CoSyNE is a neuroevolution method where synapses of the network are evolved in separate subpopulations in a cooperative fashion. It is particularly powerful in control tasks such as double pole balancing, where it has performed better than other methods. The code is structured so that it is easy to apply it to other tasks by changing the environment class.