{"id":13406093,"url":"https://github.com/marcellejs/marcelle","last_synced_at":"2025-03-14T10:32:33.319Z","repository":{"id":41100508,"uuid":"275164289","full_name":"marcellejs/marcelle","owner":"marcellejs","description":"An Interactive Machine Learning Toolkit","archived":false,"fork":false,"pushed_at":"2024-09-17T14:10:49.000Z","size":36466,"stargazers_count":44,"open_issues_count":5,"forks_count":7,"subscribers_count":5,"default_branch":"main","last_synced_at":"2024-09-18T10:53:01.823Z","etag":null,"topics":["interactive-machine-learning"],"latest_commit_sha":null,"homepage":"https://marcelle.dev","language":"TypeScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/marcellejs.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":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-06-26T13:37:00.000Z","updated_at":"2024-08-15T23:29:08.000Z","dependencies_parsed_at":"2024-03-25T15:17:21.641Z","dependency_job_id":"7fc6ef23-3ea5-4dfb-be9c-8500aec6cb02","html_url":"https://github.com/marcellejs/marcelle","commit_stats":{"total_commits":543,"total_committers":5,"mean_commits":108.6,"dds":0.06998158379373853,"last_synced_commit":"c6eb40e257751e0c42c6985455da894f6e473997"},"previous_names":[],"tags_count":23,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marcellejs%2Fmarcelle","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marcellejs%2Fmarcelle/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marcellejs%2Fmarcelle/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marcellejs%2Fmarcelle/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/marcellejs","download_url":"https://codeload.github.com/marcellejs/marcelle/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":221458321,"owners_count":16825292,"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":["interactive-machine-learning"],"created_at":"2024-07-30T19:02:20.708Z","updated_at":"2025-03-14T10:32:33.312Z","avatar_url":"https://github.com/marcellejs.png","language":"TypeScript","readme":"\u003ch2 align=\"center\"\u003eMarcelle\u003c/h2\u003e\n\n\u003cp align=\"center\"\u003eAn Interactive Machine Learning Toolkit\u003c/p\u003e\n\u003cp align=\"center\"\u003e\u003ca href=\"https://marcelle.dev\" target=\"_blank\"\u003ehttps://marcelle.dev\u003c/a\u003e\u003c/p\u003e\n\u003cdiv align=\"center\"\u003e\n\n[![Status](https://img.shields.io/badge/status-active-success.svg)]()\n[![License](https://img.shields.io/badge/license-MIT-blue.svg)](/LICENSE)\n[![npm version](https://img.shields.io/npm/v/@marcellejs/core)]()\n\n\u003c/div\u003e\n\n## Status ⚠️\n\nMarcelle is still experimental and is currently under active development. Breaking changes are expected at every minor version.\n\n## About\n\nMarcelle is a modular open source toolkit for programming interactive machine learning applications. Marcelle is built around components embedding computation and interaction that can be composed to form reactive machine learning pipelines and custom user interfaces. This architecture enables rapid prototyping and extension. Marcelle can be used to build interfaces to Python scripts, and it provides flexible data stores to facilitate collaboration between machine learning experts, designers and end users.\n\n## Getting started\n\n[See online documentation](https://marcelle.dev/guide/)\n\n```bash\nnpm init marcelle marcelle-tutorial\ncd marcelle-tutorial\nnpm install\nnpm run dev -- --open\n```\n\n## Usage\n\nSee [Online Documentation](https://marcelle.dev)\n\n## Contributing\n\nSee [CONTRIBUTING.md](./CONTRIBUTING.md)\n\n## ✍️ Credits\n\nMarcelle is a research project led by [Jules Françoise](https://www.julesfrancoise.com/) (CNRS researcher at [LISN](https://www.lisn.upsaclay.fr/)) and [Baptiste Caramiaux](https://baptistecaramiaux.com/) (CNRS researcher at [ISIR](https://hci.isir.upmc.fr/)).\n\nThis research was supported by the [ELEMENT project](https://element-project.ircam.fr/) (ANR-18-CE33-0002) from the French National Research Agency.\n\n### Authors\n\n- [Jules Françoise](https://www.julesfrancoise.com/) (CNRS researcher at [LISN](https://www.lisn.upsaclay.fr/))\n- [Baptiste Caramiaux](https://baptistecaramiaux.com/) (CNRS researcher at [ISIR](https://hci.isir.upmc.fr/)).\n- [Téo Sanchez](https://teo-sanchez.github.io/) (PhD Student at [LISN](https://www.lisn.upsaclay.fr/))\n\n### Citing this work\n\nPlease cite the following publication when refering to Marcelle in academic publications:\n\n\u003e Jules Françoise, Baptiste Caramiaux, Téo Sanchez. **Marcelle: Composing Interactive Machine Learning Workflows and Interfaces.** Annual ACM Symposium on User Interface Software and Technology (UIST ’21), Oct 2021, Virtual. DOI: [10.1145/3472749.3474734](https://doi.org/10.1145/3472749.3474734).\u003cbr\u003e \u003e [PDF](https://hal.archives-ouvertes.fr/hal-03335115/document)\n\n### Supporting institutions\n\n- [CNRS](https://www.cnrs.fr)\n- [Université Paris Saclay](https://www.universite-paris-saclay.fr/)\n- [Sorbonne Université](https://www.sorbonne-universite.fr/)\n- [Inria](https://www.inria.fr/)\n\n## 🔨 Built Using\n\n- [TypeScript](https://www.typescriptlang.org/)\n- [Most](https://github.com/mostjs/core)\n- [Svelte](https://svelte.dev/)\n- [Tailwind CSS](https://tailwindcss.com/)\n- [Tensorflow.js](https://js.tensorflow.org/)\n- [Chartjs](https://www.chartjs.org/)\n- And more...\n\n## 🎉 Acknowledgements\n\n- [Teachable Machine](https://teachablemachine.withgoogle.com/)\n- [Wekinator](http://www.wekinator.org/)\n","funding_links":[],"categories":["TypeScript"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarcellejs%2Fmarcelle","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmarcellejs%2Fmarcelle","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarcellejs%2Fmarcelle/lists"}