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I have had to work with many charts and graphing solutions in the past, and RGraph is easy to implement and performs very well. But if i have to emphasize on what has most impressed me, it is the excellent support received. This includes fast email response, test pages made specifically for my case and sent to me, and notification of inclusion of my request in the next beta version (all in the same day), and when the next beta will be released (release date in less that a week). This service has proven to be more effective than high paying solutions. I will continue to work with RGraph and recommend it to all who need it. - David Lisin, Web Developer Write a testimonial for the RGraph website
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Build faster websites using Javascript powered charts and HTML5

RGraph is built with HTML5 canvas

RGraph is a charts library that uses Javascript and HTML5 to draw and supports over twenty different types of charts. Using the new HTML5 canvas tag, RGraph creates these charts inside the web browser using Javascript, meaning quicker pages and less web server load. This leads to smaller page sizes, lower costs and faster websites - everybody wins!

Examples of charts
 
Documentation and examples

Free to use!

RGraph is free to use on non-commercial websites such as personal blogs, educational, or charity sites - you don't need to buy a license - only link to the RGraph website on your own site. Go here for details about a commercial and government license.


Feature packed and fully documented

As you'll see from the documentation RGraph has lots of features, such as tooltips, visual effects, zooming, context menus, interactive adjusting and resizing to name a few. You can also combine different types of charts (see the examples for more).

All charts and features are documented with examples and code that you can use. The HOWTO guides walk you through doing common tasks step-by-step with more example code.

The full source is included in the download and you're free to make changes to suit your needs. The API is documented and there is also a bare-bones implementation available if you want to extend RGraph and make your own charts.

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