Skip to main content

SPECTROview Banner

PyPI version Python Versions Downloads License: GPL v3 Docs GitHub Stars GitHub Issues Platform DOI SoftwareX

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
🔌 Local MCP Server Opt-in localhost access to the running datasets, spectra, maps, fits, and graphs for external MCP clients
⚡ 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}
}

Metadata

Release files for spectroview 26.37.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for spectroview 26.37.1
File Size Uploaded
spectroview-26.37.1.tar.gz 43.7 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for spectroview 26.37.1
File Interpreter ABI Platform
spectroview-26.37.1-py3-none-any.whl Python 3 none any Details

Total release size: 87.5 MB

Release files / spectroview-26.37.1.tar.gz

Download URL spectroview-26.37.1.tar.gz
Size 43.7 MB
Tags Source
SHA-256 checksum
How to use checksums
cdaed26eb86ce16c9aa2057c5af12d95e79b5f8dbcc23cf7dc4844ed11642c65
BLAKE2b-256 checksum
How to use checksums
33edbf0f4fb36af113920ac68a86e64ce10bf4ef69b7cf1f22e2138dd651d650
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 13, 2026.

Transparency log

Release files / spectroview-26.37.1-py3-none-any.whl

Download URL spectroview-26.37.1-py3-none-any.whl
Size 43.8 MB
Tags Python 3
SHA-256 checksum
How to use checksums
d56639e239a84fd07e36818677e31328e7ad2d0789a65c2105d21004fd77bca0
BLAKE2b-256 checksum
How to use checksums
f6619fe0d3ab036dd790c04711dbb1e26472ed2769bb5d75aebb27542b4eb98c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 13, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

26.37.1 This release

2 release files

26.9.5

2 release files

26.9.4

2 release files

26.9.3

2 release files

26.9.2

2 release files

26.9.1

2 release files

26.8.2

2 release files

26.8.1

2 release files

26.5.1

2 release files

26.4.1

2 release files

26.3.2

2 release files

26.3.1

2 release files

26.2.1

2 release files

26.1.0

2 release files

0.9.8

2 release files

0.9.6

2 release files

0.9.5

2 release files

0.9.3

2 release files

0.9.2

2 release files

0.9.1

2 release files

0.9.0

2 release files

0.8.7

2 release files

0.8.6

2 release files

0.8.5

2 release files

0.8.4

2 release files

0.8.3

2 release files

0.8.2

2 release files

0.8.0

2 release files

0.7.8

2 release files

0.7.7

2 release files

0.7.4

2 release files

0.7.1

2 release files

0.7.0

2 release files

0.6.2

2 release files

0.6.1

2 release files

0.5.1

2 release files

0.4.8

2 release files

0.4.6

2 release files

0.4.5

2 release files

0.4.0

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.0

2 release files

0.1.4

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page