{"data":{"slug":"huggingface-aisheets","name":"aisheets","tagline":"Build, enrich, and transform datasets using AI models with no code","github_url":"https://github.com/huggingface/aisheets","owner":"huggingface","repo":"aisheets","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"TypeScript","stars":1638,"forks":140,"topics":["ai","llm-evaluation","llms","nocode","oss","synthetic-data"],"archived":false,"github_pushed_at":"2026-05-26T10:33:23+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/huggingface-aisheets","markdown_url":"https://www.graphcanon.com/tools/huggingface-aisheets.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-aisheets","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-aisheets","description":"Build, enrich, and transform datasets using AI models with no code","homepage_url":"https://huggingface.co/spaces/aisheets/sheets","license":"Apache-2.0","open_issues":12,"watchers":15,"ai_summary":"A no-code platform for dataset manipulation utilizing AI models, enabling users to build and enhance datasets seamlessly.","readme_excerpt":"### Using Docker\n\nFirst, get your Hugging Face token from <https://huggingface.co/settings/tokens>\n\n```bash\nexport HF_TOKEN=your_token_here\ndocker run -p 3000:3000 \\\n-e HF_TOKEN=HF_TOKEN \\\naisheets/sheets\n```\n\nOpen `http://localhost:3000` in your browser.","github_created_at":"2025-01-16T16:30:46+00:00","created_at":"2026-07-11T11:59:23.630207+00:00","updated_at":"2026-07-28T12:00:34.5718+00:00","categories":[{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"llm-evaluation","name":"llm-evaluation"},{"slug":"llms","name":"llms"},{"slug":"nocode","name":"nocode"},{"slug":"oss","name":"oss"},{"slug":"synthetic-data","name":"synthetic-data"}],"trust":{"provenance":{"is_fork":false,"github_id":917782991,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-28T12:00:33.480Z","maintenance":{"label":"Steady","score":60,"methodology":"github_public_v1","releases_90d":0,"days_since_push":63,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:59:25.131Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-07-28T12:00:33.937Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-07-28T12:00:33.937Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-07-28T12:00:33.937Z","managed_saas":false},"has_cli":{"value":true,"source":"package.json:bin|scripts","observed_at":"2026-07-28T12:00:33.937Z"},"languages":{"value":["typescript","javascript"],"source":"github.language+package.json","observed_at":"2026-07-28T12:00:33.937Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-07-28T12:00:33.937Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-07-28T12:00:33.937Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"min_ram_gb":null,"requires_docker":false},"constraints":{"min_ram_gb":null,"requires_docker":false},"when_to_use":["Use Aisheets when you need to quickly enrich your datasets using AI capabilities and have no coding experience or preference to avoid coding tasks.","Opt for Aisheets if the project focuses on synthetic-data generation that benefits from an integrated, no-code interface to manage the AI model interactions."],"when_not_to_use":["Avoid Aisheets if you require a highly customizable code-based solution where manual control over data manipulations is essential.","Do not use Aisheets for projects where open-source software limitations may prevent usage due to its Apache-2.0 license, if your project requires a different licensing model."],"source":"enrich:decision_facts","observed_at":"2026-07-17T00:18:43.254Z"},"constraint_facets":{"min_ram_gb":null,"requires_docker":false},"decision_summary":[{"label":"Adopt for","value":"Aisheets is a no-code platform that uses AI models to build and transform datasets, suitable for users looking to manipulate and enhance data with ease without writing any code."},{"label":"License detail","value":"Apache-2.0, which allows free use, modification, and distribution of the software but includes clauses that require preservation of copyright and license notices."}]}}