Skip to main content

SPECTROView: A Tool for Spectroscopic Data Processing and Visualization

Project description

PyPI version Github Downloads DOI

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.

  • 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.


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.


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:


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).


Citation

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-26.16.1.tar.gz (9.1 MB view details)

Uploaded Source

Built Distribution

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

spectroview-26.16.1-py3-none-any.whl (9.1 MB view details)

Uploaded Python 3

File details

Details for the file spectroview-26.16.1.tar.gz.

File metadata

  • Download URL: spectroview-26.16.1.tar.gz
  • Upload date:
  • Size: 9.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for spectroview-26.16.1.tar.gz
Algorithm Hash digest
SHA256 32c6a868ac60f95af57b7d2149b43526f2956945397ff9e37e698be7688ee448
MD5 139b6918be5d5431a581e139c14551a1
BLAKE2b-256 f8854d8d672f8fa2f3da5c82a39c9d1c6006e8b9d33227b34e6fba65d3b5cb57

See more details on using hashes here.

File details

Details for the file spectroview-26.16.1-py3-none-any.whl.

File metadata

  • Download URL: spectroview-26.16.1-py3-none-any.whl
  • Upload date:
  • Size: 9.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for spectroview-26.16.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8fbb954ed18cd39a2d67dc8d58736b92cbe2c433984b2b8991d68b7068373b0a
MD5 348c9395e5d1e2f26ac26e4aeffa6a68
BLAKE2b-256 0d91c5302249f9b60412a678eef38c1c1ee32c6c430050c7f148f713b792e014

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