SimPy is a discrete-event simulation library for Python. It can perform simulations as fast as possible as well as in real time (or wall-clock time). This guide describes real-time simulations can be achieved in SimPy.

SimPy is a discrete-event simulation library for Python. This guide describes its shared resources and shows how you can use them to model things like producer/consumer problems.

SimPy is a discrete-event simulation library for Python. This guide describes how you can let processes interact with each other – because this is what makes simulation fun!

SimPy is a discrete-event simulation library for Python. This guide describes how events in SimPy work and which types of events SimPy offers.

SimPy is a discrete-event simulation library for Python. This guide describes the simulation environments: A simulation environment manages the simulation time as well as the scheduling and processing of events. It also provides means to step through or execute the simulation.

SimPy is a discrete-event simulation library for Python. This guide describes the basic concepts of SimPy: How does it work? What are processes, events and the environment? What can I do with them?

SimPy 3.0.2 has just been released. It fixes the default capacity for Container, Store and FilterStore, which is now unlimited.