Hi, I have started to create a testing site for fftpack and here are some preliminary benchmark results: Fast Fourier Transform ================================== size |fftpack2 | FFT | scipy | fftw2 100 | 1.55 | 1.07 | 1.65 | 0.42 (secs for 7000 calls) 1000 | 1.77 | 1.82 | 3.01 | 0.65 (secs for 2000 calls) 512 | 3.97 | 4.56 | 3.20 | 1.50 (secs for 10000 calls) 2048 | 1.30 | 1.82 | 1.26 | 0.68 (secs for 1000 calls) 8192 | 5.65 | 6.61 | 5.68 | 2.39 (secs for 500 calls) fftpack2 refers to f2py'd version of fftpack FFT refers to fftpack (f2c version of fftpack) shipped with Numeric scipy refers to scipy.fftpack fftw2 refers to quickly-put-together interface to FFTW All tests are carried out on complex 1D contiguous data. All fft routines pass correctness check (i.e. they all return the same result). Notes: * Timings for fftpack2 and scipy fluctuate strongly. In average, their performance is the same. * fftpack2/scipy perform better than FFT for large data sets. * FFTW beats them all (which makes more sense than my earlier tests). Pearu