About
RGraph is a JavaScript charts library based on
HTML5 SVG and canvas. RGraph is mature (over 17 years
old) and has a wealth of features making it an ideal
choice to use for showing charts on your website.
Version 7.01 released
Version 7.01 (released in October 2025) is the
latest version of RGraph and now includes a new tree
structure object. The accompanying Treemenu object can then turn
the object into a fully dynamic tree menu.
You can read the API documentation for the tree on
the main API documentation page
and see an example of the Treemenu
feature by following this link...
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 7.01, 8th October 2025) 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.HOWTO: Make your line clickable
Here's an example of a Line chart with a key - but instead of the key itself being interactive you can click on the lines to then highlight them and the relevant key entry.
Previously a fair amount of custom code was used to add the highlight but that code has now been incorporated into the Line chart library so you now just have to add a single configuration property to your code.
There's a demo page included in the download archive that demonstrates this to the full called line-tooltips-dataset.html
The code for the chart is shown below.
<script src="/libraries/RGraph.common.dynamic.js"></script> <script src="/libraries/RGraph.common.key.js"></script> <script src="/libraries/RGraph.line.js"></script> <script src="/libraries/RGraph.common.tooltips.js"></script>
<canvas id="cvs" width="700" height="300">[No canvas support]</canvas>
<script> new RGraph.Line({ id:'cvs', data: [ [4,5,8,7,6,4,3], [7,1,6,9,4,6,5], [8,4,6,5,9,9,8] ], options: { // Some custom properties that are used in the // tooltips values: [58.3,42.5,62.7], names: ['Bob','David','Gary'], tooltipsDataset: '<span style="font-style: italic">Results for <b>%{property:names[%{dataset}]}</b>:</span><br /><span style="font-size: 30pt">%{property:values[%{dataset}]}%</span>', backgroundGridVlines: false, backgroundGridBorder: false, xaxis: false, yaxis: false, xaxisLabels: ['Mon','Tue','Wed','Thu','Fri','Sat','Sun'], marginBottom: 35, linewidth: 2, shadow: true, title: 'A Line chart with dataset tooltips', titleBold: true, titleSize: 16, spline: true, tickmarksStyle: 'endcircle', tickmarksSize: 5, key: ['Bob','David','Gary'], keyBackground: 'white', events: { tooltip: function (obj) { // You can get the dataset index and the coordinates // of the key entry by using these properties. This // also fetches the appropriate color from the RGraph // object properties (using the index). // // If you're not bothered about highlighting the key // then you can omit this entire ontooltip event var index = obj.tooltipsDatasetIndex; var coords = obj.coords.key[index]; var color = obj.get('colors')[index]; // Draw a semi-opaque rectangle around the // relevant key entry obj.path( 'ga 0.25 b r % % % % f % ga 1', coords[0], coords[1], coords[2], coords[3], color ); } } } }).draw(); </script>