PUFs rely on manufacture variations in integrated circuits for providing security properties such as authentication without the need explicitly storing cryptographic keys. More specifically, delay-based PUFs depend on signal delays in digital circuits. This work proposes an open source platform to simulate the digital behavior of delay-based PUF models, measure performance according to security metrics and apply machine learning techniques on an attempt to predict their responses.