An interactive 3D graph visualizer for modern browsers. Check out the demo here.

For publication-quality renderings of 3D graphs, check out the blender-graphs project.

igraph.create('my-selector');
igraph.draw(myGraph);

where 'my-selector' is where you want to place igraph, and myGraph is an object. See below for more on the object structure, or just check out the included example. The igraph.create() method takes a few optional parameters, specifying the sizes and colors of nodes, as well as force-directed optimization. Read the source for more.

The IPython notebook is an open-source tool poised to replace MATLAB in many applications. As a scientist (of sorts), I'm all about it. Therefore, I made handles to use igraph with the notebook.

Open a new notebook with ipython notebook and make sure that the igraph directory is either in the directory you started the notebook or your PYTHONPATH. You can test the setup by typing:

import igraph
igraph.draw([(1, 2), (2, 3), (3, 4), (4, 1), (4, 5), (5, 2)])

into a notebook cell. You should get a paddlewheel graph as an output. You can use this in conjunction with other code for educational purposes. Try generating a red-black tree! There are three commands and some optional parameters to check out. Read the docstrings for more.

The viewers take input graph data structures as javascript objects. As an example, consider:

{
    "nodes": {
        "jane": { },
        "bob": { "location": [ -1.115, -2.167, -3.103 ], "color": "0x0000ff" },
        "mike": { "color": "0xff0000" },
        "sally": { "location": [ 3.348, 6.252, 8.937 ] }
    },
    "edges": [
        { "source": "jane", "target": "bob" },
        { "source": "bob", "target": "mike" },
        { "source": "mike", "target": "sally" }
    ]
}

Nodes and edges can be colored by specifying a "color" field. If not specified, the visualizer defaults to grayscale (this behavior can be changed).

By default, the algorithm runs a force-directed layout on the graph. When enabled, the "location" field is optional. However, for larger graphs, you will want to disable this feature and pre-render the locations. Use the associated Python script to do so.