Calling the jHRMS toolbox in Julia loads all related packages and makes all the functions accessible in the command line. This also provides the user with the option to use the graphical user interface and/or the command line. Since the jHRMS toolbox is fully opensource and open-access, the toolbox can be tailored to the users' needs. This could include developing new algorithms as part of a full workflow, implementing other algorithms of interest, and adding visualization features. These changes can then also be provided to other users in a team, enabling them to use more advanced and tailored features through the user interface. The Julia programming language also allows calling functions and packages written in other programming languages, including Python, C/C++, and R. This enables the user to implement algorithms written in other languages into the jHRMS toolbox. Also, the toolbox is operating system agnostic, thus can be used on Windows, macOS, and Linux operating systems. The toolbox has also an option to save and load methods, allowing the user to keep track of which dataset has been processed with what settings.Finally, the jHRMS toolbox provides extensive and step-by-step reporting at each point of the workflow.