{"id":16654488,"url":"https://github.com/dharness/sqwak-app","last_synced_at":"2025-06-14T04:06:01.600Z","repository":{"id":86353304,"uuid":"78694997","full_name":"dharness/sqwak-app","owner":"dharness","description":"Audio classifying service","archived":false,"fork":false,"pushed_at":"2023-07-31T19:30:06.000Z","size":119897,"stargazers_count":5,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-06-14T04:02:55.312Z","etag":null,"topics":["audio-classification","machine-learning"],"latest_commit_sha":null,"homepage":null,"language":"JavaScript","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/dharness.png","metadata":{"files":{"readme":"README/screenshot_app_view.png","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":"2017-01-12T01:09:57.000Z","updated_at":"2023-07-18T15:49:37.000Z","dependencies_parsed_at":"2025-02-15T12:41:37.812Z","dependency_job_id":null,"html_url":"https://github.com/dharness/sqwak-app","commit_stats":null,"previous_names":["dharness/sqwak-app"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dharness/sqwak-app","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dharness%2Fsqwak-app","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dharness%2Fsqwak-app/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dharness%2Fsqwak-app/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dharness%2Fsqwak-app/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dharness","download_url":"https://codeload.github.com/dharness/sqwak-app/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dharness%2Fsqwak-app/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259756873,"owners_count":22906677,"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":["audio-classification","machine-learning"],"created_at":"2024-10-12T09:50:08.069Z","updated_at":"2025-06-14T04:06:00.487Z","avatar_url":"https://github.com/dharness.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Sqwak\n\n\u003cdiv style=\"display: flex; flex-direction: column;\"\u003e\n  \u003cp\u003e\n    Sqwak allows users to train and deploy custom audio-models from a web browser. No coding needed, just upload your audio files and deploy!\n  \u003c/p\u003e\n\u003c/div\u003e\n\n## [Demo Video](https://vimeo.com/850298237)\n\n[![Watch the video](README/video-poster.png)](https://vimeo.com/850298237)\n\n### Description\n\nSqwak lets you create an audio classifier without writing any code!\nTo train your classifier, create some bins (such as 'clanking' 'quacking' and 'rock music') and upload your music into the appropriate bin.\nAfter that, click the train button and voila, your classifier is now available at an api endpoint.\nYou can now POST to that endpoint with completely new sounds your classifier has never seen before, and it'll attempt to label it.\n\u003cbr/\u003e\n\n### Screenshots\n\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\n      \u003cimg src=\"README/video-poster.png\" alt=\"Video Poster\"\u003e\n      \u003cp align=\"center\"\u003eVideo Poster\u003c/p\u003e\n    \u003c/td\u003e\n    \u003ctd\u003e\n      \u003cimg src=\"README/screenshot_app_view.png\" alt=\"App View\"\u003e\n      \u003cp align=\"center\"\u003eApp View\u003c/p\u003e\n    \u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\n      \u003cimg src=\"README/screenshot_upload_files.png\" alt=\"Upload Files\"\u003e\n      \u003cp align=\"center\"\u003eUpload Files\u003c/p\u003e\n    \u003c/td\u003e\n    \u003ctd\u003e\n      \u003cimg src=\"README/screenshot_train_model.png\" alt=\"Train Model\"\u003e\n      \u003cp align=\"center\"\u003eTrain Model\u003c/p\u003e\n    \u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd\u003e\n      \u003cimg src=\"README/screenshot_predict.png\" alt=\"Predict\"\u003e\n      \u003cp align=\"center\"\u003ePredict\u003c/p\u003e\n    \u003c/td\u003e\n    \u003ctd\u003e\n      \u003cimg src=\"README/screenshot_publish.png\" alt=\"Publish\"\u003e\n      \u003cp align=\"center\"\u003ePublish\u003c/p\u003e\n    \u003c/td\u003e\n  \u003c/tr\u003e\n\u003c/table\u003e\n\n### How it Works\n\n1. Create a class you want to detect (example: a dog barking)\n2. Upload audio files of that sound\n3. Click \"Train\" and Sqwak handles all the audio parsing and training for you.\n4. Publish your model to an API endpoint with 1 click.\n5. Access your personal endpoint from your product to classify new audio files!\n\n### Local Development\n\n```\nyarn install\nyarn start\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdharness%2Fsqwak-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdharness%2Fsqwak-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdharness%2Fsqwak-app/lists"}