{"data":{"slug":"daviddaytw-react-native-transformers","name":"react-native-transformers","tagline":"Run local LLM from Huggingface in React-Native using onnxruntime with TypeScript","github_url":"https://github.com/daviddaytw/react-native-transformers","owner":"daviddaytw","repo":"react-native-transformers","owner_avatar_url":"https://avatars.githubusercontent.com/u/47077427?v=4","primary_language":"TypeScript","stars":135,"forks":16,"topics":["expo","huggingface","local-llm","onnx","onnxruntime","react-native","transformers"],"archived":false,"github_pushed_at":"2025-07-13T03:56:24+00:00","maintenance_label":"Dormant","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/daviddaytw-react-native-transformers","markdown_url":"https://www.graphcanon.com/tools/daviddaytw-react-native-transformers.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/daviddaytw-react-native-transformers","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=daviddaytw-react-native-transformers","description":"Run local LLM from Huggingface in React-Native or Expo using onnxruntime.","homepage_url":"https://www.npmjs.com/package/react-native-transformers","license":"MIT","open_issues":7,"watchers":3,"ai_summary":"A codebase enabling the execution of Huggingface models locally within React Native environments through ONNX Runtime integration.","readme_excerpt":"### 1. Install peer dependencies\n\n```sh\nnpm install onnxruntime-react-native\n```\n\n---\n\n### 2. Install react-native-transformers\n\n```sh\n\n---\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.","github_created_at":"2024-07-27T06:09:18+00:00","created_at":"2026-07-15T11:02:22.343681+00:00","updated_at":"2026-09-20T05:09:54.535571+00:00","categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"expo","name":"expo"},{"slug":"huggingface","name":"huggingface"},{"slug":"local-llm","name":"local-llm"},{"slug":"onnx","name":"onnx"},{"slug":"onnxruntime","name":"onnxruntime"},{"slug":"react-native","name":"react-native"},{"slug":"transformers","name":"transformers"}],"trust":{"provenance":{"is_fork":false,"github_id":834391792,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-20T05:09:52.045Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":434,"last_release_at":"2025-07-06T03:20:03Z","stars_delta_30d":2,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-15T11:02:23.867Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-09-20T05:09:53.296Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-09-20T05:09:53.296Z"},"languages":{"value":["typescript","javascript"],"source":"github.language+package.json","observed_at":"2026-09-20T05:09:53.296Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-09-20T05:09:53.296Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["If you are developing a React Native application and require local execution of Huggingface LLMs using ONNX Runtime for optimized performance.","When your project involves Expo or standard React Native environments where TypeScript is preferred for type safety."],"when_not_to_use":["For projects not involving React Native or Expo development, as this library provides no direct value outside of these frameworks.","If your application does not require local execution of LLMs from Huggingface and can manage with cloud-based inference services."],"source":"enrich:decision_facts","observed_at":"2026-07-17T10:24:00.850Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"React Native transformers facilitates seamless integration of Huggingface models in React-Native apps using ONNX Runtime with TypeScript support."}]}}