{"data":{"slug":"villagecomputing-superpipe","name":"superpipe","tagline":"Optimized LLM pipelines for structured data","github_url":"https://github.com/villagecomputing/superpipe","owner":"villagecomputing","repo":"superpipe","owner_avatar_url":"https://avatars.githubusercontent.com/u/159300425?v=4","primary_language":"Python","stars":108,"forks":2,"topics":["classification","data-extraction","data-labeling","llm","llm-evaluation","llm-optimization","structured-data"],"archived":false,"github_pushed_at":"2024-06-18T15:18:28+00:00","maintenance_label":"Dormant","stars_delta_30d":-1,"url":"https://www.graphcanon.com/tools/villagecomputing-superpipe","markdown_url":"https://www.graphcanon.com/tools/villagecomputing-superpipe.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/villagecomputing-superpipe","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=villagecomputing-superpipe","description":"Superpipe - optimized LLM pipelines for structured data","homepage_url":"https://superpipe.ai","license":null,"open_issues":3,"watchers":1,"ai_summary":"Superpipe provides optimized large language model pipelines designed for handling and processing structured data, including tasks like classification and data extraction.","readme_excerpt":"## Installation\n\nMake sure you have Python 3.10+ installed, then run\n\n```\npip install superpipe-py\n```\n\n---\n\n## License\n\nThis project is licensed under the terms of the MIT License.","github_created_at":"2024-02-07T18:43:58+00:00","created_at":"2026-07-11T12:03:04.726843+00:00","updated_at":"2026-09-20T07:01:46.299236+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":"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"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"classification","name":"classification"},{"slug":"data-extraction","name":"data-extraction"},{"slug":"data-labeling","name":"data-labeling"},{"slug":"llm-optimization","name":"llm-optimization"},{"slug":"structured-data","name":"structured-data"}],"trust":{"provenance":{"is_fork":false,"github_id":754281491,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-20T07:01:44.017Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":823,"last_release_at":"2024-03-25T23:22:49Z","stars_delta_30d":-1,"open_issues_delta_30d":0},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":83,"high_count":0,"last_scan_at":"2026-07-11T12:03:06.316Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-20T07:01:45.063Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-09-20T07:01:45.063Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"Superpipe is free to use under its MIT License for both commercial and non-commercial purposes, supporting a community-driven model with potential premium services or support options."},"requirements":{"notes":["The minimum Python version required is 3.10+, as specified in the installation section."],"min_ram_gb":null},"constraints":{"min_ram_gb":null,"pricing_model":"freemium"},"when_to_use":["When you have specific tasks requiring the processing of structured datasets, such as detailed classification or precise data extraction.","For projects that benefit from high-performance LLM pipelines directly engineered for structured data handling."],"when_not_to_use":["If your project focuses on unstructured data mainly like free-form text analysis without a need for specialized structured-data algorithms.","When the Python version requirement of at least 3.10 is not feasible in your development environment or dependencies."],"source":"enrich:decision_facts","observed_at":"2026-07-16T21:27:57.887Z"},"constraint_facets":{"min_ram_gb":null,"pricing_model":"freemium"},"decision_summary":[{"label":"Pricing","value":"freemium - 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