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        "author": "Manuel Olguin Munoz",
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            "Programming Language :: Python :: 3",
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        "description": "[![PyPI version](https://badge.fury.io/py/ganglion-biosensing.svg)](https://badge.fury.io/py/ganglion-biosensing)\n# ganglion-biosensing\n\nModern Python 3.7+ library for interfacing with the OpenBCI Ganglion biosensing board over BTLE.\n\nThe origins of this library come from my personal disagreement with some of the design and implementation choices made by the developers of the official [pyOpenBCI library](https://github.com/OpenBCI/pyOpenBCI). Some of the code in this repository has been obtained and/or adapted from the official pyOpenBCI code (following the MIT License).\n\nIt should be noted that this library does not aim to be a full replacement for the official library, as it is completely focused on the Ganglion board and not on the Cyton. It should rather be looked at as an alternative which aims to target a more modern and efficient implementation from the ground up.\n\n## Installation\nSimply do:\n```bash\npip install ganglion-biosensing\n```\n\nAlternatively, install from the Github repository:\n```bash\npip install git+https://github.com/molguin92/ganglion-biosensing.git\n```\n\n## Usage\nUsage is pretty straightforward - simply declare a Ganglion within a with-block for automatic connection and cleanup:\n\n```python\nfrom ganglion_biosensing.board.ganglion import GanglionBoard\n\nif __name__ == '__main__':\n    with GanglionBoard(mac='FF:FF:FF:FF:FF:FF') as board:\n        board.start_streaming()\n        for i in range(500):\n            print(board.samples.get(block=True))\n```\n\nThe code is thread safe by design - samples are collected in an asynchronous manner and deposited in the `board.samples` queue.\n\nFor more details see the `examples/` directory and the code itself.\n\n\n## License\n\nCopyright 2019 - Manuel Olgu\u00edn Mu\u00f1oz.\n\nLicensed under an MIT license, see [LICENSE](./LICENSE) for details.\n\n\n",
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