{ "info": { "author": "Monte M. Goode", "author_email": "MMGoode@lbl.gov", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Environment :: Web Environment", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Operating System :: POSIX", "Programming Language :: JavaScript", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Software Development :: Libraries" ], "description": "|Documentation Status| |Build Status| |Coverage Status|\n\nPyPond - Python Pond timeseries library.\n========================================\n\nOverview\n--------\n\nPyPond is a Python implementation of the JavaScript `Pond timeseries\nlibrary `__. At a very high level, both\nimplementations offer classes and structures to collect, manipulate and\ntransmit timeseries data. Time series transmission is done via a\nJSON-based wire format.\n\nThis implementation is `available on\nGitHub `__ and the API documentation is\navailable at `software.es.net `__ (and\nalternately on `RTD `__).\n\nPyPond runs on python 2.7 and 3.3 through 3.6.\n\nCore Documentation\n------------------\n\nThe `main project site `__ has extensive\ndocumentation on the various structures (Event, TimeRange, TimeSeries,\netc) that both implementations use internally. There is no need to\nduplicate that conceptual documentation here since the python\nimplementation follows the same API and uses the same structures.\n\nThe only real difference with pypond is that the method names have been\nchanged to their obvious pythonic corollaries (``obj.toString()``\nbecomes ``obj.to_string()``) and any comparison methods named ``.is()``\nin the JavaScript version have been renamed to ``.same()`` in pypond\nsince ``is`` is a reserved word in python.\n\nThe `tests `__ can\nalso be referred to as a fairly complete set of examples as well.\n\n.. |Documentation Status| image:: https://readthedocs.org/projects/pypond/badge/?version=latest\n :target: http://pypond.readthedocs.io/en/latest/?badge=latest\n.. |Build Status| image:: https://travis-ci.org/esnet/pypond.svg?branch=master\n :target: https://travis-ci.org/esnet/pypond\n.. |Coverage Status| image:: https://coveralls.io/repos/github/esnet/pypond/badge.svg?branch=master\n :target: https://coveralls.io/github/esnet/pypond?branch=master", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/esnet/pypond", "keywords": null, "license": "UNKNOWN", "maintainer": null, "maintainer_email": null, "name": "pypond", "package_url": "https://pypi.org/project/pypond/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/pypond/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/esnet/pypond" }, "release_url": "https://pypi.org/project/pypond/0.5.1/", "requires_dist": null, "requires_python": null, "summary": "Python implementation of the Pond JavaScript timeseries library (https://github.com/esnet/pond).", "version": "0.5.1" }, "last_serial": 2808870, "releases": { "0.4.8": [ { "comment_text": "", "digests": { "md5": "1ea6ccf4c9675aa9e71a6b3cc2b0ef39", "sha256": "ca79de63bed42613c9168034cec5495480abe48ab9778e8768eea21f808a4a4b" }, "downloads": -1, "filename": "pypond-0.4.8.tar.gz", "has_sig": false, "md5_digest": "1ea6ccf4c9675aa9e71a6b3cc2b0ef39", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 67306, "upload_time": "2016-10-03T19:03:10", "url": "https://files.pythonhosted.org/packages/d7/a6/f8a4b7a003ce08145d839f9de1f0c4e6a83d4ecf11d773c1c41d88ab9f35/pypond-0.4.8.tar.gz" } ], "0.5.0": [ { "comment_text": "", "digests": { "md5": "216012ab672dd7859635a36c11bab9c9", "sha256": "56330a7715692fecd7751d8ed1cd6872f676092bfba6ee7bdc50f05cf7592d46" }, "downloads": -1, "filename": "pypond-0.5.0.tar.gz", "has_sig": false, "md5_digest": "216012ab672dd7859635a36c11bab9c9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 68808, "upload_time": "2017-04-13T18:18:43", "url": "https://files.pythonhosted.org/packages/16/b0/1c13b1b86f04be399c6ac2405eec0c185dfcd7ee9b29a2c32a8503a62fc3/pypond-0.5.0.tar.gz" } ], "0.5.1": [ { "comment_text": "", "digests": { "md5": "91e72b2344968cf5f1a00653e7704c6e", "sha256": "933447a23d395715b888f60f0fcc0317e1f836c4a4bb0a8e9c3881b3c042d333" }, "downloads": -1, "filename": "pypond-0.5.1.tar.gz", "has_sig": false, "md5_digest": "91e72b2344968cf5f1a00653e7704c6e", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 68826, "upload_time": "2017-04-17T15:19:25", "url": "https://files.pythonhosted.org/packages/c6/22/35cc1a11c0c1d2c5e4c3ae6ff5265e97b98f46a5436641b2ff38076ebfb6/pypond-0.5.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "91e72b2344968cf5f1a00653e7704c6e", "sha256": "933447a23d395715b888f60f0fcc0317e1f836c4a4bb0a8e9c3881b3c042d333" }, "downloads": -1, "filename": "pypond-0.5.1.tar.gz", "has_sig": false, "md5_digest": "91e72b2344968cf5f1a00653e7704c6e", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 68826, "upload_time": "2017-04-17T15:19:25", "url": "https://files.pythonhosted.org/packages/c6/22/35cc1a11c0c1d2c5e4c3ae6ff5265e97b98f46a5436641b2ff38076ebfb6/pypond-0.5.1.tar.gz" } ] }