{ "info": { "author": "Kenneth Duncan", "author_email": "duncan@strw.leidenuniv.nl", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Environment :: Console", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Scientific/Engineering" ], "description": "Stellar populations and Masses with Python\r\n==========================================\r\n\r\nThis package contains Python software designed for building and processing composite stellar populations in a simple but flexible manner. It allows for easy synthetic photometry to be produced for single models or large suites of models.\r\n\r\nThe code makes use of the `Astropy `_ module throughout and therefore allows for easy conversion of physical units and a wide range of allowed cosmologies.\r\n\r\nCurrently supported simple stellar population models are:\r\n\r\n1. Bruzual & Charlot 2003\r\n2. `BPASS V1 & V2 `_ \r\n\r\n\r\nLicense\r\n=======\r\n``SMpy`` is licensed under the terms of the MIT license. See the file\r\n\"LICENSE\" for information on the history of this software, terms & conditions\r\nfor usage, and a DISCLAIMER OF ALL WARRANTIES.\r\n\r\nAll trademarks referenced herein are property of their respective holders.\r\n\r\nCopyright (c) 2015--, Kenneth Duncan", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://github.com/dunkenj/smpy", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "astro-smpy", "package_url": "https://pypi.org/project/astro-smpy/", "platform": "OS Independent", "project_url": "https://pypi.org/project/astro-smpy/", "project_urls": { "Download": "UNKNOWN", "Homepage": "http://github.com/dunkenj/smpy" }, "release_url": "https://pypi.org/project/astro-smpy/0.1.dev/", "requires_dist": null, "requires_python": null, "summary": "SMpy: Flexible stellar pops., masses and mock observations with python", "version": "0.1.dev" }, "last_serial": 1996078, "releases": { "0.1.dev": [ { "comment_text": "", "digests": { "md5": "5579bb74e59f42084a7e5c73ca194588", "sha256": "c9dcbf6176b5aba76c3dd1f55ce5d05a81e3bca73a106aaf17698f96bb2d2e02" }, "downloads": -1, "filename": "astro-smpy-0.1.dev.tar.gz", "has_sig": false, "md5_digest": "5579bb74e59f42084a7e5c73ca194588", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 37483, "upload_time": "2016-03-08T18:49:32", "url": "https://files.pythonhosted.org/packages/99/da/40815029165617a395704d9c75312a88da494b38b5d2fd3bcfb354a29585/astro-smpy-0.1.dev.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "5579bb74e59f42084a7e5c73ca194588", "sha256": "c9dcbf6176b5aba76c3dd1f55ce5d05a81e3bca73a106aaf17698f96bb2d2e02" }, "downloads": -1, "filename": "astro-smpy-0.1.dev.tar.gz", "has_sig": false, "md5_digest": "5579bb74e59f42084a7e5c73ca194588", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 37483, "upload_time": "2016-03-08T18:49:32", "url": "https://files.pythonhosted.org/packages/99/da/40815029165617a395704d9c75312a88da494b38b5d2fd3bcfb354a29585/astro-smpy-0.1.dev.tar.gz" } ] }