{"id":15036698,"url":"https://github.com/apple/ml-symphony","last_synced_at":"2025-10-19T22:32:26.713Z","repository":{"id":187301799,"uuid":"672069397","full_name":"apple/ml-symphony","owner":"apple","description":"Symphony: Interactive Data Widgets (CHI 2022)","archived":false,"fork":false,"pushed_at":"2023-08-11T19:35:44.000Z","size":25857,"stargazers_count":62,"open_issues_count":0,"forks_count":5,"subscribers_count":10,"default_branch":"main","last_synced_at":"2025-01-28T08:07:51.757Z","etag":null,"topics":["computational-notebooks","data-science","data-visualization","machine-learning"],"latest_commit_sha":null,"homepage":"https://apple.github.io/ml-symphony/","language":"Svelte","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/apple.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2023-07-28T20:57:24.000Z","updated_at":"2024-12-26T23:21:29.000Z","dependencies_parsed_at":"2023-08-09T20:25:44.654Z","dependency_job_id":null,"html_url":"https://github.com/apple/ml-symphony","commit_stats":null,"previous_names":["apple/ml-symphony"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apple%2Fml-symphony","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apple%2Fml-symphony/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apple%2Fml-symphony/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/apple%2Fml-symphony/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/apple","download_url":"https://codeload.github.com/apple/ml-symphony/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":237224855,"owners_count":19275095,"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":["computational-notebooks","data-science","data-visualization","machine-learning"],"created_at":"2024-09-24T20:31:58.411Z","updated_at":"2025-10-19T22:32:24.534Z","avatar_url":"https://github.com/apple.png","language":"Svelte","readme":"# Symphony: Composing Interactive Interfaces for Machine Learning\n\nSymphony is a framework for composing interactive machine learning interfaces with task-specific, data-driven components that can be used across platforms such as computational notebooks and web dashboards. See Symphony's [documentation](https://apple.github.io/ml-symphony/) for more information.\n\n![](./assets/symphony.png)\n\nThis code accompanies the research paper:\n\n**[Symphony: Composing Interactive Interfaces for Machine Learning](https://machinelearning.apple.com/research/composing-interactive-interfaces)**  \nAlex Bäuerle*, Ángel Alexander Cabrera*, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz  \n*ACM Conference on Human Factors in Computing Systems (CHI), 2022.*  \n[Paper][paper], [Code][code], [Preview][preview], [Video][video] \\*Contributed equally\n\n## Documentation\n\nThis repository consists of three main parts:\n\n- [`symphony_ui`](./symphony_ui/): The main Symphony project, containing the framework.\n- [`symphony_lib`](./symphony_lib/): A library that is used by both the framework and components to share common code.\n- [`widgets`](./widgets/): Widgets that we provide as components and extensions to the project.\n\nTo install Symphony, run:\n\n```bash\npip install symphony_ui\n```\n\nYou can then install individual components, for example:\n\n```bash\npip install symphony_summary\n```\n\nOptionally, you can install [all available components](https://apple.github.io/ml-symphony/components) with:\n\n```bash\npip install \"symphony_ui[widgets]\"\n```\n\nSymphony works great with [DNIKit](https://github.com/apple/dnikit).\nYou can use DNIKit to generate analysis data for Symphony, for example for the Familiarity and Duplicates components.\nIf you want to run the precomputed Symphony example that uses DNIKit, run:\n\n```bash\npip install \"symphony_ui[examples]\"\n```\n\nFor information on how to use or contribute to Symphony, [see the documentation](https://apple.github.io/ml-symphony/).\n\n## Contributing\n\nWhen making contributions, refer to the [`CONTRIBUTING`](CONTRIBUTING.md) guidelines and read the [`CODE OF CONDUCT`](CODE_OF_CONDUCT.md).\n\n## BibTeX\n\nTo cite our paper, please use:\n\n```bibtex\n@inproceedings{bauerle2022symphony,\n  title={Symphony: Composing Interactive Interfaces for Machine Learning},\n  author={Bäuerle, Alex and Cabrera, Ángel Alexander and Hohman, Fred and Maher, Megan and Koski, David and Suau, Xavier and Barik, Titus and Moritz, Dominik},\n  booktitle={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems},\n  year={2022},\n  organization={ACM},\n  doi={10.1145/3491102.3502102}\n}\n```\n\n## License\n\nThis code is released under the [`LICENSE`](LICENSE) terms.\n\n[paper]: https://arxiv.org/abs/2202.08946\n[code]: https://github.com/apple/ml-symphony/\n[preview]: https://www.youtube.com/watch?v=Wf-YRBsI-wA\n[video]: https://www.youtube.com/watch?v=0Q3wIh3AiPs","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapple%2Fml-symphony","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fapple%2Fml-symphony","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fapple%2Fml-symphony/lists"}