spectroview 26.18.3

SPECTROView: A Tool for Spectroscopic Data Processing and Visualization

SPECTROview : A Tool for Spectroscopic Data Processing and Visualization.

SPECTROview is free, open-source software designed for spectroscopic data analysis. It supports a wide range of data types, including discrete spectra and hyperspectral data (such as 2D maps and wafer maps).

With its built-in visualization tools, SPECTROview streamlines your workflow by combining data processing and visualization into a single, efficient application.

• Installation: Instructions can be found at the bottom of this page.

• Check out Releases page for the latest updates and new features.

• Getting Started: Check out this folder to see the supported data formats and find example datasets for practice.

• Documentation: A detailed manual is available here or can be accessed directly within the application.

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Features:

• Cross-platform compatibility (Windows, macOS, Linux).
• Supports processing of spectral data (1D) and hyperspectral data (2D maps or wafer maps)*.
• Ability to fit multiple spectra or 2Dmaps using predefined models or by creating custom fit models*.
• Collect all best-fit results with one click.
• Optimized user inferface for easy and quick inspection and comparison of spectra.
• Dedicated module for effortless, fast, and easy data visualization.

*Fitting features are powered by the fitspy and lmfit open-source packages.

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Three separate tabs for processing discrete spectra, hyperspectral data, and data visualization:

Build a fit model for later use, copy/paste to others, fit multiple spectra or maps, collect all best-fit results with one click:

Plot and visualize data radpily and easily:

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Installation from PyPI:

Make sure that Python (version between 3.8 and 3.12) is already installed.

pip install spectroview

Installation from Github:

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

To launch SPECTROview:

spectroview

Acknowledgements

This work, carried out on the CEA - Platform for Nanocharacterisation (PFNC), was supported by the “Recherche Technologique de Base” program of the French National Research Agency (ANR).

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Citation

Le, V.-H., & Quéméré, P. (2025). SPECTROview : A Tool for Spectroscopic Data Processing and Visualization. Zenodo. https://doi.org/10.5281/zenodo.14147172