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    "info": {
        "author": "Dominik Rubo",
        "author_email": "",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Information Analysis"
        ],
        "description": "# Air quality data\n\nA toolkit to retrieve, analyze and visualize data from a variety of air quality\nsensors.\n\nThe scripts include tools to  \n* wrap the APIs of various data providers, including Civic Lab Brussels'\n[InfluencAir] project, the [luftdaten.info] project, [madavi.de] and\n[irceline.be]  \n* represent sensors of those different providers as objects with a unified\n  interface to make it easy to interact with them  \n* retrieve sensor measurement data through API calls  \n* cache those data  \n* clean and combine the data  \n* describe measurements statistically - individual sensors or groups to\n  compare  \n* plot measurement time series  \n* find sensors that are geographically close to a point of interest or to other\n  sensors  \n\nFor usage examples, see the [demo] notebook.\n\n## Installation\nTo install airqdata from PyPI, run  \n`pip install airqdata`\n\nA Python 3.5+ environment and several Python packages are required. When\ninstalling airqdata with pip, those dependencies will be installed\nautomatically. Otherwise see requirements.txt and\ninstall_requirements.sh in this repository.\n\n## Legal\nThe scripts are licensed under the [GPLv3].\n\nData made available by the luftdaten.info project are [licensed][luftdaten\nlicensing] under the [Open Database License][ODbL].\n\nData published by the Belgian Interregional Environment Agency (IRCEL/CELINE)\nare [licensed][irceline licensing] under the [Creative Commons Attribution 4.0\nlicense][CC-BY 4.0].\n\n[InfluencAir]: https://influencair.be\n[luftdaten.info]: https://luftdaten.info\n[madavi.de]: https://www.madavi.de/ok-lab-stuttgart\n[irceline.be]: http://www.irceline.be/en\n[demo]: https://nbviewer.jupyter.org/gist/dr-1/450c275b1ad2cbf88e9c4325c5d032bc\n[GPLv3]: https://www.gnu.org/licenses/gpl-3.0.html\n[luftdaten licensing]: https://archive.luftdaten.info/00disclamer.md\n[ODbL]: https://opendatacommons.org/licenses/odbl/1.0/\n[irceline licensing]: http://www.irceline.be/en/documentation/open-data\n[CC-BY 4.0]: https://creativecommons.org/licenses/by/4.0\n\n\n",
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        "keywords": "air quality pollution sensor data analysis particulate matter pm influencair irceline luftdaten",
        "license": "GNU GPLv3",
        "maintainer": "",
        "maintainer_email": "",
        "name": "airqdata",
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