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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 a open-source software for the analysis of movement data. The package includes modules for:

  • Preoprocessing (remove duplicates, interpolation,...)
  • Feature extraction (speed, detect stops,...)
  • Statistical (Average speed, autocorrelation,...) analysis.


The easiest way to install movekit is by using pip :

pip install movekit

Movekit requires Python 3.5 or newer and:

  • Pandas (>=0.20.3,<=0.23.4)
  • SciPy (>= 1.3.1)
  • tsfresh (>= 0.12.0)
  • xlrd (>= 1.2.0)
  • seaborn (>= 0.9.0)


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


Movekit Development Status is 2-Pre-Alpha

For an overview of version changes see the CHANGELOG.

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


This project was funded by the DFG Centre of Excellence 2117 "Centre for the Advanced Study of Collective Behaviour" (ID: 422037984). See the LICENSE file for details

Copyright 2019 © University Konstanz - Data Analysis and Visualization Group

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