Spectrum Python Packages

matchering

🎚️ Open Source Audio Matching and Mastering

lspopt

Python implementation of a multitaper window method for estimating Wigner spectra for certain locally stationary processes

scidatatool

Scientific Data Tool

mrsimulator

A fast solid-state NMR spectrum simulation and analysis library.

fitspy

Generic tool dedicated to fit spectra in python

zxbasic

The Sinclair ZX Spectrum BASIC compiler!

flask-colorpicker

A Flask extension for Spectrum javascript color picker

nmrsim

A library for simulating nuclear magnetic resonance (NMR) spectra.

sdss

A python package for retrieving and analysing data from SDSS (Sloan Digital Sky Survey)

mel-cepstral-distance

A Python library for computing the Mel-Cepstral Distance (Mel-Cepstral Distortion, MCD) between two inputs. This implementation is based on the method proposed by Robert F. Kubichek in "Mel-Cepstral Distance Measure for Objective Speech Quality Assessment".

spectrum-client

Broadcom CA Spectrum Web Services API wrapper

zx

ZX Spectrum emulator in Python and C++

spectrum-plotter

A Python package for creating publication quality plots for neutron / photon / particle spectrum

dosview

Desktop tool for visualisation of UST's xDOS dosimetry records

raman-fitting

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

interferopy

A Python library of common tasks used in the observational radio/mm interferometry data analysis.

seawave-spectrum

No description available

spxtacular

Mass spectrometry spectrum processing library.

pyrssa

Python package for Singular Spectrum Analysis

pyasdreader

The repository offers the latest parser for Malvern Panalytical ASD File Format (*.asd) with Python.

proplib-p2108

Python wrapper for U.S. Reference Software Implementation of Recommendation ITU-R P.2108

ramkit

An analysis kernel for raman spectrum.

spectcube

Resampling spectrums in 1D, 2D or 3D shapes.

interactive-curve-fit

A Python project enables you to fit peaks interactively on GUI. You can visualize your spectrum and fit the optional number of the peaks on GUI using Scipy.optimize.curve_fit method.