https://github.com/charlesll/spectra.jl

Spectra.jl aims at helping treatment of spectral (Raman, Infrared, XAS, NMR) data under the Julia language
https://github.com/charlesll/spectra.jl

baseline julia raman spectra spectroscopy

Last synced: about 1 month ago
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Spectra.jl aims at helping treatment of spectral (Raman, Infrared, XAS, NMR) data under the Julia language

• Host: GitHub
• URL: https://github.com/charlesll/spectra.jl
• Owner: charlesll
• License: other
• Created: 2016-02-23T05:10:43.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2024-04-04T08:29:21.000Z (9 months ago)
• Last Synced: 2024-10-03T05:05:52.288Z (3 months ago)
• Topics: baseline, julia, raman, spectra, spectroscopy
• Language: Julia
• Homepage:
• Size: 62.8 MB
• Stars: 32
• Watchers: 5
• Forks: 11
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md
  • Citation: CITATION.bib

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README

        
# Spectra.jl

Copyright (c) 2016-2024 Dr. Charles Le Losq

email: [email protected]

[![DOI](https://zenodo.org/badge/doi/10.5281/zenodo.53940.svg)](http://doi.org/10.5281/zenodo.635346)

Spectra.jl is a package aimed at helping spectroscopic (Raman, Infrared, Nuclear Magnetic Resonance, XAS...) data treatment under Julia. Spectra.jl aim is to provide a simplest way to perform actions like baseline fitting and removal, or peak fitting for instance, while respecting the freedom offered by data treatment through using a computer code instead of a Graphic User Interface.

# Documentation

[![](https://img.shields.io/badge/docs-latest-blue.svg)](https://charlesll.github.io/Spectra.jl/latest) [![](https://img.shields.io/badge/docs-stable-blue.svg)](https://charlesll.github.io/Spectra.jl/stable)

# News

See the NEWS.md

# Installation

In Julia 1.0 and later, use the `pkg` environment (key `]`), then directly run `add Spectra`.

*If you don't already have PyCall installed, or are getting errors with regards to Spectra not being able to find rampy, run the following:

```

pkg] add PyCall

julia> using PyCall

julia> @pyimport pip

julia> pip.main(["install","rampy"])

```

# Examples

See the examples notebooks in the ./examples/ folder for usage examples.

# Licence

see LICENCE.md

# Citation

If you happen to use Spectra in your work, please cite as:

LE LOSQ, Charles. (2016, June 1). Spectra.jl: a Julia package for processing spectroscopic data. Zenodo. http://doi.org/10.5281/zenodo.635346