{"id":18754836,"url":"https://github.com/daniel-j/unicorn-fft","last_synced_at":"2025-04-13T00:32:27.667Z","repository":{"id":142938642,"uuid":"53655946","full_name":"daniel-j/unicorn-fft","owner":"daniel-j","description":"Audio visualization on the Unicorn Hat using FFTW","archived":false,"fork":false,"pushed_at":"2017-04-05T14:29:01.000Z","size":7,"stargazers_count":36,"open_issues_count":3,"forks_count":8,"subscribers_count":9,"default_branch":"master","last_synced_at":"2025-03-26T19:04:15.135Z","etag":null,"topics":["fft","fftw","pimoroni","raspberry-pi","unicorn-hat"],"latest_commit_sha":null,"homepage":"","language":"C","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/daniel-j.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2016-03-11T09:33:17.000Z","updated_at":"2024-07-10T08:38:28.000Z","dependencies_parsed_at":"2023-04-21T08:17:19.776Z","dependency_job_id":null,"html_url":"https://github.com/daniel-j/unicorn-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/daniel-j%2Funicorn-fft","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daniel-j%2Funicorn-fft/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daniel-j%2Funicorn-fft/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/daniel-j%2Funicorn-fft/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/daniel-j","download_url":"https://codeload.github.com/daniel-j/unicorn-fft/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248650556,"owners_count":21139670,"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":["fft","fftw","pimoroni","raspberry-pi","unicorn-hat"],"created_at":"2024-11-07T17:30:13.749Z","updated_at":"2025-04-13T00:32:27.660Z","avatar_url":"https://github.com/daniel-j.png","language":"C","funding_links":[],"categories":[],"sub_categories":[],"readme":"# [Unicorn Hat](https://shop.pimoroni.com/products/unicorn-hat) FFT audio visualizer\nIf you're looking for something to use with [PiGlow](https://shop.pimoroni.com/products/piglow), [check this out](https://gist.github.com/daniel-j/f1406e301ab2c38ba53c)! It's all Python!\n\n## Demo!\nClick to watch demo on YouTube\n\n[![YouTube video demo](http://img.youtube.com/vi/g3sxXgLr1uQ/0.jpg)](http://www.youtube.com/watch?v=g3sxXgLr1uQ)\n\n## Install and build\n```\n# Install dependencies\nsudo apt-get update \u0026\u0026 sudo apt-get install libfftw3-dev\n\n# Important to clone recursive to get unicorn-hat lib!\ngit clone --recursive https://github.com/daniel-j/unicorn-fft.git\n\ncd unicorn-fft\n\n# Compile unicorn-fft and unicorn-hat lib. Use just 'make' to build only unicorn-fft\nmake all\n```\nYou can then try the examples `examples/arecord.sh` and `examples/radio.sh`\n\n`unicorn-fft` expects a raw/PCM stream in the format `Signed 16 bit Little Endian, Rate 44100 Hz, Mono`\n\n## Thanks\nThis project uses code from [raspberry-vu](https://github.com/rm-hull/raspberry-vu) which is a fork of [Impulse](https://github.com/ianhalpern/Impulse), which I base my FFTW function calls on.\n\nAlso special thanks to Damien for his guide [FFT Averages](http://code.compartmental.net/2007/03/21/fft-averages/), which makes it all prettier!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaniel-j%2Funicorn-fft","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdaniel-j%2Funicorn-fft","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdaniel-j%2Funicorn-fft/lists"}