{"id":18793586,"url":"https://github.com/kfrlib/fft","last_synced_at":"2025-04-13T14:32:15.200Z","repository":{"id":112868848,"uuid":"63117869","full_name":"kfrlib/fft","owner":"kfrlib","description":"FFT (Fast Fourier Transform): SSE, AVX, AVX2","archived":true,"fork":false,"pushed_at":"2016-07-20T17:55:54.000Z","size":269,"stargazers_count":50,"open_issues_count":0,"forks_count":8,"subscribers_count":9,"default_branch":"master","last_synced_at":"2025-03-05T16:36:43.465Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://www.kfrlib.com","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kfrlib.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2016-07-12T02:12:49.000Z","updated_at":"2025-03-03T12:35:34.000Z","dependencies_parsed_at":null,"dependency_job_id":"7f2b8287-7636-41b9-ac7a-3615de72d4a3","html_url":"https://github.com/kfrlib/fft","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kfrlib%2Ffft","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kfrlib%2Ffft/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kfrlib%2Ffft/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kfrlib%2Ffft/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kfrlib","download_url":"https://codeload.github.com/kfrlib/fft/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248728125,"owners_count":21152162,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-07T21:25:54.791Z","updated_at":"2025-04-13T14:32:15.185Z","avatar_url":"https://github.com/kfrlib.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# kfr-fft\nHighly optimized FFT\n\nKFR is a fast, modern C++ DSP framework, DFT/FFT, Audio resampling, FIR/IIR Filtering, Biquad, vector functions (SSE, AVX)\n\n## Features\n\n* FFT is optimized for SSE2, SSE3, SSE4.x, AVX and AVX2 processors\n* Both double and single precision\n\n## Performace\n\nFFT (double precision, sizes from 1024 to 16777216)\nSee [fft benchmark](https://github.com/kfrlib/fft-benchmark) for details about benchmarking process.\n\n![FFT Performance](img/fft_performance.png)\n\n## Prerequisities\n\n* macOS: XCode 6.3, 6.4, 7.x, 8.x\n* Windows: MinGW 5.2 and Clang 3.7 or newer\n* Ubuntu: GCC 5.1 and Clang 3.7 or newer\n* CoMeta metaprogramming library (already included)\n\n## Tests\n\nExecute `build.py` to run the tests or run tests manually from the `tests` directory\n\nTested on the following systems:\n\n* OS X 10.11.4 / AppleClang 7.3.0.7030031\n* Ubuntu 14.04 / gcc-5 (Ubuntu 5.3.0-3ubuntu1~14.04) 5.3.0 20151204 / clang version 3.8.0 (tags/RELEASE_380/final)\n* Windows 8.1 / MinGW-W64 / clang version 3.8.0 (branches/release_38)\n\n## Planned for future versions\n\n* DFT for any lengths (not only powers of two)\n\n## License\n\nKFR is dual-licensed, available under both commercial and open-source GPL license.\n\nIf you want to use KFR in commercial product or a closed-source project, you need to [purchase a Commercial License](http://kfrlib.com/purchase-license)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkfrlib%2Ffft","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkfrlib%2Ffft","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkfrlib%2Ffft/lists"}