RamanSPy as a platform for general Raman spectroscopy analytics. RamanSPy is based on a modular, object-oriented programming (OOP) infrastructure, which streamlines the RS data analysis life cycle (Fig. ) and allows users to compile diverse analysis workflows with a few lines of reusable, user-friendly code (Fig. ). The framework adopts a scalable array-based data representation, which accommodates different spectroscopic modalities, including single-point spectra, Raman imaging data, and volumetric scans. RamanSPy Experimental data can be loaded through custom loaders built into RamanSPy or through standard tools available in Python. The data representation functions as a common data container that defines the interface between RS data management and manipulation within RamanSPy, allowing us to unify data standards across setups and vendors, independent of instrumental origin and acquisition modality.