{
    "info": {
        "author": "Andreas Kloeckner",
        "author_email": "inform@tiker.net",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Other Audience",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Scientific/Engineering :: Visualization",
            "Topic :: Software Development :: Libraries",
            "Topic :: Utilities"
        ],
        "description": "grudge\n======\n\ngrudge helps you discretize discontinuous Galerkin operators, quickly\nand accurately.\n\nIt relies on\n\n* `numpy <http://pypi.python.org/pypi/numpy>`_ for arrays\n* `modepy <http://pypi.python.org/pypi/modepy>`_ for modes and nodes on simplices\n* `meshmode <http://pypi.python.org/pypi/meshmode>`_ for modes and nodes on simplices\n* `loopy <http://pypi.python.org/pypi/loo.py>`_ for fast array operations\n* `leap <http://pypi.python.org/pypi/leap>`_ for time integration\n* `dagrt <http://pypi.python.org/pypi/dagrt>`_ as an execution runtime\n* `pytest <http://pypi.python.org/pypi/pytest>`_ for automated testing\n\nand, indirectly,\n\n* `PyOpenCL <http://pypi.python.org/pypi/pyopencl>`_ as computational infrastructure\n\nPyOpenCL is likely the only package you'll have to install\nby hand, all the others will be installed automatically.\n\n.. image:: https://badge.fury.io/py/grudge.png\n    :target: http://pypi.python.org/pypi/grudge\n\nResources:\n\n* `documentation <http://documen.tician.de/grudge>`_\n* `wiki home page <http://wiki.tiker.net/Grudge>`_\n* `source code via git <http://gitlab.tiker.net/inducer/grudge>`_",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "UNKNOWN",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "http://gitlab.tiker.net/inducer/grudge",
        "keywords": null,
        "license": "MIT",
        "maintainer": null,
        "maintainer_email": null,
        "name": "grudge",
        "package_url": "https://pypi.org/project/grudge/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/grudge/",
        "project_urls": {
            "Download": "UNKNOWN",
            "Homepage": "http://gitlab.tiker.net/inducer/grudge"
        },
        "release_url": "https://pypi.org/project/grudge/2015.1/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "Discretize discontinuous Galerkin operators quickly, on heterogeneous hardware",
        "version": "2015.1"
    },
    "last_serial": 1778713,
    "releases": {
        "2015.1": []
    },
    "urls": []
}