Gasparri, D.D.GasparriMorelli, L.L.MorelliBattino, U.U.BattinoMendez-Abreu, J.J.Mendez-Abreude Lorenzo-Caceres, A.A.de Lorenzo-Caceres2026-07-072026-07-072026-04ASTRONOMY AND COMPUTING, 55, 101051 (2026). https://doi.org/10.1016/j.ascom.2025.1010512213-13372213-1345https://hdl.handle.net/20.500.12740/24608The increasing availability of high-quality optical and near-infrared spectroscopic data, as well as advances in modelling techniques, have greatly expanded the scientific potential of spectroscopic studies. However, the software tools needed to exploit this potential often remain fragmented across multiple specialised packages, requiring scripting skills and manual integration to handle complex workflows. In this paper we present SPAN (SPectral ANalysis), a cross-platform, Python-based Graphical User Interface (GUI) software that integrates the essential steps of the modern spectroscopic workflow within a single, user-friendly environment. SPAN provides a coherent framework that unifies data preparation, spectral processing, and analysis tasks, using the pPXF software as its core engine for full spectral fitting. SPAN allows users to extract 1D spectra from FITS images and datacubes, perform spectral processing (e.g. Doppler correction, continuum modelling, denoising), and carry out detailed analyses, including equivalent width measurements, stellar and gas kinematics, and stellar population studies. It runs natively on Windows, Linux, macOS, and Android, and is fully task-driven, requiring no prior coding experience. We validate SPAN by comparing its output with existing pipelines and literature studies. By offering a flexible, accessible, and well integrated environment, SPAN simplifies and accelerates the spectral analysis workflow, while maintaining scientific accuracy.GalaxiesLine-strengthPythonSpectroscopyKinematicsFull spectral fittingArticulohttps://doi.org/10.1016/j.ascom.2025.101051