macOS
brew install fftwlocal Homebrew formula metadata
sudo port install fftwMacPorts ports tree · math/fftw/Portfile · 来源: api.github.com
安装
brew install fftwlocal Homebrew formula metadata
sudo port install fftwMacPorts ports tree · math/fftw/Portfile · 来源: api.github.com
sudo apk add fftwAlpine Linux edge package indexes · fftw · 来源: dl-cdn.alpinelinux.org
sudo dnf install fftwFedora Rawhide package metadata · fftw · 来源: dl.fedoraproject.org
nix profile install nixpkgs#fftwnixpkgs package indexes · pkgs/by-name/ff/fftw/package.nix · 来源: api.github.com
sudo pacman -S fftwArch Linux sync databases · fftw · 来源: geo.mirror.pkgbuild.com
sudo apt install fftw-devDebian stable package indexes · fftw-dev · 来源: deb.debian.org
概览
C routines to compute the Discrete Fourier Transform
历史
FFTW, the Fastest Fourier Transform in the West, is a C library for discrete Fourier transforms of complex, real, multidimensional, and special symmetric data. It is one of the classic free-software numerical libraries because it combines a stable C API with runtime planning that adapts transform algorithms to the host machine.
FFTW was developed at MIT by Matteo Frigo and Steven G. Johnson. The official site frames its goal as a portable free FFT library that can compete with vendor-tuned codes while remaining usable across architectures without application changes.
The early public release line began with FFTW 1.0 in March 1997. The 1998 ICASSP paper described FFTW as an adaptive software architecture for FFTs, and the 1999 PLDI paper described the codelet generator behind its fast generated kernels.
FFTW 3.0 arrived in April 2003 with an API incompatible with FFTW 2.x, trading compatibility for performance and generality. The current manual documents the 3.x planner model: create a plan once, reuse it for repeated transforms, and optionally save planning knowledge as wisdom.
The FFTW3 design paper appeared in Proceedings of the IEEE in 2005 and remains the preferred general reference named by the project. Later 3.3 releases added modern CPU and parallel features, including AVX, ARM Neon, MPI, Fortran 2003 interfaces, AVX2, AVX512, VSX, SVE, LoongArch SIMD, and additional cycle counters.
FFTW is distributed by mainstream Unix package managers, including Homebrew, Debian/Ubuntu, Fedora, Arch, MacPorts, Nix, and Alpine according to the package facts in this batch. Its availability in both operating-system packages and source builds reflects its role as a common dependency for scientific, signal-processing, audio, imaging, and simulation software.
The project also maintains benchFFT results and positions FFTW against other public FFT implementations and vendor libraries. That benchmark culture helped make FFTW a default comparison point for package maintainers deciding whether a package should use a system FFT library or a bundled implementation.
Library users link against FFTW and create plans for one-dimensional, multidimensional, real, complex, DCT/DST, or Hartley transforms. The manual describes basic, advanced, and guru interfaces, with the basic interface intended for most users and guru interfaces for custom layouts and strides.
The Homebrew package also installs command-line utilities such as `fftw-wisdom`, `fftw-wisdom-to-conf`, and precision-specific wisdom helpers. These are package-visible tools around FFTW's planning cache rather than the main reason most software depends on the library.
FFTW matters to package nerds because it sits at the intersection of ABI policy, CPU feature selection, license policy, and performance tuning. Distribution maintainers must choose which SIMD variants to enable, whether to build thread and MPI variants, and how to expose the GPL library to downstream packages.
It is also a canonical example of a library whose best behavior depends on installation choices and local hardware. The upstream release notes even warn distribution maintainers that enabling every SIMD option can increase planning time for little general-purpose benefit.
安全态势
narrow executable package without higher-risk signals.
绿色 风险 · 低 置信度 · appliance
在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。
可执行文件
| 命令 | 类型 | 暴露范围 | 备注 |
|---|---|---|---|
fftw-wisdom | cli | 全局可执行文件 | |
fftw-wisdom-to-conf | cli | 全局可执行文件 | |
fftwf-wisdom | cli | 全局可执行文件 | |
fftwl-wisdom | cli | 全局可执行文件 |
新鲜度
这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。
安装元数据
| 软件包键 | brew:fftw |
|---|---|
| 版本 | 3.3.11 |
| 软件包管理器 | Homebrew |
| 软件包管理器页面 | https://formulae.brew.sh/formula/fftw |
| 主页 | https://fftw.org |
| 仓库 | https://github.com/FFTW/fftw3 |
| 上游文档 | https://www.fftw.org/doc |
| 许可证 | GPL-2.0-or-later AND BSD-2-Clause |
| 源码归档 | https://fftw.org/fftw-3.3.11.tar.gz |
| 最后更新 | 2026-04-22T13:49:43Z |
| Pulse | updated |
| 依赖 | libomp |
| 构建依赖 | open-mpi |
| Bottle | 可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | 未定义 |
| 服务 | 未声明 |
注册表事实
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | fftw |
| Version Scheme | 0 |
| Revision | 0 |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
源数据库匹配
匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。
fftw-dev 2.1.5-7+b1
library for computing Fast Fourier Transforms
sudo apt install fftw-devfftw-docs 2.1.5-7
documentation for fftw
sudo apt install fftw-docsfftw2 2.1.5-7+b1
library for computing Fast Fourier Transforms
sudo apt install fftw2sfftw-dev 2.1.5-7+b1
library for computing Fast Fourier Transforms
sudo apt install sfftw-devsfftw2 2.1.5-7+b1
library for computing Fast Fourier Transforms
sudo apt install sfftw2fftw
nix profile install nixpkgs#fftwfftw-dev 2.1.5-6build2
library for computing Fast Fourier Transforms
sudo apt install fftw-devfftw-docs 2.1.5-6build2
documentation for fftw
sudo apt install fftw-docsfftw2 2.1.5-6build2
library for computing Fast Fourier Transforms
sudo apt install fftw2sfftw-dev 2.1.5-6build2
library for computing Fast Fourier Transforms
sudo apt install sfftw-devsfftw2 2.1.5-6build2
library for computing Fast Fourier Transforms
sudo apt install sfftw2fftw 3.3.11-r0
Discrete Fourier transform (DFT) library
sudo apk add fftwfftw-dev 3.3.11-r0
Discrete Fourier transform (DFT) library (development files)
sudo apk add fftw-devfftw-doc 3.3.11-r0
Discrete Fourier transform (DFT) library (documentation)
sudo apk add fftw-docfftw-double-libs 3.3.11-r0
Discrete Fourier transform (DFT) library
sudo apk add fftw-double-libsfftw-long-double-libs 3.3.11-r0
Discrete Fourier transform (DFT) library
sudo apk add fftw-long-double-libs来源线索
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View the package source record on GitHub.