Variability analysis is an essential step in the design of robust memristive systems. The memristor devices often are faced with device to device, and cycle to cycle variability, which can be analysed using different types of memristor model parameters. Different memristor devices fit best in behaviour to different memristor models, and there is no universal model that fits all memristor-like devices. Therefore, it is important to develop a library of memristor models to cross validate, fit and analyse the behavior of realistic devices connecting memristive systems implementation. In this paper, we propose a library that contains different models of memristor, that can be programmed, and analysed for studying variability, and sensitivity of model parameters. The focus is on those parameters that are practically relevant to the design of realistic memristive systems. This library provides the options for parameter tuning, noise analysis and device fitting to like the right models to the right devices.