentation
Our verdict	Frappe Charts is a free, open-source JavaScript library for embedding responsive visualizations in web applications. It suits developers who want common chart types without adding a dependency-heavy charting library. Its scope includes… Read the review →	Bokeh is an open-source Python library for creating interactive plots, dashboards, and data applications in web browsers. It suits Python developers who want to explore data in notebooks, publish plots on web pages, or build browser… Read the review →

Strengths and trade-offs

• Frappe Charts — where it wins

  • Covers common chart types, including mixed-axis charts and heatmaps
  • Supports responsive SVG rendering and SVG export
  • Offers tooltips, keyboard navigation, and dynamic data updates

  Where it doesn't

  • Limited to SVG rendering and export
  • Feature set is less extensive than leading alternatives
  • Framework support relies on documented community wrappers

• Bokeh — where it wins

  • Offers pan, zoom, hover, tap, and selection tools for interactive plots
  • Supports standalone HTML, embeddable components, and Bokeh server apps
  • Works with Jupyter and a range of Python data sources

  Where it doesn't

  • Its workflow centers on Python rather than general JavaScript charting
  • Server applications require self-hosted deployment
  • Support is through community resources and documentation

• Frappe Charts8.8/10 · Free plan

  A free, open-source JavaScript library for responsive charts and interactive updates.

  Visit Frappe ChartsFull verdict →
• Bokeh8.6/10 · Free plan

  A free, open-source Python library for interactive plots, embedded visuals, and server-backed apps.

  Visit BokehFull verdict →