About
RGraph is a JavaScript charts library based on
HTML5 SVG and canvas. RGraph is mature (over 18 years
old) and has a wealth of features making it an ideal
choice to use for showing charts on your website.
Version 7.10 released
Version 7.10 (released in January 2026) is the
latest version of RGraph and contains various updates
to the code which you can see on
the changelog page. There's
also a big tidy up in terms of comments and a significant
change to the way that the internal code is referenced which
should lead to a performance improvement in effects and
animations.
New HTML datagrid
In the April 2025 (v6.21) release a new datagrid object
was added.
This makes it easy to add static or dynamic data
tables to your pages. It can be used whether you use the
canvas or SVG libraries or entirely standalone.
Download
Get the latest version of RGraph (version 7.10, 18th January 2026) from
the download page. You can read the changelog here. There's also older versions available,
minified files and links to cdnjs.com hosted libraries.
License
RGraph can be used for free under the GPL or if
that doesn't suit your situation there's an
inexpensive (£129) commercial license available.Updating your charts dynamically
The example code shown below shows a Line chart that automatically updates itself every 50 milliseconds. An ideal use for this could be showing a network's bandwidth usage or a server's load value.
This particular example shows a filled Line chart.
To get up-to-date data from your server you could simply have the page refresh itself, storing the data on the server, or use AJAX if you want the data stored client-side or, like this example, the storage location doesn't strictly matter.
Notes:- Remember that browsers can slow down timers (ie setTimeout calls) for background pages (eg minimised browsers). Google Chrome does this. If you use setInterval instead of setTimeout then it can cause "jumpiness" in updates and may also cause unexpected results.
- For long-running processes, you should not keep recreating the object. Here, the Line chart is created once and stored on the window object (ie a global variable).
- Be careful of the data types you use to pass the data to RGraph - you should use numbers to represent values, not strings.
<canvas id="cvs" width="600" height="250">[No canvas support]</canvas>
<script>
d1 = [0];
l = 0; // The letter 'L' - NOT a one
obj = null;
// Pre-pad the arrays with null values
for (var i=0; i<600; ++i) {
d1.push(null);
}
function getGraph(id, d1)
{
// After creating the chart, it's stored on the global window object
if (!window.obj) {
window.obj = new RGraph.Line({
id: id,
data: d1,
options: {
marginRight: 75,
backgroundColor: 'white',
backgroundGridVlines: false,
backgroundGridBorder: false,
yaxis: false,
yaxisPosition: 'right',
yaxisScaleMax: 50,
yaxisLabelsCount: 2,
yaxisScaleUnitsPost: 'MB/s',
xaxis: false,
colors: ['#000'],
textSize: 14,
linewidth: 1,
tickmarksStyle: null
}
});
}
return window.obj;
}
//
// The draw() function draws a single frame of the chart. It's
// called repeatedly to get the scrolling effect.
//
function draw ()
{
// Clear the canvas in preparation for for
// drawing a new frame
RGraph.clear(document.getElementById('cvs', 'white'));
// Create the chart and draw it
var graph = getGraph('cvs', d1);
graph.draw();
// Generate a random value that's close to the
// last value of the current data
var index = d1.length - 1;
var r1 = RGraph.random(
RGraph.isNull(d1[index]) ? 26 : d1[index] - 2,
RGraph.isNull(d1[index]) ? 24 : d1[index] + 2
);
// Bounds checking for the new value
r1 = Math.max(r1, 0);
r1 = Math.min(r1, 50);
// Add the new value on to the end of the data array
d1.push(r1);
// Ensure the array is at most 600 values
while (d1.length > 600) {
d1 = RGraph.arrayShift(d1);
}
// Set the new data on the Line chart object
window.obj.original_data[0] = d1;
// Call this function again in 50ms
setTimeout(draw, 50);
}
// Call the draw function to set things going
draw();
</script>