Graphical approaches help to explore structure–activity relationships (SARs) in large and heterogeneous compound data sets. Herein, we review recent methodological developments in SAR visualization for medicinal chemistry. Different concepts are discussed for projecting high-dimensional feature spaces or generating SAR networks and other graphical SAR views. In addition, a perspective on new opportunities for activity landscape design and SAR visualization is provided.