Knowledge Graphs rely on conceptional knowledge (TBox) and concrete data instances (ABox). Both types of statements are represented by RDF triples, hence, they are located in the same data storage. As this is an advantage from the aspect of generalization, it might become difficult to distinguish between the purpose of the triples when exploring a knowledge graph. Additionally, the success of knowledge graphs leads to larger data sets that might make it also harder to identify and recognize the information of interest, its connections, and patterns. KinGVisher was designed and developed as a visual explorer for knowledge graphs, providing automatic graph layouts and supporting users in creating a clear view of the knowledge graph. We publish this as a full-fledged, open-sourced web application online, which is freely available to all users.