Victor Ferat enhanced the mne-tools/mne-python repository by developing advanced source space visualizations for the MNE-Python Report, focusing on 3D rendering and precise coordinate frame integration. Using Python and leveraging skills in scientific computing and data visualization, Victor implemented configurable 3D and BEM views that improve the interpretability and accuracy of analytics for researchers. The work bridged technical depth with user-facing clarity, enabling seamless integration of source space visualizations into reporting workflows. This feature addressed the need for more accurate and flexible visualization tools, ultimately raising the quality of data reporting and supporting more effective scientific analysis within the platform.