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

📐 Design custom fit models and simultaneously process multiple spectra

📈 Rapidly generate publication-ready data visualizations

---

🚀 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}
}

---