FFTW/fftw3
DO NOT CHECK OUT THESE FILES FROM GITHUB UNLESS YOU KNOW WHAT YOU ARE DOING. (See below.) observed · 2026-08-28
Health v2 · maintenance only
62/100
- Activity 86
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4917
- days_rel: n/a
- days_push: 84
- n_releases_24m: 0
Adoption not part of the score
3102 stars · 716 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
FFTW is a widely used C library for computing discrete Fourier transforms (DFTs), known for its speed and adaptive code generation. This repository is the source generator; most users should download official release tarballs from fftw.org instead.
Use cases
- compute fast fourier transforms in c
- signal processing fft library
- spectral analysis of audio or sensor data
- solve pdes with spectral methods
- fast convolution and correlation
- image frequency-domain filtering
When to choose
- you need a high-performance, well-tested FFT implementation in C/C++
- you need transforms of arbitrary sizes with multi-dimensional support
- you want a mature library with bindings in many languages
When to avoid
- you want to build directly from this GitHub repo - it contains only generated-code generators
- you need GPU-accelerated FFTs (consider cuFFT)
- you need a permissive license - FFTW is GPL-2.0 (commercial licenses available)
Facets
library · maturity stable
math developer-tools performance cross-platform windows cpp c cross-platform fft fourier-transform signal-processing numerical-computing scientific-computing algorithms linux macos
1 source
- readme: https://github.com/FFTW/fftw3 · fetched 2026-08-28 · 40c93160c155
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| FFTW/fftw3 | main | 62 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem