Welcome to StochPy.
The latest release is 1.0.5 (May 22th 2012)
Because of the flexible design of StochPy, we decided to offer users of StochPy both the Cain and StochKit stochastic solvers in StochPy. As a result, the user can benefit from the speed advantage of these frame-based solvers in the interactive modelling environment of StochPy. StochPy's solvers return the original stochastic simulation output which makes it slower than these frame-based solvers. However, the original data allows us to store all the data of the simulation such that we can analyse the information about the time between events (waiting times).
For frame-based simulations note that the number of frames chosen by the user determines the accuracy of the simulation results. As an example, creating accurate probability density functions requires a number of frames that is in the same order of the number of time steps. Consequently, there is almost no speed benefit of using this frame-based approach for getting accurate probability density functions. On the other hand, frame-based simulations can be useful to get an indication of the behaviour of your model, or to get the species means and standard deviations in a faster manner.
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