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SPECTROview Uses NumPy Vectorization for Faster Batch Spectral Fitting

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SPECTROview, an open-source Python desktop application for spectroscopic processing and fitting, replaces slow per-spectrum loops with a NumPy-based vectorized batch fitting engine. The authors report speedups of 16 to 62 times over one-by-one lmfit fitting on a consumer laptop, with the largest test covering 16,384 spectra. The software, built with a PySide6 interface, covers import, baseline correction, multi-peak fitting, and figure export, and is released under GPL-3.0. Its description appeared in SoftwareX, an open-access Elsevier journal focused on citable research software, after a reported 17-day path from submission to acceptance. The single-author paper was published in July 2026.

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SPECTROview Uses NumPy Vectorization for Faster Batch Spectral Fitting · ShortSingh