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        "author": "Patrick Fuller",
        "author_email": "patrickfuller@gmail.com",
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            "Framework :: IPython",
            "Intended Audience :: Education",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Topic :: Education :: Computer Aided Instruction (CAI)"
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        "description": "jgraph\n======\n\nAn embeddable webGL graph visualization library.\nhttp://patrickfuller.github.io/jgraph/\n\nExamples\n========\n\n * [IPython notebook](http://patrickfuller.github.io/jgraph/examples/ipython.html)\n * [les mis\u00e9rables](http://patrickfuller.github.io/jgraph/examples/miserables.html)\n * [github connections](http://patrickfuller.github.io/jgraph/examples/github.html)\n\nIPython\n=======\n\nThe IPython notebook is an open-source tool poised to replace MATLAB in many\napplications. As a scientist of sorts, I'm all about it. Therefore, I made\nhandles to use jgraph with the notebook. Install through pip:\n\n```\npip install jgraph\n```\n\nOpen a new notebook and test the setup by typing:\n\n```python\nimport jgraph\njgraph.draw([(1, 2), (2, 3), (3, 4), (4, 1), (4, 5), (5, 2)])\n```\n\ninto a notebook cell. You should get a paddlewheel graph as an output. You can\nuse this in conjunction with other code for educational purposes (try generating\na red-black tree!). There are three commands and some optional parameters to\ncheck out. Read the docstrings and check out the [associated\nexample](http://patrickfuller.github.io/jgraph/examples/ipython.html) for more.\n\nJavascript\n==========\n\nYou can install through [npm](https://www.npmjs.com/):\n\n```\nnpm install jgraph\n```\n\nOnce installed, you can use with:\n\n```javascript\njgraph.create('my-selector');\njgraph.draw(myGraph);\n```\n\nwhere `'my-selector'` is where you want to place jgraph, and `myGraph` is a\njavascript object. See below for more on the object structure, or just check out\nthe included example. The `jgraph.create()` method takes a few optional\nparameters, specifying the sizes and colors of nodes, as well as force-directed\noptimization.\n\n```javascript\noptions = {\n    directed: true, // Toggles edge arrows\n    nodeSize: 2.0, // Default node size\n    edgeSize: 0.25, // Edge connection diameter\n    arrowSize: 1.0, // If drawn, edge arrow size\n    defaultNodeColor: 0xaaaaaa, // Color for nodes without a \"color\" property\n    defaultEdgeColor: 0x777777, // Color for edges without a \"color\" property\n    shader: \"toon\", // three.js shader to use, can be \"toon\", \"basic\", \"phong\", or \"lambert\"\n    runOptimization: true // Runs a force-directed-layout algorithm on the graph\n};\n```\n\nGraph Data Format\n=================\n\njgraph takes input graph data structures as plain objects. Here's the most\nboring graph in the world:\n\n```javascript\n{\n    nodes: {\n        jane: { },\n        bob: { },\n        mike: { },\n        sally: { }\n    },\n    edges: [\n        { source: \"jane\", target: \"bob\" },\n        { source: \"bob\", target: \"mike\" },\n        { source: \"mike\", target: \"sally\" }\n    ]\n}\n```\n\nNodes require no information outside of their keys. However, there are useful\noptional parameters that can be specified.\n\n```javascript\n{\n    color: 0xffffff, // Color for this node\n    size: 1.0, // Scaling factor for this node's size\n    location: [0.0, 0.0, 0.0] // Starting location of node. Useful for pre-rendering.\n}\n```\n\nBy default, the algorithm runs a force-directed layout on the graph. When\nenabled, the \"location\" field is optional. However, for larger graphs, you will\nwant to disable this feature and pre-render the locations. Use the associated\nPython library (`jgraph.generate`) to do so.\n",
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