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Simple and effective tools for the analysis of movement data

Project description


Simple and effective tools for the analysis of movement data

Movekit is an open-source software package for the processing and analysis of movement data, including modules for:

  • Data pre-processing (e.g. data checks, smoothing, duplicate removal, interpolation, outlier detection)
  • Feature extraction (e.g. speed, acceleration, heading)
  • Individual-level movement analysis (e.g. autocorrelation, speed distribution, environment exploration)
  • Group-level analysis (e.g. cohesion, polarisation, coordination, leadership)


The easiest way to install movekit is by using pip :

pip install movekit


You can view a demo of common features in this Jupyter Notebook.


For an overview of version changes see the CHANGELOG.

Please submit bugs or feature requests to the GitHub issue tracker here.


This package was developed by Eren Cakmak, Lukas Weixler, Arjun Majumdar, Jolle Jolles, and Daniel Keim from the Data Analysis and Visualization Group and the Department of Collective Behaviour at the University Konstanz, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2117 – 422037984“

Released under a GNU General Public License. See the LICENSE file for details.

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