Fast, modern C++ DSP framework

KFR is built for developers who need a powerful toolkit for Audio and DSP applications

Get KFR Fork on GitHub

Built by developers for developers


All algorithms are designed and implemented for maximum performance and functionality


KFR includes Fastest Fourier Transform(*) and many more DSP and Audio algorithms


KFR is cross-platform and supports macOS, Linux, Windows, iOS and Android, x86 and ARM cpus


Writing your own algorithms based on KFR framework is easy


Hundreds of millions of tests are executed in order to guarantee accurate and precise results

Open Source

KFR is open source and all the code is available on GitHub


The KFR framework is packed with ready-to-use C++ classes and functions for various DSP tasks from high-quality filtering to small helpers to improve development speed
macOS (Xcode 8.33+) Windows (Visual Studio/MinGW) Linux

  • Convolution
  • High quality Sample Rate Conversion (SRC)
  • EBU R 128 Loudness
  • FIR (Finite Impulse Response) filtering
  • IIR (Infnite Impulse Response) filtering
  • FIR filter design using window method
  • Delay line and fractional delay line
  • Biquad filters and Biquad cascades
  • Biquad design functions
  • Oscillators
  • Window functions
  • Waveshaper
  • Stereo conversion (L/R, M/S)
  • Goertzel algorithm
  • DC Remover
  • Audio file reading/writing
  • Fast incremental sine/cosine generation
  • Pseudorandom number generator
  • Sorting
  • Mathematical and statistical functions
  • A-, B- and C- weighting
  • Template expressions
  • SIMD functions
  • Runtime CPU dispatching
  • All vector lengths are supported
  • Ring (Circular) buffer


Highest possible performance is one of the main goals of the KFR framework.
Accurate benchmark measurements prove that KFR offers high speed implementations of the DSP algorithms

Our Fast Fourier Transform implementation is the fastest FFT according to measurements of the best available FFT libraries

FFT performance (double precision)

Biquad performance (single precision)

FFT benchmark source code

Getting started

 git clone


Download .zip


For more examples, check examples directory

#include <kfr/all.hpp>

using namespace kfr;


univector<complex<float_type>, size> in  = sin(linspace(0.0, c_pi<float_type, 2> * 4.0, size));
univector<complex<float_type>, size> out = scalar(qnan);

// initialize fft
const dft_plan<float_type> dft(size);

// allocate work buffer for fft (if needed)
univector<u8> temp(dft.temp_size);

// perform forward fft
dft.execute(out, in, temp);

// scale output
out = out / size;

// get magnitude and convert to decibels
univector<float_type, size> dB = amp_to_dB(cabs(out));

println("max  = ", max(dB));
println("min  = ", min(dB));
println("mean = ", mean(dB));
println("rms  = ", rms(dB));


KFR is dual-licensed, available under both commercial and open-source GPL 2+ license.
If you want to use KFR in commercial product or a closed-source project, you need to purchase a Commercial License

Purchase a license