{"data":{"slug":"r2d4-rellm","name":"rellm","tagline":"Exact structure out of any language model completion","github_url":"https://github.com/r2d4/rellm","owner":"r2d4","repo":"rellm","owner_avatar_url":"https://avatars.githubusercontent.com/u/896032?v=4","primary_language":"Python","stars":513,"forks":23,"topics":["huggingface-transformers","llm","transformers"],"archived":false,"github_pushed_at":"2023-08-10T19:42:58+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/r2d4-rellm","markdown_url":"https://www.graphcanon.com/tools/r2d4-rellm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/r2d4-rellm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=r2d4-rellm","description":"Exact structure out of any language model completion.","homepage_url":null,"license":"MIT","open_issues":5,"watchers":9,"ai_summary":"rellm is a tool that ensures structured outputs from language model completions using the Hugging Face Transformers library.","readme_excerpt":null,"github_created_at":"2023-05-05T03:51:56+00:00","created_at":"2026-07-11T10:54:13.158579+00:00","updated_at":"2026-07-12T07:05:29.277118+00:00","categories":[{"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":"huggingface-transformers","name":"huggingface-transformers"},{"slug":"llm","name":"llm"},{"slug":"transformers","name":"transformers"}],"trust":{"provenance":{"is_fork":false,"github_id":636529302,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T10:54:13.766Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":null,"days_since_push":1065,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T10:54:14.491Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-12T07:05:08.441Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-07-12T07:05:08.441Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-07-12T07:05:08.441Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["- When you require precise and exact structure in output data generated from any language model, utilizing rellm can ensure consistency.","- If your application needs to process text through Hugging Face's models and demands that outputs strictly adhere to specific formats, rellm is ideal."],"when_not_to_use":["- Avoid using rellm if you are not working with the Hugging Face Transformers library or do not need structured output formats.","- If your project can tolerate some level of unstructured or less rigidly formatted outputs from language models, other solutions might be more appropriate."],"source":"enrich:decision_facts","observed_at":"2026-07-12T07:05:29.013Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"rellm is a Python tool that guarantees structured outputs from language model completions by leveraging the Hugging Face Transformers library."}]}}