This demo paper introduces an application that is capable of identifying and visualising diagnostic arguments within abstract argumentation systems. The software presented is underpinned by a novel algorithm, called the Diagnostic Argument Identifier, that combines a semantic-based approach with a technique from the information-theoretic literature, to quantify the impact that the removal of an argument has on the acceptability of other arguments.