{ "info": { "author": "Rich Wareham", "author_email": "rich.starman@richwareham.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: POSIX", "Programming Language :: Python :: 2", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering" ], "description": ".. image:: https://travis-ci.org/rjw57/starman.svg?branch=master\n :target: https://travis-ci.org/rjw57/starman\n\n.. image:: https://coveralls.io/repos/github/rjw57/starman/badge.svg?branch=master\n :target: https://coveralls.io/github/rjw57/starman?branch=master\n\n.. image:: http://readthedocs.org/projects/starman/badge/?version=latest\n :target: http://starman.readthedocs.org/en/latest/?badge=latest\n :alt: Documentation Status\n\n.. image:: https://zenodo.org/badge/3809/rjw57/starman.svg\n :target: https://zenodo.org/badge/latestdoi/3809/rjw57/starman\n\nStarman: State-estimation and tracking for Python\n=================================================\n\nStarman is a library which implements algorithms of use when trying to track the\ntrue state of one or more systems over time in the presence of noisy\nobservations.\n\nFull `documentation `_ is available\non readthedocs.\n\nFeatures\n--------\n\nCurrently starman supports the following algorithms:\n\n* Kalman filtering for state estimation.\n* Rauch-Tung-Striebel smoothing for the Kalman filter.\n* Scott and Longuet-Higgins feature association for matching measurments to\n tracked states.\n\nCopyright and licensing\n-----------------------\n\nSee the `LICENCE.txt `_ file in the repository root for details.\ntl;dr: MIT-style.\n\nWhy \"starman\"?\n--------------\n\nStarman implements the Kalman filter. The Kalman filter was used for trajectory\nestimation in the Apollo spaceflight programme. Starman is thus a blend of\n\"star\", signifying space, and \"Kalman\". That and \"kalman\" was already taken as a\npackage name on the PyPI.", "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/rjw57/starman", "keywords": null, "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "starman", "package_url": "https://pypi.org/project/starman/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/starman/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/rjw57/starman" }, "release_url": "https://pypi.org/project/starman/1.0.0/", "requires_dist": null, "requires_python": null, "summary": "A library which implements algorithms of use when trying to track the true state of one or more systems over time in the presence of noisy observations.", "version": "1.0.0" }, "last_serial": 2045078, "releases": { "1.0.0": [ { "comment_text": "", "digests": { "md5": "8414430215763f8992498f00bfde8905", "sha256": "d61bded37d279d1b0d178e2990e3261558418ab045609975b11a02d45f8869b8" }, "downloads": -1, "filename": "starman-1.0.0.tar.gz", "has_sig": false, "md5_digest": "8414430215763f8992498f00bfde8905", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 11327, "upload_time": "2016-04-04T16:57:23", "url": "https://files.pythonhosted.org/packages/b4/69/60b1d3a646702abf1e2e98b9de78b8f158d5d00e75d10292eca150f5cb7e/starman-1.0.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "8414430215763f8992498f00bfde8905", "sha256": "d61bded37d279d1b0d178e2990e3261558418ab045609975b11a02d45f8869b8" }, "downloads": -1, "filename": "starman-1.0.0.tar.gz", "has_sig": false, "md5_digest": "8414430215763f8992498f00bfde8905", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 11327, "upload_time": "2016-04-04T16:57:23", "url": "https://files.pythonhosted.org/packages/b4/69/60b1d3a646702abf1e2e98b9de78b8f158d5d00e75d10292eca150f5cb7e/starman-1.0.0.tar.gz" } ] }