{ "info": { "author": "Carlos Xavier Hernandez", "author_email": "cxh@stanford.edu", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Science/Research", "License :: OSI Approved :: Apache Software License", "Operating System :: MacOS", "Operating System :: Microsoft :: Windows", "Operating System :: Unix", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Information Analysis" ], "description": "MDEntropy\r\n=========\r\n\r\nMDEntropy is a python library that allows users to perform information-theoretic\r\nanalyses on molecular dynamics (MD) trajectories. It includes methods to\r\ncalculate:\r\n\r\n+ Bias-Corrected Entropy\r\n+ Conditional Entropy\r\n+ Mutual Information\r\n+ Normalized Mutual Information\r\n+ Conditional Mutual Information\r\n+ Normalized Conditional Mutual Information", "description_content_type": null, "docs_url": null, "download_url": "https://github.com/cxhernandez/mdentropy/tarball/master", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/cxhernandez/mdentropy", "keywords": "molecular dynamics entropy analysis", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "mdentropy", "package_url": "https://pypi.org/project/mdentropy/", "platform": "Windows,Linux,Mac OS-X,Unix", "project_url": "https://pypi.org/project/mdentropy/", "project_urls": { "Download": "https://github.com/cxhernandez/mdentropy/tarball/master", "Homepage": "https://github.com/cxhernandez/mdentropy" }, "release_url": "https://pypi.org/project/mdentropy/0.2/", "requires_dist": null, "requires_python": null, "summary": "Analyze correlated motions in MD trajectories with only a few lines of Python code.", "version": "0.2" }, "last_serial": 1654177, "releases": { "0.2": [ { "comment_text": "", "digests": { "md5": "16ab3786aaf84e3e0ed83c9bb2c3cbd6", "sha256": "01a3aa46078480f0f5f4d6ffb98b2caf12f077b8fbe2b816d36522f2a678b43d" }, "downloads": -1, "filename": "mdentropy-0.2.tar.gz", "has_sig": false, "md5_digest": "16ab3786aaf84e3e0ed83c9bb2c3cbd6", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3594, "upload_time": "2015-07-29T00:30:45", "url": "https://files.pythonhosted.org/packages/0e/e7/fedb1eac5c66ea9aef50f5a0c2ea871ee37d46c6dc8578b2b2a30ce0c1a4/mdentropy-0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "16ab3786aaf84e3e0ed83c9bb2c3cbd6", "sha256": "01a3aa46078480f0f5f4d6ffb98b2caf12f077b8fbe2b816d36522f2a678b43d" }, "downloads": -1, "filename": "mdentropy-0.2.tar.gz", "has_sig": false, "md5_digest": "16ab3786aaf84e3e0ed83c9bb2c3cbd6", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3594, "upload_time": "2015-07-29T00:30:45", "url": "https://files.pythonhosted.org/packages/0e/e7/fedb1eac5c66ea9aef50f5a0c2ea871ee37d46c6dc8578b2b2a30ce0c1a4/mdentropy-0.2.tar.gz" } ] }