Traditional visualization techniques, such as reaction path plots, leverage ab-initio data to provide a two-dimensional view of the network's thermodynamics and, when including activation energies, its kinetic behavior. While effective for small, straightforward reactive systems, these plots fall short in representing the intricate, branched networks characteristic of homogeneous and heterogeneous catalysis. This comes as a direct consequence of employing a linear reaction coordinate (step-by-step process) as the x-coordinate of the plot. A more robust alternative is the depiction of reaction mechanisms as reaction network graphs , encoding the reaction intermediates as nodes and the reactions which interconnect them, as edges. More specifically, reaction networks are formed by elementary reactions, which are chemical transformations in which one or more reactants evolve into products in a single reaction step . This conceptualization of chemical processes is shared not only by both homogeneous and heterogeneous catalysis , but also by any non-catalytic cascade of chemical reactions. Typically, these more complex networks have been illustrated through manually drawn graphs, tracing the reaction mechanism, as depicted in the left part of Figure . The most used tools to trace these reaction mechanisms and linear energy diagrams manually are Adobe Illustrator , OriginLab , Inkscape , Matplotlib , and ChemDraw , among others. From there, it is possible to switch to a representation that is more akin to graphs in other domains of science, explicitly showing nodes as circles and edges as full connections between them (right side of Figure ), using tools such as Graphviz .