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SPECTROview

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
🤖 AI Chat Agent Talk to SPECTROview in plain language to filter data, run analyses, and create or customize multiple plots — powered by your own local (Ollama) or cloud LLM
⚡ 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}
}

Project links

Data verified by PyPI on Aug 24, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Newer release available (26.35.3)

1 maintainer

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Avatar for hoanle from gravatar.com hoanle

Credits

PyPI data
Data sourced directly from PyPI's database.

Author: Van Hoan Le

GitHub Statistics

Data verified by PyPI on Aug 24, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

GNU General Public License v3 (GPLv3) (GNU GENERAL PUBLIC LICENSE)

Requires

Python >=3.8

Provides Extra

dev test

Tags

SPECTROview fit fitting spectra spectrum spectroscopic visualization Raman Photoluminescence wafer-data 2D-maps data-analysis MVVM PySide6 Qt hyperspectral-imaging

Classifiers

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