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SPECTROview

An Open-Source Application for Interactive Spectroscopic Data Processing, Fitting, and Visualization

SPECTROview is a free, open-source software designed for advanced spectroscopic data analysis.
It supports discrete spectra and hyperspectral datasets such as 2D maps and wafer maps,
with integrated visualization tools that streamline your analytical workflow.


✨ Key Features

Feature Description
Vectorized Batch Fit Engine Ultra-fast fitting via batched matrix operations — simultaneously fit multiple spectra or large 2D maps
🧩 Custom Fit Models Build and reuse custom fit models tailored to your specific spectroscopic profiles
📊 Versatile Data Processing Seamlessly handle both 1D spectral data and 2D hyperspectral data
📋 Unified Results Collect and compile all best-fit results with a single click
🎨 Advanced Visualization Dedicated workspace for fast, publication-ready visualizations
🖥️ Optimized UI Designed for quick inspection, filtering, and comparison of large spectral datasets

🎬 Demonstrations

📁 Dedicated workspaces for discrete spectra, hyperspectral data, and visualization

SPECTROview Overview

📐 Design custom fit models and simultaneously process multiple spectra

Fitting Demo

📈 Rapidly generate publication-ready data visualizations

Graphs Demo


🚀 Quick Start

SPECTROview requires Python 3.8 – 3.12.

Install from PyPI:

pip install spectroview

Or install the latest development version from GitHub:

pip install git+https://github.com/CEA-MetroCarac/SPECTROview.git

Launch:

spectroview

📚 Documentation

Full documentation is available at CEA-MetroCarac.github.io/SPECTROview:

Resource Link
📖 User Manual Online manual (also accessible within the app)
🛠️ Developer Guide Developer docs
📝 Changelog Release notes
📂 Examples /examples — sample datasets and supported formats

🙏 Acknowledgements

This work was carried out at the CEA — Platform for Nanocharacterisation (PFNC) and supported by the "Recherche Technologique de Base" program of the French National Research Agency (ANR).


📄 Citation

If you use SPECTROview in your work, please cite:

Le, Van Hoan. "SPECTROview: An Open-Source Application for Interactive Spectroscopic Data Processing, Fitting, and Visualization." SoftwareX 35 (September 2026): 102862. https://doi.org/10.1016/j.softx.2026.102862.

BibTeX
@article{le2026spectroview,
    title     = {SPECTROview: An Open-Source Application for Interactive
                 Spectroscopic Data Processing, Fitting, and Visualization},
    author    = {Le, Van Hoan},
    journal   = {SoftwareX},
    volume    = {35},
    pages     = {102862},
    year      = {2026},
    month     = sep,
    publisher = {Elsevier},
    doi       = {10.1016/j.softx.2026.102862}
}

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