To run ULaMDyn, essential Python packages like SciPy, Pandas, and tslearn should be installed. The list of requirements is provided when downloading the package, and instructions for any additional libraries are provided in the Python notebook accompanying the package. The reader must have access to a platform capable of executing them, such as a dedicated integrated development environment (IDE) like Jupyter or equivalent alternatives. Alternatively, ULaMDyn can be run as a single code line, and subsequent analysis can be done using simple Python scripts. The notebook example and code provided in this article are designed to be executable on a standard laptop, ensuring accessibility and ease of implementation for a broad range of readers.