{ "info": { "author": "Matthew Alger", "author_email": "matthew.alger@anu.edu.au", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Topic :: Scientific/Engineering :: Astronomy" ], "description": "crowdastro\n==========\n\nThis project aims to develop a machine learned method for\ncross-identifying radio objects and their host galaxies, using\ncrowdsourced labels from the `Radio Galaxy\nZoo `__.\n\n|PyPI| |Travis-CI| |Documentation Status| |DOI|\n\nFor setup details, see the documentation on `Read the\nDocs `__.\n\nFor a brief description of each notebook, see the documentation\n`here `__.\n\nThe cross-identification dataset is available `on\nZenodo `__.\n\n.. |PyPI| image:: https://img.shields.io/pypi/v/crowdastro.svg\n :target: https://pypi.python.org/pypi/crowdastro\n.. |Travis-CI| image:: https://travis-ci.org/chengsoonong/crowdastro.svg?branch=master\n :target: https://travis-ci.org/chengsoonong/crowdastro\n.. |Documentation Status| image:: https://readthedocs.org/projects/crowdastro/badge/?version=latest\n :target: http://crowdastro.readthedocs.io/en/latest/?badge=latest\n.. |DOI| image:: https://zenodo.org/badge/doi/10.5281/zenodo.58316.svg\n :target: http://dx.doi.org/10.5281/zenodo.58316", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/chengsoonong/crowdastro", "keywords": "machine-learning radio astronomy classification", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "crowdastro", "package_url": "https://pypi.org/project/crowdastro/", "platform": "", "project_url": "https://pypi.org/project/crowdastro/", "project_urls": { "Homepage": "https://github.com/chengsoonong/crowdastro" }, "release_url": "https://pypi.org/project/crowdastro/0.1.1/", "requires_dist": null, "requires_python": "", "summary": "Automated cross-identification of radio objects and host galaxies using crowdsourced labels from the Radio Galaxy Zoo.", "version": "0.1.1" }, "last_serial": 2423591, "releases": { "0.0.1a0": [], "0.0.1a1": [ { "comment_text": "", "digests": { "md5": "0c0d41f9fe565a6e039d43f6e290b660", "sha256": "107610ffa497deaa8d695afbadf1fc7a105b94806fbe4c9ee986dfb7092a0053" }, "downloads": -1, "filename": "crowdastro-0.0.1a1.tar.gz", "has_sig": false, "md5_digest": "0c0d41f9fe565a6e039d43f6e290b660", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 32898, "upload_time": "2016-08-31T07:14:17", "url": "https://files.pythonhosted.org/packages/45/d4/4c944c14a0ba02998d0b76a6b21bb640cc66b9028c7344a2c3438cdab148/crowdastro-0.0.1a1.tar.gz" } ], "0.0.1a2": [ { "comment_text": "", "digests": { "md5": "a1aa98ca53784b41d33d705d115ff6a3", "sha256": "b7429ba3de3dc7762ea9af3604032b1f3df8e16bb335784c112f4b8828589c9e" }, "downloads": -1, "filename": "crowdastro-0.0.1a2.tar.gz", "has_sig": false, "md5_digest": "a1aa98ca53784b41d33d705d115ff6a3", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 32890, "upload_time": "2016-08-31T07:30:05", "url": "https://files.pythonhosted.org/packages/0e/74/4b31017736d2aa73d0737c91e209d3cc848fef3a410e30eaf4dc755f7e37/crowdastro-0.0.1a2.tar.gz" } ], "0.0.1a3": [ { "comment_text": "", "digests": { "md5": "92af74bd4ce711640bb18d9a8f9dcd58", "sha256": "64f3ee1d51b921d200abb32dacf42415a21bbd2a82d0b38183d57e40306cfe89" }, "downloads": -1, "filename": "crowdastro-0.0.1a3.tar.gz", "has_sig": false, "md5_digest": "92af74bd4ce711640bb18d9a8f9dcd58", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 32909, "upload_time": "2016-08-31T07:33:07", "url": "https://files.pythonhosted.org/packages/84/f8/15af772fda74ea71cab5e64684642e1946aee2d9e340dfe94125ccea316a/crowdastro-0.0.1a3.tar.gz" } ], "0.0.1a4": [ { "comment_text": "", "digests": { "md5": "a2b7c2d5447b881c8d22da2384394c0b", "sha256": "34b2235258b9c5d38b251f0ad0e9ba54e816a3df77516bbe427ab045de9f92ff" }, "downloads": -1, "filename": "crowdastro-0.0.1a4.tar.gz", "has_sig": false, "md5_digest": "a2b7c2d5447b881c8d22da2384394c0b", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 32913, "upload_time": "2016-08-31T07:43:40", "url": "https://files.pythonhosted.org/packages/1a/6c/507cb871ae699cf4d40fbb4462d8144b6ebc07674d65cded572755c9d950/crowdastro-0.0.1a4.tar.gz" } ], "0.0.1a5": [ { "comment_text": "", "digests": { "md5": "a557f727c29cde0661ed1bb8b34f5ef3", "sha256": "fd4eb5860d729e719d1b2134fd4ca7eee2454a63b24cdd5de77cfb6ffa965912" }, "downloads": -1, "filename": "crowdastro-0.0.1a5.tar.gz", "has_sig": false, "md5_digest": "a557f727c29cde0661ed1bb8b34f5ef3", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 33392, "upload_time": "2016-08-31T07:48:32", "url": "https://files.pythonhosted.org/packages/01/1c/58f2625858b79a8e7a358531861aedb9edc88f86ec1f50e7a25aba12579f/crowdastro-0.0.1a5.tar.gz" } ], "0.0.1a6": [ { "comment_text": "", "digests": { "md5": "6d8e8d5473c82638653463c90d0c9b6e", "sha256": "57f8577112dc9ec468588e4db09e25b00e9082fb6da3bdf870a6cfc21a75353a" }, "downloads": -1, "filename": "crowdastro-0.0.1a6.tar.gz", "has_sig": false, "md5_digest": "6d8e8d5473c82638653463c90d0c9b6e", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 33486, "upload_time": "2016-08-31T07:57:47", "url": "https://files.pythonhosted.org/packages/09/e2/24f68ea380ab8cb2f90cbfacba5dfbb711780c9183ff79bc0550ee00a9fd/crowdastro-0.0.1a6.tar.gz" } ], "0.0.1a7": [ { "comment_text": "", "digests": { "md5": "b16928170242576c31fc4928c23b0c07", "sha256": "0761911b8fcd7e0eb9ebc5652901440ffc8d801ce0d1e2100b9f3cced56023f0" }, "downloads": -1, "filename": "crowdastro-0.0.1a7.zip", "has_sig": false, "md5_digest": "b16928170242576c31fc4928c23b0c07", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 49730, "upload_time": "2016-09-09T04:36:00", "url": "https://files.pythonhosted.org/packages/63/55/416de3793b0cc88e3bde211fe2d09c04be3269f9a49eae1680f05c6b94dc/crowdastro-0.0.1a7.zip" } ], "0.1.0": [ { "comment_text": "", "digests": { "md5": "37b9cb7bad2caf0e5a2f2b621efa252e", "sha256": "289186edebf58c064e18087fdf2a0f6bdaca9704c02412c2ba145872b96fc327" }, "downloads": -1, "filename": "crowdastro-0.1.0.zip", "has_sig": false, "md5_digest": "37b9cb7bad2caf0e5a2f2b621efa252e", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 49992, "upload_time": "2016-09-15T05:02:16", "url": "https://files.pythonhosted.org/packages/12/5e/93d7122c3da0a7ac094b178c8cbc1a7933df0e2b5d46f5ca0258e7ccb9b3/crowdastro-0.1.0.zip" } ], "0.1.1": [ { "comment_text": "", "digests": { "md5": "f60cd26279067fc9e65c3941ead2fd66", "sha256": "fe70ebda1d571e6e8581dbe9fc7ced8fe49c603c59c97f72dfda3ba48e29cab7" }, "downloads": -1, "filename": "crowdastro-0.1.1.tar.gz", "has_sig": false, "md5_digest": "f60cd26279067fc9e65c3941ead2fd66", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 39928, "upload_time": "2016-10-26T08:32:22", "url": "https://files.pythonhosted.org/packages/bb/7b/fd898783271ff5fc655a906d2a37c3bdf7fff17316236b8bfdf38122cc8b/crowdastro-0.1.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "f60cd26279067fc9e65c3941ead2fd66", "sha256": "fe70ebda1d571e6e8581dbe9fc7ced8fe49c603c59c97f72dfda3ba48e29cab7" }, "downloads": -1, "filename": "crowdastro-0.1.1.tar.gz", "has_sig": false, "md5_digest": "f60cd26279067fc9e65c3941ead2fd66", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 39928, "upload_time": "2016-10-26T08:32:22", "url": "https://files.pythonhosted.org/packages/bb/7b/fd898783271ff5fc655a906d2a37c3bdf7fff17316236b8bfdf38122cc8b/crowdastro-0.1.1.tar.gz" } ] }