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CellLab-CTS 2015 is a Python-language software library for creatingtwo-dimensional, continuous-time stochastic (CTS) cellular automaton models.The model domain consists of a set of grid nodes, with each node assigned aninteger state code that represents its condition or composition. Adjacentpairs of nodes may undergo transitions to different states, according to auser-defined average transition rate. A model is created by writing a Pythoncode that defines the possible states, the transitions, and the rates ofthose transitions. The code instantiates, initializes, and runs one of fourobject classes that represent different types of CTS models. CellLab-CTSprovides the option of using either square or hexagonal grid cells. Thesoftware provides the ability to treat particular grid-node states as movingparticles, and to track their position over time. Grid nodes may also beassigned user-defined properties, which the user can update after eachtransition through the use of a callback function. As a component of theLandlab modeling framework, CellLab-CTS models take advantage of a suite ofLandlab's tools and capabilities, such as support for standardized input andoutput

CellLab-CTS 2015: continuous-time stochastic cellular automaton modeling using Landlab