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This paper presents a command-line tool, called Entropia, that implements afamily of conformance checking measures for process mining founded on thenotion of entropy from information theory. The measures allow quantifyingclassical non-deterministic and stochastic precision and recall qualitycriteria for process models automatically discovered from traces executed byIT-systems and recorded in their event logs. A process model has "good"precision with respect to the log it was discovered from if it does not encodemany traces that are not part of the log, and has "good" recall if it encodesmost of the traces from the log. By definition, the measures possess usefulproperties and can often be computed quickly.

Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining