🆚 jQuery Sparklines vs. Mermaid

Type

Charting library
Charting library

About

jQuery Sparklines is a jQuery plugin for generating small sparkline charts directly in the browser.

Mermaid is an open-source JavaScript diagramming and charting library that renders Markdown-inspired text definitions into dynamically generated diagrams and visualizations.

It supports flowcharts, sequence diagrams, Gantt charts, entity relationship diagrams, state diagrams, pie charts, timelines, and other diagram types, and includes a live editor, integrations with documentation and development tools, and browser-based rendering.

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Headquarters

San Jose, CA, United States
San Francisco, California, United States

Website

Pricing

Free ✔️ Open source
Free version ✔️ Mermaid.js, open source
Mermaid Charts
Free version ✔️ 3 diagrams
Plus $120/user/year
Premium $240/user/year
Enterprise Custom

Categories

Charting › Rank #12
Charting › Rank #8

Popularity

Determined by the number of sites using each technology.

The Mermaid charting library is 2.3 times more popular than jQuery Sparklines.
Total websites

Market share

Charting

Popularity by country

Determined by the number of sites detected from each country.

Mermaid is more popular in the United States, Germany, and the United Kingdom, while jQuery Sparklines is more popular in India, Brazil, and Russia.
United States
Germany
United Kingdom
France
Australia
India
Spain
China
Canada
Brazil

Awards

Popularity by domain category

Determined by the number of sites in each category.

Mermaid is more popular among sites focused on online shopping, business, and marketing and merchandising, while jQuery Sparklines is more commonly used on education and reference, government and military, and finance and banking sites.
Online Shopping
Business
Marketing/Merchandising
Internet Services
Blogs/Wiki
Education/Reference
Fashion/Beauty
Software/Hardware
Entertainment
Travel

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#23,701
#26,642
#30,439
#30,595
#35,735
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Name
Rank
#5,749
View more ➝

See also

🗃️ About This Data