Signal Processing Python Packages

pywavelets

PyWavelets - Wavelet Transforms in Python

soxr

Fast and high quality sample-rate conversion library for Python

ruptures

ruptures: change point detection in Python

obspy

ObsPy: A Python Toolbox for seismology/seismological observatories.

pesq

PESQ (Perceptual Evaluation of Speech Quality) Wrapper for Python Users (narrow band and wide band)

antropy

AntroPy: entropy and complexity of (EEG) time-series in Python

neurokit2

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

emd-signal

Python implementation of Empirical Mode Decompoisition (EMD) method

pyriemann

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

pygsp

Graph Signal Processing in Python

pycbc

Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.

meegkit

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python

response

Your handy frequency and impulse response processing object

vmdpy

Variational mode decomposition (VMD) in Python

cogent3

Comparative Genomics Toolkit 3

brainflow

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

wavmark

AI-based Audio Watermarking Tool

spafe

:sound: spafe: Simplified Python Audio Features Extraction

acoustics

A Python library aimed at acousticians.

sigpy

Python package for signal processing, with emphasis on iterative methods

madmom

Python audio and music signal processing library

hypercube-rc

Reservoir computer on a Boolean hypercube graph. Sparse XOR-defined connectivity, streaming mode, C++23 and Python SDKs.

swift-f0

Fast and accurate fundamental frequency (F0) detector using convolutional neural networks

pycwt

A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.