		{
		"name": "igraph",
		"version": "0.1.8",
		"version": "0.1.11",
		"description": "An embeddable webGL graph visualization library.",
		@@ -14,3 +14,3 @@ "main": "js/igraph.js",
		"type": "git",
		"url": "https://github.com/patrickfuller/igraph.git"
		"url": "https://github.com/patrickfuller/jgraph.git"
		},
		@@ -20,5 +20,5 @@ "author": "Patrick Fuller",
		"bugs": {
		"url": "https://github.com/patrickfuller/igraph/issues"
		"url": "https://github.com/patrickfuller/jgraph/issues"
		},
		"homepage": "https://github.com/patrickfuller/igraph",
		"homepage": "https://github.com/patrickfuller/jgraph",
		"dependencies": {
		@@ -25,0 +25,0 @@ "jquery": "^2.1.4",

108

README.md

		@@ -5,106 +5,6 @@ igraph
		An embeddable webGL graph visualization library.
		http://patrickfuller.github.io/igraph/
		http://patrickfuller.github.io/jgraph/

		Examples
		========

		* [IPython notebook](http://patrickfuller.github.io/igraph/examples/ipython.html)
		* [les misérables](http://patrickfuller.github.io/igraph/examples/miserables.html)
		* [github connections](http://patrickfuller.github.io/igraph/examples/github.html)

		IPython
		=======

		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. Install through pip:

		```
		pip install igraph
		```

		Open a new notebook and test the setup by typing:

		```python
		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 and check out the [associated
		example](http://patrickfuller.github.io/igraph/examples/ipython.html) for more.

		Javascript
		==========

		You can install through [npm](https://www.npmjs.com/):

		```
		npm install igraph
		```

		Once installed, you can use with:

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

		where `'my-selector'` is where you want to place igraph, and `myGraph` is a
		javascript 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.

		```javascript
		options = {
		directed: true, // Toggles edge arrows
		nodeSize: 2.0, // Default node size
		edgeSize: 0.25, // Edge connection diameter
		arrowSize: 1.0, // If drawn, edge arrow size
		defaultNodeColor: 0xaaaaaa, // Color for nodes without a "color" property
		defaultEdgeColor: 0x777777, // Color for edges without a "color" property
		shader: "toon", // three.js shader to use, can be "toon", "basic", "phong", or "lambert"
		runOptimization: true // Runs a force-directed-layout algorithm on the graph
		};
		```

		Graph Data Format
		=================

		igraph takes input graph data structures as plain objects. Here's the most
		boring graph in the world:

		```javascript
		{
		nodes: {
		jane: { },
		bob: { },
		mike: { },
		sally: { }
		},
		edges: [
		{ source: "jane", target: "bob" },
		{ source: "bob", target: "mike" },
		{ source: "mike", target: "sally" }
		]
		}
		```

		Nodes require no information outside of their keys. However, there are useful
		optional parameters that can be specified.

		```javascript
		{
		color: 0xffffff, // Color for this node
		size: 1.0, // Scaling factor for this node's size
		location: [0.0, 0.0, 0.0] // Starting location of node. Useful for pre-rendering.
		}
		```

		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 library (`igraph.generate`) to do so.
		To avoid name collision with the [igraph](http://igraph.org/redirect.html)
		project, this visualization library has been renamed to ‘jgraph’.
		Please upgrade when convenient.

examples/favicon.ico

js/igraph.js

MANIFEST.in

python/__init__.py

python/force_directed_layout.py

python/json_formatter.py

python/notebook.py

setup.cfg

setup.py

.npmignore