{ "info": { "author": "Wade Roberts", "author_email": "waderoberts123@gmail.com", "bugtrack_url": null, "classifiers": [ "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7" ], "description": "# Global_Forecast_Validation\n\nPython solution to run large scale forecast validation using data stored in NetCDF format. This tool is meant to be \nused with RAPIDpy, and should not be used with NetCDF files formatted in ways different than the RAPIDpy output.\n\n## Installation \nTo intall this package, simply use::\n\n pip install global-forecast-validation\n\nIt is recommended to install this in a seperate environment, especially if using conda, to avoid dependency conflicts.\n\n## Documentation\n[Link](https://global-forecast-validation.readthedocs.io/en/stable/)", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/BYU-Hydroinformatics/Global_Forecast_Validation", "keywords": "hydrology,forecast validation,global", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "global-forecast-validation", "package_url": "https://pypi.org/project/global-forecast-validation/", "platform": "", "project_url": "https://pypi.org/project/global-forecast-validation/", "project_urls": { "Homepage": "https://github.com/BYU-Hydroinformatics/Global_Forecast_Validation" }, "release_url": "https://pypi.org/project/global-forecast-validation/0.2/", "requires_dist": null, "requires_python": "", "summary": "Routines for forecast validation on a large scale.", "version": "0.2" }, "last_serial": 4969510, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "c22d90901fc4b1eabc7e2ca432997fc9", "sha256": "b65c4bfca6fed9fbdf628282b3aba8b662b4a0d501721cc123440ae256b365f9" }, "downloads": -1, "filename": "global_forecast_validation-0.1.tar.gz", "has_sig": false, "md5_digest": "c22d90901fc4b1eabc7e2ca432997fc9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8367, "upload_time": "2019-03-15T20:00:47", "url": "https://files.pythonhosted.org/packages/a7/c0/9125695af77ce0b55798a83aec5b09467db257ea710aa8325d93fa9b4926/global_forecast_validation-0.1.tar.gz" } ], "0.2": [ { "comment_text": "", "digests": { "md5": "c12f7cf19146fd4ab4351b58a29480d2", "sha256": "eaebee126767dbfb623d6792d50f6c92ff263c69afb56c014342c0988f4bccc4" }, "downloads": -1, "filename": "global_forecast_validation-0.2.tar.gz", "has_sig": false, "md5_digest": "c12f7cf19146fd4ab4351b58a29480d2", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8680, "upload_time": "2019-03-21T18:54:02", "url": "https://files.pythonhosted.org/packages/2a/77/045c40b6f7ac8df4d18d87d099f13cdc43a854faeb81a9e59551c0d0a7e9/global_forecast_validation-0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "c12f7cf19146fd4ab4351b58a29480d2", "sha256": "eaebee126767dbfb623d6792d50f6c92ff263c69afb56c014342c0988f4bccc4" }, "downloads": -1, "filename": "global_forecast_validation-0.2.tar.gz", "has_sig": false, "md5_digest": "c12f7cf19146fd4ab4351b58a29480d2", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 8680, "upload_time": "2019-03-21T18:54:02", "url": "https://files.pythonhosted.org/packages/2a/77/045c40b6f7ac8df4d18d87d099f13cdc43a854faeb81a9e59551c0d0a7e9/global_forecast_validation-0.2.tar.gz" } ] }