The development of fragmentation algorithms is often an iterative process with multiple steps of defining a rule set, applying it to suitable structural data, inspecting the results, and refining the algorithm based on what was observed in the previous step. This requires a testing workflow with fragment visualisation functions where two perspectives are of interest: One based on an individual molecule, i.e., which fragments result from its structure. The other considers a complete data set, asking which fragments occur how often in a set of structures.