VivaGraphJS is the fastest graph drawing javascript library (proof). It is designed to be extensible and to support different rendering engines and layout algorithms. Underlying modules can be found via ngraph query.
Some examples of library usage in the real projects:
- Amazon Visualization Shows related products on Amazon.com, uses SVG as graph output
- YouTube Visualization Shows related videos from YouTube. SVG based.
- Graph Viewer visualization of sparse matrices collection of the University of Florida. WebGL based.
- Vkontakte Visualization friendship visualization of the largest social network in Russia vk.com. WebGL based.
To start using the library include vivagraph.js
script from the dist
folder. The following code is the minimum required to render a graph with two nodes and one edge:
var graph = Viva.Graph.graph();
graph.addLink(1, 2);
var renderer = Viva.Graph.View.renderer(graph);
renderer.run();
This will produce the following layout:
The code above adds a link to the graph between nodes 1
and 2
. Since nodes
are not yet in the graph they will be created. It's equivalent to
var graph = Viva.Graph.graph();
graph.addNode(1);
graph.addNode(2);
graph.addLink(1, 2);
var renderer = Viva.Graph.View.renderer(graph);
renderer.run();
VivaGraphJS is all about customization. You can easily change the appearance of nodes and links. You can also change the layouting algorithm and medium that displays elements of the graph. For example: The following code allows you to use WebGL-based rendering, instead of the default SVG.
var graph = Viva.Graph.graph();
graph.addLink(1, 2);
var graphics = Viva.Graph.View.webglGraphics();
var renderer = Viva.Graph.View.renderer(graph,
{
graphics : graphics
});
renderer.run();
graphics
class is responsible for rendering nodes and links on the page. And renderer
orchestrates the process. To change nodes appearance tell graphics
how to represent them. Here is an example of graph with six people who I follow at github:
var graph = Viva.Graph.graph();
// Construct the graph
graph.addNode('anvaka', {url : 'https://secure.gravatar.com/avatar/91bad8ceeec43ae303790f8fe238164b'});
graph.addNode('manunt', {url : 'https://secure.gravatar.com/avatar/c81bfc2cf23958504617dd4fada3afa8'});
graph.addNode('thlorenz', {url : 'https://secure.gravatar.com/avatar/1c9054d6242bffd5fd25ec652a2b79cc'});
graph.addNode('bling', {url : 'https://secure.gravatar.com/avatar/24a5b6e62e9a486743a71e0a0a4f71af'});
graph.addNode('diyan', {url : 'https://secure.gravatar.com/avatar/01bce7702975191fdc402565bd1045a8?'});
graph.addNode('pocheptsov', {url : 'https://secure.gravatar.com/avatar/13da974fc9716b42f5d62e3c8056c718'});
graph.addNode('dimapasko', {url : 'https://secure.gravatar.com/avatar/8e587a4232502a9f1ca14e2810e3c3dd'});
graph.addLink('anvaka', 'manunt');
graph.addLink('anvaka', 'thlorenz');
graph.addLink('anvaka', 'bling');
graph.addLink('anvaka', 'diyan');
graph.addLink('anvaka', 'pocheptsov');
graph.addLink('anvaka', 'dimapasko');
// Set custom nodes appearance
var graphics = Viva.Graph.View.svgGraphics();
graphics.node(function(node) {
// The function is called every time renderer needs a ui to display node
return Viva.Graph.svg('image')
.attr('width', 24)
.attr('height', 24)
.link(node.data.url); // node.data holds custom object passed to graph.addNode();
})
.placeNode(function(nodeUI, pos){
// Shift image to let links go to the center:
nodeUI.attr('x', pos.x - 12).attr('y', pos.y - 12);
});
var renderer = Viva.Graph.View.renderer(graph,
{
graphics : graphics
});
renderer.run();
The result is:
Graphs vary by their nature. Some graphs have hundreds of nodes and few edges (or links), some might connect every node with every other. Tuning the physics often helps get the best layout. Consider the following example:
var graphGenerator = Viva.Graph.generator();
var graph = graphGenerator.grid(3, 3);
var renderer = Viva.Graph.View.renderer(graph);
renderer.run();
Graph generators are part of the library, which can produce classic graphs.
grid
generator creates a grid with given number of columns and rows. But with
default parameters the rendering is pretty ugly:
Let's tweak the original code:
var graphGenerator = Viva.Graph.generator();
var graph = graphGenerator.grid(3, 3);
var layout = Viva.Graph.Layout.forceDirected(graph, {
springLength : 10,
springCoeff : 0.0005,
dragCoeff : 0.02,
gravity : -1.2
});
var renderer = Viva.Graph.View.renderer(graph, {
layout : layout
});
renderer.run();
Now the result is much better:
Tuning layout algorithm is definitely one of the hardest part of using this library. It has to be improved in future to simplify usage. Each of the force directed algorithm parameters are described in the source code.
Until version 0.7.x VivaGraph was a single monolithic code base. Starting from
0.7.x the library is bundled from small npm modules into Viva
namespace.
All these modules are part of a larger ngraph
family. ngraph
modules support rendering graphs into images, 3D rendering,
integration with gephi, pagerank calculation and many more.
Version 0.7 is a compromise between maximum backward compatibility and ngraph flexibility. Eventually I hope to further simplify API and provide interface for custom builds.
Please refer the upgrade guide to see how to update older versions of the library to the latest one.
Run the following script:
git clone https://github.com/anvaka/VivaGraphJS.git
cd ./VivaGraphJS
npm install
gulp release
The combined/minified code should be stored in dist
folder.
I'm trying to put up a list of all known graph drawing libraries. Please find it here
Disclaimer: I wrote this library to learn JavaScript. By no means I pretend to be an expert in the language and chosen approach to design may not be the optimal. I would love to hear your feedback and suggestions.
Though I implemented this library from scratch, I went through many existing libraries to pick the best (at my view) out of them. If you are evaluating libraries for your project make sure to check them out as well.
My goal is to create highly performant javascript library, which serves in the field of graph drawing. To certain extent I achieved it. But I have no doubt there is much more to improve here.