Open-source application enhances spectroscopic data processing and visualization, benefiting various fields.
SPECTROview is an open-source, Python-based desktop application for interactive spectroscopic data processing, multi-peak fitting, and visualization. It was developed primarily for semiconductor material characterization and metrology using Raman spectroscopy, FTIR and photoluminescence, and the examples presented in this paper reflect this application domain. However, its core functionalities, including data import, preprocessing (cropping and baseline correction), peak fitting, and visualization, are domain-independent and can be applied to spectroscopic data from a wide range of fields, including biomedical spectroscopy, chemistry, and geosciences. The software is organized into three integrated workspaces (Spectra, Maps, and Graphs) that cover the complete analysis workflow, from importing discrete spectra or hyperspectral data to interactive preprocessing, multi-peak fitting, and publication-quality statistical visualization. A key contribution is the Vectorized Batch Fit (VBF) engine, a batched Levenberg-Marquardt optimizer that fits all spectra of a dataset simultaneously using vectorized NumPy operations and analytical Jacobians, achieving up to 60 × speed up over conventional lmfit based per-spectrum approaches. The software is released under the GPL-3.0 license and is freely available on GitHub and PyPI.
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Van‐Hoan Le (2026) studied this question.
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