Developed foundational support for time-domain functional near-infrared spectroscopy (TD fNIRS) data within the mne-tools/mne-python repository, enabling streamlined analysis and notebook-based workflows for SNIRF-compatible datasets. The work focused on integrating TD fNIRS data handling into existing scientific computing pipelines using Python, with an emphasis on data analysis and signal processing. Collaboration with multiple contributors ensured code quality and minimal disruption to established workflows. By enabling seamless integration of TD fNIRS data, the contribution laid the groundwork for future expansion of analysis tools and improved reproducibility in research, enhancing accessibility for users working with NIRS data in computational environments.