The idea behind entropy-based tuning is very simple: Since entropy is a measure of disorder, we expect the entropy of a well-tuned piano to be lower than the entropy of an instrument out of tune. A first test with real data led to the surprising result that a simple entropy-based iteration algorithm produces a reasonably-looking tuning curve.
Now we present a software which allows everyone to evaluate this new tuning method. With this software we do not aim to compete with high-end tuning devices and professional aural tuners, rather we would like to demonstrate that a single extremely simple formula can generate an acceptable tuning.