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"info": {
"author": "Rich Wareham",
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"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.",
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"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.",
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