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Fourier Python Packages

Python packages with the GitHub topic fourier. Sorted by relevance, with stars and monthly downloads.
cokelaer
spectrum

Spectral Analysis in Python

28K 372 92
meinardmueller
libfmp

libfmp - Python package for teaching and learning Fundamentals of Music Processing (FMP)

13K 224 20
Eomys
scidatatool

Scientific Data Tool

5K 26 24
TCDSolar
xrayvisim

XRAYVISION is an open-source Python library for Fourier or synthesis imaging of X-Rays.

788 6 9
spectralDNS
shenfun

High performance computational platform in Python for the spectral Galerkin method

778 231 45
jurihock
sdft

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

756 39 6
bicv
slip

a Simple Library for Image Processing

730 4 3
dkazanc
tomobar

TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software

643 53 16
marcpartensky
fourier-drawing

Fourier series visualizer - real-time epicycle simulation reconstructing arbitrary drawings via DFT coefficients

452 17 5
MPoL-dev
visread

Small tools to help export and process visibilities.

288 1 2
altunenes
scramblery

No description available

228 30 1
pbrus
varana

The software allows to analyze how the stars change their brightness with the time. The analysis of time series bases on the Fourier Transform and reveals shapes of light curves.

171 2 1
operalib
operalib

A python module for learnign with operator-valued kernels

167 22 3
SMALA-comand
fourierwavelet

Fourier and wavelet analysis 👽

129 4 0
tomasjuanlink
frequenpy

High-precision physics engine dedicated to the study of standing waves and visualization of its normal modes.

122 9 0
michaelbuehlmann
catana

A library for Spherical Fourier Bessel (SFB) Decomposition

116 5 1
jvdoorn
specc

No description available

107 2 1
basics-lab
qsft

Efficiently computing sparse Fourier transforms of functions

106 3 0
nschloe
epicycler

Create epicycle animations.

93 16 3
michelerenzullo
gaussianblur

LibGaussianBlur is a C++ and Py library designed to apply Gaussian blur to images using the Fast Fourier Transform (FFT)

93 5 0
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