DEVSimPy is an open Source project (under GPL V.3 license) supported by the SPE (Sciences pour l'Environnement) team of the UMR CNRS 6134 Lab. of the University of Corsica "Pasquale Paoli". This aim is to provide a GUI for the Modeling & Simulation of PyDEVS and PyPDEVS models. PyDEVS is an API allowing the implementation of the DEVS formalism in Python language. PyPDEVS is the parallel version of PyDEVS based on Parallel DEVS formalism which is an extension of the DEVS formalism. The DEVSimPy environment has been developed in Python with the wxPython graphical library without strong dependencies other than the Scipy and the Numpy scientific python libraries. The basic idea behind DEVSimPy is to wrap the PyDEVS API with a GUI allowing significant simplification of handling PyDEVS/PyPDEVS models (like the coupling between models or their storage into libraries).

The use of DEVSimPy requires:

• Python version 3.7+
• wxPython version 4.0+
• Scipy and Numpy (optional, for spectrum analysis)
• DEVSimPy should be used like a normal Python file, i.e., double-clicking on the devsimpy.py file which is located in the root directory or writing python devismpy.py into a python console.

Users which don't want to install python with all dependencies can use Portable Python (version 2.x). Then, just extract DEVSimPy archive and edit the devsimpy.py file with PyScripter to execute it. Users can also execute DEVSimPy through the conda env file loaded using the conda_devsimpy_env.yml file (available from the DEVSimPy-site repository).

With DEVSimPy you can:

• Model a DEVS system and save or export it into a library
• Edit the code of a DEVS model to modify behavior's (also during the simulation)
• Import existing library of models (python code or DEVSimPy specific models) which allows the specific domain modeling (Power system, continuous, etc)
• Automatically simulate the system and perform its analysis during the simulation (using the suspend option)
• Load plug-ins to extend DEVSimPy in order to perform activity tracking, trace the simulation with visual tools, etc.
• Generate YAML models for the DEVSimPy-mob mobile application.
• and more.

To get DEVSimPy v4.0 package with all Git submodules:

$ git clone --recurse-submodules -b version-4.0 --depth=1 https://github.com/capocchi/DEVSimPy.git
$ git fetch --unshallow 

DEVSimPy depends on PyPubSub, pyyaml, ruamel.yaml and other packages included in the requirements.txt file. All dependencies can be installed using pip with the requirements.txt file:

$ pip install -r requirements.txt

An XUbuntu 19.10 virtual machine including DEVSimPy can be donwloaded from DEVSimPy-on-XUbuntu19.10.ova. The login and password of the distribution (root) are: devsimpy-user/devsimpy. If you want to have the latest version of DEVSimPy, please execute 'git pull' in the DEVSimPy directory before starting or start DEVSimPy by double clicking on the desktop icon and go to Help->Update->From Git Repository (pull).

To execute DEVSimPy:

$ python devsimpy.py

For os X users, python.app is required in order to use pythonw instead of python to execute the devismpy.py file:

$ pythonw devsimpy.py

• DEVSimPy User Guide v2.8 [pdf] (French)
• S. Toma Ph.D, Thesis [pdf] (English), winner of the 2014 DEVS PhD Dissertation Award.
• S. Cezary, "Design and implementation of application for instruction exercises with DEVSimPy", Technical report, Faculty of Electrical Engineering, AUTOMATION AND INFORMATION TECHNOLOGY, Kielce University of Technology [pdf] (Polish)

If you use DEVSimPy in your research, you can cite it with using the following bibtex references:

@misc{capocchi2019devsimpy,
   author = {Laurent Capocchi},
   title = {DEVSimPy},
   year = {2019},
   publisher = {GitHub},
   journal = {GitHub repository},
   howpublished = {\url{https://github.com/capocchi/DEVSimPy}},
}

@INPROCEEDINGS{5990023,
author={L. {Capocchi} and J. F. {Santucci} and B. {Poggi} and C. {Nicolai}},
booktitle={2011 IEEE 20th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises},
title={DEVSimPy: A Collaborative Python Software for Modeling and Simulation of DEVS Systems},
year={2011},
volume={},
number={},
pages={170-175},
keywords={discrete event simulation;large-scale systems;modelling;simulation;collaborative python software;DEVS systems;complex systems;collaborative M&S software;hydraulic network management;modeling and simulation;Object oriented modeling;Mathematical model;Libraries;Computational modeling;Collaboration;Data models;Predictive models;Modeling;Simulation;Collaborative software;Discrete event systems;Hydraulic systems;Software libraries},
doi={10.1109/WETICE.2011.31},
ISSN={},
month={June},}

• You can watch some DEVSimPy features videos on Youtube