The increasing prevalence of mobility data in diverse applications such as traffic management requires specialized tools for manipulating it. This paper introduces MEOS (Mobility Engine Open Source), a versatile C library designed explicitly for managing and processing mobility data. MEOS is a highly adaptable solution, providing a single code base that can be readily adapted to multiple programming languages, including Python and SQL, numerous computing environments, from edge to cloud computing, from batch to stream processing. We further extend our discussion to PyMEOS, a specialized Python library developed as a binding to MEOS, offering additional functionality that enhances the analytic capacity with data visualization and data frame integration. This demonstration comprises a series of queries using two different languages, namely, MEOS (C) and PyMEOS (Python).
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