4. The algorithm ranking was refined through statistical analysis. If no statistically significant difference was found between two or more algorithms, they were assigned the same ranking position for each metric. This aggregate ranking allows for a balanced evaluation that considers multiple facets of the quality of conformer generation. It's important to note that while some algorithms may excel in certain metrics, they might underperform in others. However, it's crucial to consider that the relative importance of each metric may vary depending on the specific application or research context. Table lists the scores of the algorithms based on their results across each evaluated variable. An ideal algorithm would consistently achieve the top position in all metrics, resulting in a total RANK value of 8. It is important to note that for a more generalized comparison, any additional methods beyond those examined in this study should be evaluated using the same data, metrics, and ranking methodology. According to this ranking, Moltiverse ranks first overall, achieving a RANK of 19. However, it still shows room for improvement in four key areas: accuracy (RMSDmin), precision (RMSDstd), lower limit of accuracy (RMSDlow), and RMSDmatrix.