Dimensionality reduction is often a useful way to visualize property space of ligands. Fey and coworkers have shown the value of condensing several molecular descriptors to only a few dimensions through PCA, especially to visualize connections and differences between different ligands. Here we used PCA and UMAP to analyze several categories of tridentate ligands. Figure shows PCA and UMAP plots of 11 different tridentate ligand sets and about 300 total ligands within the ReaLigands library. These ligands have C, N, O, and P atom direct connections with the metal center. The PCA and UMAP analyses were performed in sci-kit learn using features generated by Mordred. To visualize the PCA analysis, the top of Figure shows a plot of the two most important components and color coded for the type of tridentate ligand. The bottom of Figure shows a similar component plot with UMAP. While both analyses demonstrate separation between labeled subclasses of tridentate ligands, UMAP provides the most segregation. For example, ligands with a metal connection of type NNN or NNO are distanced from ligands with connection type PPP and NPP. However, while there is some separation between different types of tridentate ligands there is often a smooth connection and overlay between multiple ligand subclasses. There are also some ligands that span nearly the entire spectrum. For example, CCC type ligands are often found throughout the entire chemical space, which likely illustrates the flexibility for designing these types of ligands with different properties. Color coding is according to direct atomic connections with a metal center.