{ "info": { "author": "Anthony LaTorre", "author_email": null, "bugtrack_url": null, "classifiers": [], "description": "Neutrino\n========\n\nA high performance library for storing scalar timeseries data in redis.\n\nInstallation\n============\n\nTo install, simply type:\n\n $ sudo pip install neutrino\n\nDesign\n======\n\nTime series are stored as scalar values in bins with a fixed time step.\nThese bins are stored in chunks, and each chunk is stored under a single\nredis key.\n\nInstead of specifying these parameters for each time series individually,\nthe parameters are specified for a *pattern*, which is a regular\nexpression. When time series data is later added, the name of each time\nseries is matched to these patterns, and for each match a time series is\nadded.\n\nFor example, the rule\n\n >>> ts.add_rule(r'spam.*','f',1,10,100,'avg')\n\nwill match any key starting with 'spam'. Any key matching this pattern\nwill be stored in a time series which will average multiple values in a\nsingle bin, with a time step of 1 second, a chunk size of 10, and chunks\nwill expire after 100 seconds.\n", "description_content_type": null, "docs_url": null, "download_url": null, "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/tlatorre-uchicago/neutrino", "keywords": "redis,timeseries", "license": null, "maintainer": null, "maintainer_email": null, "name": "neutrino", "package_url": "https://pypi.org/project/neutrino/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/neutrino/", "project_urls": { "Homepage": "https://github.com/tlatorre-uchicago/neutrino" }, "release_url": "https://pypi.org/project/neutrino/0.2/", "requires_dist": null, "requires_python": null, "summary": "High Performance Redis Timeseries", "version": "0.2" }, "last_serial": 1239533, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "6eef6c8792db715a091544432bc49955", "sha256": "78616b3ffa5d958e611631bb0af1e50d0f4a64fddfad4b6a92cae4da7a3020f6" }, "downloads": -1, "filename": "neutrino-0.1.tar.gz", "has_sig": false, "md5_digest": "6eef6c8792db715a091544432bc49955", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4670, "upload_time": "2014-09-26T21:52:32", "url": "https://files.pythonhosted.org/packages/f9/97/ac29114b877609aae9f574eb8b6f206c2ee5c9bcd68692528202196eb7e0/neutrino-0.1.tar.gz" } ], "0.2": [ { "comment_text": "", "digests": { "md5": "f18fa49b1f960e582235bbf07e261d47", "sha256": "fed39691fe171c35d97a912e4d9006b8fa82c345a63cb4020686e0fc16c4864d" }, "downloads": -1, "filename": "neutrino-0.2.tar.gz", "has_sig": false, "md5_digest": "f18fa49b1f960e582235bbf07e261d47", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4951, "upload_time": "2014-09-26T22:02:14", "url": "https://files.pythonhosted.org/packages/51/9a/89311e42e43833457bac77fd678042b2f096103a3502d695651f7fa49a72/neutrino-0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "f18fa49b1f960e582235bbf07e261d47", "sha256": "fed39691fe171c35d97a912e4d9006b8fa82c345a63cb4020686e0fc16c4864d" }, "downloads": -1, "filename": "neutrino-0.2.tar.gz", "has_sig": false, "md5_digest": "f18fa49b1f960e582235bbf07e261d47", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4951, "upload_time": "2014-09-26T22:02:14", "url": "https://files.pythonhosted.org/packages/51/9a/89311e42e43833457bac77fd678042b2f096103a3502d695651f7fa49a72/neutrino-0.2.tar.gz" } ] }