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    "info": {
        "author": "Prabhu Ramachandran",
        "author_email": "prabhu@aero.iitb.ac.in",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: X11 Applications",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: Python",
            "Topic :: Multimedia :: Graphics",
            "Topic :: Scientific/Engineering :: Visualization",
            "Topic :: Software Development :: Libraries"
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        "description": "Python wrapper for Ygl\n=======================\n\nYgl_, developed by Fred Hucht, emulates a significant subset of SGI's\n`IRIS GL`_ on X11.  IRIS GL was a precursor to OpenGL. Ygl is an easy to\nuse library.  This package provides a ctypes-based, Python wrapper for\nYgl_.  It also provides a convenient and rather simple plotting\ninterface. \n\nIt is perhaps a lot more convenient to use OpenGL via PyOpenGL_,\nhowever, I am providing this wrapper for legacy support for applications\nthat have used Ygl.  I used to provide a SWIG_ based wrapper but a\nctypes based wrapper is a lot easier to build and install.\n \n\n.. _Ygl: <http://WWW.thp.Uni-Duisburg.DE/Ygl/ReadMe.html>\n.. _`IRIS GL`: http://en.wikipedia.org/wiki/IRIS_GL\n.. _PyOpenGL: http://pyopengl.sf.net\n.. _SWIG: http://www.swig.org\n\n\nInstallation\n-------------\n\nYou will require to have Ygl installed.  Under Debian/Ubuntu, this is\neasily done by installing libygl4 like so::\n\n    $ sudo apt-get install libygl4\n\nIf you are not on Debian or Ubuntu you would need to install Ygl from\nthe sources downloadable from the Ygl_ webpage.\n\nTo install the wrapper you should be able to simply do::\n\n   $ easy_install ygl\n\n\nExamples\n---------\n\nThere are a few sample examples in the examples directory of the source\npackage.  These should show you how to use both the ``ygl`` module and the\n``yplot`` module.  A simple example of how to use ``yplot`` is in\n``examples/plot.py``.",
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        "keywords": null,
        "license": "BSD",
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        "name": "ygl",
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