To generate a visual representation of the multiple chemical spaces each defined with a specific representation (e.g., chemical multiverses) of Met-AP DB, the fingerprint Metal-FP1, Metal-FP2, and Metal-FP3 were calculated for each compound and the visualization was done using t- distributed stochastic neighbor embedding (t-SNE). This visualization method was selected based on recent studies that support the usefulness of t-SNE for the systematic study of small and large datasets regarding neighborhood preservation and visualization capabilities. The t-SNE coordinates were calculated by a workflow implemented in KNIME, and the output data were visualized using DataWarrior V.6.35, The parameters used for the dimensional reduction were: dimensions (3), iterations (10,000), theta (0.3), perplexity (15.0), and number of threats (8), using 28 as the seed number. The input and output data, workflows, and interactive visualization files are available at .