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Project Description

Starman: State-estimation and tracking for Python

Starman is 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.

Full documentation is available on readthedocs.


Currently starman supports the following algorithms:

  • Kalman filtering for state estimation.
  • Rauch-Tung-Striebel smoothing for the Kalman filter.
  • Scott and Longuet-Higgins feature association for matching measurments to tracked states.

Why “starman”?

Starman implements the Kalman filter. The Kalman filter was used for trajectory estimation in the Apollo spaceflight programme. Starman is thus a blend of “star”, signifying space, and “Kalman”. That and “kalman” was already taken as a package name on the PyPI.

Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
starman-1.0.0.tar.gz (11.3 kB) Copy SHA256 Checksum SHA256 Source Apr 4, 2016

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