{
    "info": {
        "author": "S.Garcia",
        "author_email": "sgarcia at olfac.univ-lyon1.fr",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering"
        ],
        "description": "====\npyacq\n====\n\nVersion 0.1 is quite drafty.\nA version 0.2 is in preparation (summer 2015).\n\npyacq is a pure python simple framework for data acquisition.\nBy data we mean : analog signal, digital signal, video, event.\npyacq use zmq and so offer a simple to distribute data across thread, process and machine\nto build more complex acquisition system.\n\npyacq implement a simple layer to inteact with some hardware device. Here the list:\n    * on linux : all comedi device\n    * on windows : measurement computing device with Universal Library\n    * on linux/win : the Emotiv EEG system.\n    * on linux/win : the brainvision EEG with the socket.\n    \npyacq also propose some basic visualisation with Qt4 widget to be embeded in Qt application:\n   * a simple but multi signal continuous oscilloscope.\n   * a online multisignal time frequency \n   * a multi signal oscilloscope in triggered mode.\n\n\nMore information\n----------------\n\n- github: https://github.com/samuelgarcia/pyacq\n- Mailing list: \n- Documentation: http://packages.python.org/pyacq/\n\nFor installation instructions, see doc/source/install.rst\n\n:copyright: Copyright 2010-2012 by the pyacq team, see AUTHORS.\n:license: Modified BSD License, see LICENSE.txt for details.",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "UNKNOWN",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "http://neuralensemble.org/neo",
        "keywords": null,
        "license": "BSD",
        "maintainer": null,
        "maintainer_email": null,
        "name": "pyacq",
        "package_url": "https://pypi.org/project/pyacq/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/pyacq/",
        "project_urls": {
            "Download": "UNKNOWN",
            "Homepage": "http://neuralensemble.org/neo"
        },
        "release_url": "https://pypi.org/project/pyacq/0.1.0/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "Simple Framework for data acquisition (signal, video) in pure python.",
        "version": "0.1.0"
    },
    "last_serial": 1598929,
    "releases": {
        "0.1.0": []
    },
    "urls": []
}