One approach to analyze chemical multiverses is through constellation plots. A common limitation of most visualization methods of chemical space is that they capture a single type of molecular representation, emphasizing the dependence of the chemical space on the structure representation. To address this issue, constellation plots, generally depicted in Figure , combine, in a single graph, multiple structural representations providing a broader perspective of the contents, diversity, and, if desired, a property of interest (e.g., biological activity, either experimental or predicted). Specifically, constellation plots combine a coordinate-based chemical space representation of analog series. Constellation plots facilitate the identification of entire zones in chemical space enriched with active compounds ('bright' SAR) or with predominantly or all inactive molecules ('dark' regions or "black holes"). In analogy with the cosmic space, the name 'constellations' is associated with clusters of analog series with similar chemical structures (given by similar coordinates in the two-dimensional plot). Combining multiple structural representations or, more generally, complementary approaches, is founded on the general notion that multiple and well integrated approaches perform overall better than individual methods. Since constellation plots combine various structural representations in a single plot, it can be proposed that these plots are a manner to represent visually chemical multiverses. Virtually any property of interest can be depicted in a constellation plot, such as experimental activity data or results from virtual screening, for instance, docking scores, predicted binding affinities, similarity values, or any other estimated value. This can be useful to identify, for instance, promising analog series for prioritization in experimental screening or additional computational studies before final selection for experimental evaluation.