{"data":{"slug":"run-llama-llama-hub","name":"llama-hub","tagline":"A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain","github_url":"https://github.com/run-llama/llama-hub","owner":"run-llama","repo":"llama-hub","owner_avatar_url":"https://avatars.githubusercontent.com/u/130722866?v=4","primary_language":"Jupyter Notebook","stars":3473,"forks":719,"topics":[],"archived":true,"github_pushed_at":"2024-03-01T15:17:16+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/run-llama-llama-hub","markdown_url":"https://www.graphcanon.com/tools/run-llama-llama-hub.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/run-llama-llama-hub","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=run-llama-llama-hub","description":"A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain","homepage_url":"https://llamahub.ai/","license":"MIT","open_issues":96,"watchers":3,"ai_summary":null,"readme_excerpt":"### Installation\n```\npip install llama-hub\n```\n\n---\n\n# download and install dependencies\nLlavaCompletionPack = download_llama_pack(\n  \"LlavaCompletionPack\", \"./llava_pack\"\n)\n```\n\n---\n\n# download and install dependencies for benchmark dataset\nrag_dataset, documents = download_llama_dataset(\n  \"PaulGrahamEssayDataset\", \"./data\"\n)\n\n---\n\n### Step 0: Setup virtual environment, install Poetry and dependencies\n\nCreate a new Python virtual environment. The command below creates an environment in `.venv`,\nand activates it:\n```bash\npython -m venv .venv\nsource .venv/bin/activate\n```\n\nif you are in windows, use the following to activate your virtual environment:\n\n```bash\n.venv\\scripts\\activate\n```\n\nInstall poetry:\n\n```bash\npip install poetry\n```\n\nInstall the required dependencies (this will also install `llama_index`):\n\n```bash\npoetry install\n```\n\nThis will create an editable install of `llama-hub` in your venv.","github_created_at":"2023-02-01T05:25:29+00:00","created_at":"2026-07-11T10:44:15.278968+00:00","updated_at":"2026-07-11T10:44:19.632728+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":"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":"jupyter-notebook","name":"jupyter notebook"}],"trust":{"provenance":{"is_fork":false,"github_id":595934487,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T10:44:15.927Z","maintenance":{"label":"Archived","score":8,"methodology":"github_public_v1","releases_90d":0,"days_since_push":861,"last_release_at":null},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":121,"high_count":0,"last_scan_at":"2026-07-11T10:44:16.779Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T10:44:16.352Z"},"languages":{"value":["jupyter notebook","python"],"source":"github.language+pyproject.toml","observed_at":"2026-07-11T10:44:16.352Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-07-11T10:44:16.352Z"}}}}