{"data":{"slug":"tigerlab-ai-tiger","name":"tiger","tagline":"Open Source LLM toolkit for trustworthy applications","github_url":"https://github.com/tigerlab-ai/tiger","owner":"tigerlab-ai","repo":"tiger","owner_avatar_url":"https://avatars.githubusercontent.com/u/148816206?v=4","primary_language":"Jupyter Notebook","stars":404,"forks":27,"topics":["ai-safety","aisafety","classification","data-augmentation","fine-tuning","large-language-models","llm","llm-training","rag"],"archived":false,"github_pushed_at":"2023-12-02T10:06:47+00:00","maintenance_label":"Dormant","stars_delta_30d":0,"url":"https://www.graphcanon.com/tools/tigerlab-ai-tiger","markdown_url":"https://www.graphcanon.com/tools/tigerlab-ai-tiger.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tigerlab-ai-tiger","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tigerlab-ai-tiger","description":"Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)","homepage_url":"https://www.tigerlab.ai","license":"Apache-2.0","open_issues":7,"watchers":9,"ai_summary":"Tigerlab-ai/tiger is an open-source project focused on enhancing the reliability and safety of large language model-based applications through tools like TigerArmor (aimed at AI safety), TigerRAG (for embedding and RAG functionalities), and TigerTune (fine-tuning capabilities).","readme_excerpt":"## 💿 Installation\n- **Step 1**. Clone the repo\n   ```sh\n   git clone https://github.com/tigerlab-ai/tiger.git\n    ```\n- **Step 2**. Install TigerRAG\n    - Install all Python requirements\n      \n    ```sh\n    cd tiger/TigerRAG\n    pip install .\n    ```\n    Demo:\n    ```\n    cd demos/movie_recs\n    python demo_ebr.py\n    python demo_rag.py\n    python demo_gar.py\n    ```\n- **Step 3**. Install TigerTune\n    - Install all Python requirements\n    ```sh\n    cd tiger/TigerTune\n    pip install --upgrade -e .\n    ```\n    Demo:\n    ```\n    python examples/classification_example.py \n    python examples/generation_example.py \n    ```\n    CUDA GPU is needed to run generation_example.py. If you don't have a CUDA GPU connected, you can leverage our notebooks in [notebooks/](TigerTune/notebooks/).\n\n- **Step 4**. Install TigerDA\n    - Install all Python requirements\n    ```sh\n    cd tiger/TigerDA\n    pip install --upgrade -e .\n    ```\n    Demo:\n    ```\n    python examples/text_generation_augmenter_example.py \n    ```","github_created_at":"2023-10-23T20:11:15+00:00","created_at":"2026-07-11T11:41:39.950415+00:00","updated_at":"2026-08-24T12:01:10.029699+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":"ai-safety","name":"ai safety"},{"slug":"classification","name":"classification"},{"slug":"data-augmentation","name":"data-augmentation"},{"slug":"fine-tuning","name":"fine-tuning"},{"slug":"large-language-models","name":"large language models"},{"slug":"llm-training","name":"llm-training"}],"trust":{"provenance":{"is_fork":false,"github_id":708999845,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-24T12:01:09.242Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":996,"last_release_at":null,"stars_delta_30d":0,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:41:41.079Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-24T12:01:09.760Z"},"languages":{"value":["jupyter notebook"],"source":"github.language","observed_at":"2026-08-24T12:01:09.760Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-24T12:01:09.760Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["Projects demanding enhanced model safety and reliability in production.","Scenarios where custom data augmentation and embedding are essential for RAG systems."],"when_not_to_use":["For teams needing a comprehensive low-level LLM framework like Hugging Face Transformers due to lack of foundational models support by Tiger.","If priority lies with real-time model deployment automation as opposed to pre-deployment reliability checks and training enhancements."],"source":"enrich:decision_facts","observed_at":"2026-07-14T21:13:09.542Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Tiger is an open-source toolkit improving LLM application trustworthiness with its AI safety suite TigerArmor, embedding-RAG combo TigerRAG, and fine-tuning tool TigerTune."}]}}