To accomodate for the Minor Intelligent Mobility at the Rotterdam University of Applied Sciences, a native Python interface was added. While the controlled system and visualisation utilize the facilities of SimPyLC, the control itself is written in pure Python. Simply replacing the input and output methods by the real thing should lead to a working "real world" system (and is known to do so in practice).
However, note that SimPyLC's license (QQuick license) prohibits use in circumstances where injury or damage can be caused! SimPyLC is useful to gain insight but should not be used to validate or control anything real, except for tiny models who's malfunction doesn't cause problems.
The installation procedure has been simplified and the docs have been updated. Take a look at the simpylc_howto.pdf for installation instructions. Testing of this new version was done on Linux and Windows, not on Apple. I'm not that rich ;)
Have fun!