PyDSTool

This is a beta release version.

PyDSTool is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems).

PyDSTool is platform independent, written primarily in Python with some underlying C and Fortran legacy code for fast solving. It makes extensive use of the numpy and scipy libraries. PyDSTool supports symbolic math, optimization, phase plane analysis, continuation and bifurcation analysis, data analysis, and other tools for modeling -- particularly for biological applications.

The project is fully open source with a BSD license, and welcomes contributions from the community.

See more at pydstool.sourceforge.net.

Requirements

• Python 3.6+;
• numpy;
• scipy.

Dopri/Radau and AUTO interface requirements

• swig > 2.0;
• C compiler (e.g, gcc or clang);
• GNU Fortran compiler (Radau only).

Optional requirements

• matplotlib Matplotlib is needed for plotting functionality and running many of the examples.

Recommended

• ipython

Installation

Debian/Ubuntu

• install necessary packages:

  sudo apt-get update
  sudo apt-get install -qq gfortran swig
  sudo apt-get install -qq python-numpy python-scipy python-matplotlib
  

• install PyDSTool:

  sudo python setup.py install
  

  or

  sudo python setup.py develop
  

  Run without sudo and add flag --user to install for local user only.

Getting started and documentation

See the online documentation, particularly the GettingStarted and Tutorials pages! Please report bugs and suggestions using the user forum linked to there.

Tests and examples

Running examples

Examples can be found in the examples directory. Some examples can only be run once, others have produced their output, for instance HH_loaded.py, HH_loaded_dopri.py. Several of the examples require an external compiler. An easy way to run all the examples in an appropriate order is to run the script 'run_all_tests.py':

cd examples
python run_all_tests.py

There is a simple option in that file that you may need to edit in order to select whether the external compiler tests should be run (in case you do not have gcc and gfortran working on your system).

Note that on some platforms you will see an error report when the script tries to automatically close matplotlib graph windows, to the effect of:

"Fatal Python error: PyEval_RestoreThread: NULL tstate"

This error can be ignored. You may also have to close the plot windows yourself before the script can continue. This will depend on your platform and settings.

Running test suite

To run test suite, install py.test and mock, using pip:

sudo pip install py.test mock

or package manager:

sudo apt-get install python-pytest python-mock

Then run:

python setup.py test

Getting coverage report

• install pytest-cov

  sudo pip install pytest-cov
  

• run py.test

  py.test --cov PyDSTool --cov-report html --cov-config .coveragerc
  

• open file htmlcov/index.html in your browser

Credits

Coding and design by Robert Clewley, Erik Sherwood, Drew LaMar, Vladimir Zakharov, and John Guckenheimer, except where otherwise stated in the code or documentation. (Several other open source codes have been redistributed here under the compatible licenses.)