Spectral Analysis Python Packages

pyshtools

SHTOOLS - Spherical Harmonic Tools

47K 423 107

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.

10K 345 126

yasa

YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.

7K 556 128

napari-chat-assistant

Local AI and deterministic workbench for napari image-analysis workflows

6K 5 1

threeml

The Multi-Mission Maximum Likelihood framework (3ML)

5K 83 67

loristrck

Partial tracking in python, based on Loris

4K 8 2

csoundengine

A python library to control a csound process

4K 15 1

torchrtm

Torch-based Vegetation Radiative Transfer Model library (PROSPECT, SAIL, SMAC)

3K 1 0

mrsimulator

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

3K 45 14

specio-py310

specio: Python input/output for spectroscopic files

3K 0 0

resonators

Rust implementation of the Resonate algorithm for low-latency spectral analysis, with Python and WebAssembly bindings

3K 80 5

audioflux

A library for audio and music analysis, feature extraction.

3K 3K 146

risset

Csound Package Manager

2K 22 0

maelzel

A framework for computer music in python

2K 25 1

fitspy

Generic tool dedicated to fit spectra in python

2K 9 0

siapy

🥷 A Python package for efficient processing of spectral images

1K 113 7

cuvis-ai

Cuvis.AI is an open-source, extensible framework for building modular AI pipelines that process, analyze, and deploy hyperspectral video data in real-time applications.

1K 13 0

pybispectra

A Python signal processing package for computing spectral-domain and time-domain interactions using the bispectrum.

1K 33 7

sdft

Single file forward and inverse Sliding DFT in C, C++ and Python

776 38 6

leymosun

High-Entropy Randomness Research Toolkit. High-Entropy Random Number Generator (HE-RNGs). Generation of random matrices in canonical ensembles. Generating of mixed matrix ensembles via Mixed Matrix Ensemble Sampling (MMES) algorithm. Matrix utilities, spectral analysis, krylov and quantum core, spectral unfolding, nearest-neighbor spacing, mean adjacent gap ratio, analytic expressions from theory and uncertainty quantification.

680 8 0