Unique features of the malaria life-cycle and transmission dynamics requires extensions of typical population genetic simulators. Using a discrete-loci, discrete-time structured Wright Fisher framework, we simulate malaria population genetics forwards in time. Users are then able to capture the full Ancestral Recombination Graph.