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Python based modular simulation & postprocessing kickass toolbox

Project description

Status of continuous integration Link to PyPi Documentation Status

PyMoskito stands for Python based modular simulation & postprocessing kickass toolbox and is Free software (GPLv3)

PyMoskito is targeted at students and researchers working in control engineering. It takes care of all structure related programming a let’s you focus on the important things in life: control design It features a modular control loop structure that already contains most of the needed blocks a control engineer needs. Basically you implement your systems dynamics as well as a fancy control law and you are ready to go. On top PyMoskito also contains a GUI which let’s you easily fine-tune the parameters of your simulation.

Go ahead and give it a try!

Documentation can be found at

PyMoskito at work:

The main application simulating the Ball and Beam system:


The postprocessing application:


Another example a Double Pendulum:


with custom prostprocessors:


Still here? So PyMoskito features:

  • quick setup due to lightweight dependencies
  • modular control loop structure allowing easy configuration
  • easy integration of own system models through open interface
  • automatic simulation of simulation regimes (i.e. for parameter ranges)
  • export of simulation results for dedicated post processing
  • VTK based 3D visualization interface
  • playback functions for 3D visualization
  • ready-to-go graphs for all simulation signals


  • Stefan Ecklebe
  • Christoph Burggraf


Marcus Riesmeier


0.1.0 (2015-01-11)

  • First release on PyPI.

0.2.0 (2017-08-18)

  • Second minor release with lots of new features.
  • Completely overhauled graphical user interface with menus and shortcuts.
  • PyMoskito now comes with three full-fledged examples from the world of control theory, featuring the Ball and Beam- and a Tandem-Pendulum system.
  • The main application now has a logger window which makes it easier to see what is going on in the simulation circuit.
  • Several bugs concerning encoding issues have been fixed
  • Unittest have been added and the development now uses travis-ci
  • Version change from PyQt4 to Pyt5
  • Version change form Python 2.7 to 3.5+
  • Changed version to GPLv3 and added appropriate references for the used images.
  • Improved the export of simulation results
  • Introduced persistent settings that make opening files less painful.
  • Made vtk an optional dependency and added matplotlib based visualizers.
  • Large improvements concerning the sphinx-build documentation
  • Fixed issue concerning possible data types for simulation module properties
  • Introduced new generic modules that directly work on scipy StateSpace objects.

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