Table provides user-extended descriptive statistics that support the optical fingerprint quantitatively. With the exception of the mean values, all statistic benchmark values indicate a 4 to 40% improvement in the Jupyter-fitted results over CLI. Although it may seem that the Jupyter plugin provides more accurate results, this is not the case. Both CLI and Jupyter use the same fitting backend, which means that the data processing algorithms are concealed from the end user. As a result, both approaches provide identical fitting results. However, as stated in the Features and Usage, Jupyter allows the user to work with and comprehend the data in greater detail, which may require more time than using CLI.