SimRecommender is a modular perl framework to simulate and test attacks on recommender systems. It uses a plug-in architecture to integrate different attacks and recommender algorithms.The development was supported by NSF award IIS-0812042 (see README).
Algorithm::MatchingModel is a perl library for running match simulations and statistics for two-sided matching problems. It includes classes for a preference factory, algorithm plug-ins, and gathering statistics between rounds.