Scientific analysis of nanoscale materials imaging data

Python software for spectral data processing (IR, Raman, XAS...)

SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python

A Python library of algorithms for the baseline correction of experimental data.

🌈 A collaborative list of awesome tools for spectroscopy. Also, check:

R functions for the chemometric analysis of spectra

Perform baseline removal, baseline correction and baseline substraction for raman spectra using Modpoly, ImodPoly and Zhang fit. Returns baseline-subtracted spectrum. Please give proper citation as specified in the documentation if it has helped you.

Python library for reading and writing scientific data format

Deep CNN for Raman Applications

Python package for read-only accessing the wdf Raman spectroscopy from Ranishaw WiRE software

A peak-fitting tool based on MATLAB for spectroscopic data analysis.

Spectra.jl aims at helping treatment of spectral (Raman, Infrared, XAS, NMR) data under the Julia language

Luminescence data analysis with HyperSpy.

Repository containing code for analysis of Raman and IR spectra datasets

Baseline correction, smoothing, processing and plotting of Raman spectra

A Python framework for the batch processing and deconvolution of Raman spectra of carbonaceous materials.

specio: Python input/output for spectroscopic files

CRIKit2 is a hyperspectral imaging toolkit formerly known as the coherent Raman imaging toolkit.

FOSS Resources for Spectroscopy

hyperSpec: Tools for Spectroscopy (R package)