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        "description": "# onetsdb\nA Uniform Interface for Timeseries Database Python Library. Will Support MongoDB, InfluxDB, SQLITE3 etc.\n\nInstall\n===============\n```\n pip install onetsdb\n```\n\nUsage\n===============\n\n```python\n\nfrom onetsdb import connect, TSDBPoint\n\n# tsdb = connect('mongodb://localhost/tsdb')\n# tsdb = connect('influxdb://localhost/tsdb')\n# tsdb = connect('sqlite3://localhost/tmp/tsdb.sqlite3')  # file: with/tmp/tsdb.sqlite3,\n# tsdb = connect('tslite://localhost/tmp/tslite/test')  # tslite\ntsdb = connect('sqlite3://localhost/file::memory:')  # with memory sqlite3\n\ntsdb.register_table('device', {\n    'tags': {   # Tags can be a filter for querying\n        'devid': 'string',  # Device ID\n    },\n    'fields': {\n        'temp': 'float',  # Temperature value\n        'humi': 'float',  # humidity value\n    }\n})\ntsdb.write_point('device', TSDBPoint(data={'devid': 'A1', 'temp': 23.5, 'humi': 45.5}))\ntsdb.write_point('device', TSDBPoint(data={'devid': 'A2', 'temp': 20.2, 'humi': 35}))\ntsdb.write_point('device', TSDBPoint(data={'devid': 'A1', 'temp': 24.5, 'humi': 50}))\n\nprint tsdb.query('device').filter(devid='A1').all()\n\n```\n\n\n[Click to view more information!](https://github.com/sintrb/onetsdb)\n\n\nCHANGES\n===============\n1.0.0\n\n- first version\n\n1.2.0\n\n- support mongodb, influxdb, sqlite3\n\n1.2.4\n\n- fix sqlite3 bug\n\n1.3.0\n\n- support tslite\n\n1.3.1\n\n- mongodb support time_group, values and aggregate oprations",
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