Skip to main content

SPECTROView: A Tool for Spectroscopic Data Processing and Visualization

Project description

PyPI version Doc Github Downloads

SPECTROview: A Tool for Spectroscopic Data Processing and Visualization

SPECTROview is a free, open-source software application designed for advanced spectroscopic data analysis. It supports a diverse array of data types, including discrete spectra and hyperspectral datasets such as 2D maps and wafer maps.

With its integrated visualization tools, SPECTROview streamlines your analytical workflow by consolidating data processing and visualization into a single, cohesive application.

Documentation

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

  • For Users: A comprehensive user manual is available online and can also be accessed directly within the application.
  • For Developers: A detailed developer guide is available here.
  • Changelog: Review the latest updates and release notes here.
  • Getting Started: Explore the /examples folder to familiarize yourself with supported data formats and find example datasets for practice.

Key Features

  • High-Performance Vectorized Batch Fit Engine (VBF Engine): Achieves very fast fitting speeds through batched matrix operations, capable of simultaneously fitting multiple spectra or large 2D maps.
  • Custom Fit Models: Construct customized fit models for specific spectroscopic profiles and reuse them to rapidly analyze new datasets.
  • Versatile Data Processing: Seamlessly process 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 generating fast, publication-ready data visualizations.
  • Optimized User Interface: Designed for quick inspection, filtering, and comparison of large spectral datasets.

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

Design custom fit models and simultaneously process multiple spectra

Rapidly generate publication-ready data visualizations


Installation from PyPI

SPECTROview requires Python (versions 3.8 through 3.12).

pip install spectroview

Installation from GitHub

To install the latest development version directly from the source repository:

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

Launch SPECTROview

Open your terminal or command prompt and execute:

spectroview

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 for data processing or visualization in your research, please cite the following publication:

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

spectroview-26.25.3.tar.gz (42.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

spectroview-26.25.3-py3-none-any.whl (42.3 MB view details)

Uploaded Python 3

File details

Details for the file spectroview-26.25.3.tar.gz.

File metadata

  • Download URL: spectroview-26.25.3.tar.gz
  • Upload date:
  • Size: 42.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for spectroview-26.25.3.tar.gz
Algorithm Hash digest
SHA256 0b51515d81b1537813571d56d0517fb8a4f80365907bd98074630b461299d544
MD5 2f5c7e2c1fdb9cf96cce13e7f0e58c72
BLAKE2b-256 b5cdc8035e0b88b2dc08fd433f880594faa4fe9fa8f292422304a6056ef71ca4

See more details on using hashes here.

File details

Details for the file spectroview-26.25.3-py3-none-any.whl.

File metadata

  • Download URL: spectroview-26.25.3-py3-none-any.whl
  • Upload date:
  • Size: 42.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for spectroview-26.25.3-py3-none-any.whl
Algorithm Hash digest
SHA256 8dc1ee56cab981e4d6729704a0387cb8c50ce9f23ebbb780061872c5b836caa9
MD5 b5a1aaf2ecd30cf1297c1f110610937e
BLAKE2b-256 8ac52835e4a8419c6a9cf6377c841d4ad06d75b403ca12e82dcaeb46b3f4344f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page