A header-only C++ library for large scale eigenvalue problems

A Javascript color library. Quickly manipulate and convert colors.

Paradox Magellan, Spectra and EVO, with MQTT, Signal, Pushbullet, Pushover and others

🌱 A fast line-by-line code for high-resolution infrared molecular spectra

R Interface to the Spectra Library for Large Scale Eigenvalue and SVD Problems

esp8266, serial bus to mqtt for Paradox alarm systems

Tools for Flexible Spectroscopic Inference

Proteomics search software with integrated calibration, PTM discovery, bottom-up, top-down and LFQ capabilities

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

Tools for data-driven spectra models with Gaussian processes. Pronounced "soap."

Deep learning for the automated spectral classification of supernovae

Python package for reading Bruker OPUS files.

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

Artificial Neural-Net compression and fitting of synthetic spectral grids.

Shadow President: JAGTAG

Calculate many-body states of an impurity Anderson model and spectra (e.g. XPS, XAS, RIXS, NIXS)

bmep: A Mosfire 2D to 1D Extraction Program

The code stacks the spectra and measures the optical emission line luminosities from the composite spectrum.

eMaTe can estimate the spectral density and trace functions even in matrices or graphs (undirected or directed) with million of nodes. (kernel polynomial method and SLQ)

Library to deal with spectra (IR, UV, ...), 1D NMR as well as 2D NMR

Fast Automated Spectral Extraction Software for IFU Datacubes

Quick way of fetching DESI spectra in Python without logging to NERSC

Plotting and analysis tools for ARTIS, a 3D radiative transfer code for supernovae.

Interactive In-the-browser (and more) examples to calculate spectra with RADIS (HITRAN Online access, etc.)

Spectra prediction software and GUI for anyone to use.

A package for plotting and manipulating 1D spectra

The detection of exolife is one of the most important goals for future space missions. Here we analyse images taken from the moon at the Mt. Stony Brook, to be able to extract the spectra of the Earthsine and detect elements such as water and chlorophyll from Earth. Source code in IDL for data reduction and analysis.

HANDY - Handy tool for spectra normalization

A Python library for NMR simulation (v0.3.0 beta)

Code for the analysis of spectroscopic data