🆚 Flot vs. Mermaid

Type

Charting library
Charting library

About

Flot is a JavaScript plotting library for jQuery with a focus on ease of use, attractive appearance, and interactive features.

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 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 #13
Charting › Rank #8

Popularity

Determined by the number of sites using each technology.

The Mermaid charting library is 2.1 times more popular than Flot.
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 Flot is more popular in India, Russia, and Poland.
United States
Germany
United Kingdom
France
Spain
Australia
India
Italy
Russia
China

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 Flot is more commonly used on real estate, finance and banking, and government and military sites.
Online Shopping
Business
Marketing/Merchandising
Internet Services
Blogs/Wiki
Fashion/Beauty
Entertainment
Real Estate
Education/Reference
Software/Hardware

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#15,144
#17,083
#29,400
View more ➝
Name
Rank
#1,025
#1,353
#2,272
#3,074
View more ➝

See also

🗃️ About This Data