The objective of this manuscript is to review recent advances in methodologies for generating lowdimensional visual representations of chemical spaces. We emphasize on freely available and opensource methods. Despite the concept of chemical space having broad applicability in several areas of chemistry, including in organic and inorganic molecules (for instance, metallodrugs used in drug discovery ), this review focuses on the development and applications of chemical space to small organic compounds. It is expected that some of these methods can be extended or adapted to explore chemical space of other types of compounds. Using an analogy with the concept of a multiverse in cosmology, regions in the universe detached from one another exhibit distinct properties , and the systematic description of different types of chemical compounds with varying properties (metalcontaining molecules, larger chemical compounds relevant in polymers, material science, and biochemistry) can be increased to chemical multiverses.