🆚 Dygraphs vs. Highcharts

Compare technologies based on real-world usage data *

Type

Charting library
Charting library

About

Dygraphs is a flexible open source JavaScript charting library that creates interactive time series visualizations using JavaScript and the HTML canvas tag.

Highcharts is a commercial JavaScript charting framework based on SVG, with optional WebGL for high-volume rendering.

It supports line, area, bar, pie, scatter, heatmap, polar, gauge, range, and 3D charts, provides responsive touch support, exports to PNG, JPG, PDF, and SVG, accepts data from JSON or live sources, and includes wrappers for React, Vue, and Angular.

Headquarters

Vik i Sogn, Norway

Website

Pricing

Free version ✔️Education and Personal License, application required
Annual
Internal use$176/seat/year
SaaS$349/seat/year
Stock charts$349/seat/year
Map charts$122/seat/year
Gantt charts$70/seat/year
Perpetual
Internal use$405/seat
SaaS$799/seat
Stock charts$799/seat
Map charts$280/seat
Gantt charts$160/seat

Categories

Charting › Rank #24
Charting › Rank #5

Popularity

Determined by the number of sites using each technology.

The Highcharts charting library is 64 times more popular than Dygraphs.
Total websites

Market share

Charting

Popularity by country

Determined by the number of sites detected from each country.

Highcharts is more popular than Dygraphs in all countries.
United States
Netherlands
Germany
United Kingdom
France
India
Russia
Brazil
Canada
Italy

Awards

Popularity by domain category

Determined by the number of sites in each category.

Highcharts is more popular than Dygraphs in all market segments.
Business
Finance/Banking
Government/Military
Education/Reference
Public Information
Marketing/Merchandising
Internet Services
Travel
Non-Profit/Advocacy/NGO
Health

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#7,601
#48,925
#57,804
View more ➝
Name
Rank
View more ➝

See also

* According to recent studies, many of online reviews are fake.
When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

Statistics were last calculated on .
For details, see our methodology and disclaimer.