• models can be defined using species or reaction counts
• both dense 'rectangular' and sparse state spaces are supported
• error due to state space truncation may be tracked with an FSP-style 'sink' state
• reaction propensities may be scaled by time dependent coefficients
• common statistical results are easily obtained

CmePy was developed for Python 2.5, and depends upon the following packages:

• SciPy 0.7
• Numpy 1.2.1
• Matplotlib (required only to plot example results)

CmePy also works with Python 2.6, provided SciPy 0.7 and Numpy 1.3 are used.

Download CmePy now as a ZIP or TAR archive.

Alternatively, if you have the Git version control system installed, you may prefer to check out a copy of CmePy directly from GitHub, via:

git clone git://github.com/fcostin/cmepy.git

Once CmePy has been obtained, the package can be tested by running the test_all.py script via Python as follows:

python test_all.py

CmePy may then be installed via the setup.py script:

python setup.py install

More detailed installation tips are available via the online documentation.

See http://fcostin.github.com/cmepy/

• Reuben Fletcher-Costin ( reuben dot fletchercostin at gmail dot com )
• Markus Hegland ( markus dot hegland at anu dot edu dot au )