This paper presents gnss_lib_py, a Python library used to parse, analyze, and visualize data from a variety of GNSS (Global Navigation Satellite Systems) data sources. The gnss_lib_py library's ease of use, modular capabilities, testing coverage, and extensive documentation make it an attractive tool not only for scientific and industry users wanting a quick, out-of-the-box solution but also for advanced GNSS users developing new GNSS algorithms. gnss_lib_py has already demonstrated its usefulness and impact through presentation in academic conferences, use in research papers, and adoption in graduate-level university course curricula.
@article{arxiv.2404.08854,
title = {gnss_lib_py: Analyzing GNSS Data with Python},
author = {Derek Knowles and Ashwin Vivek Kanhere and Daniel Neamati and Grace Gao},
journal= {arXiv preprint arXiv:2404.08854},
year = {2024}
}