{"data":{"slug":"eosphoros-ai-db-gpt-hub","name":"DB-GPT-Hub","tagline":"Repository for DB-GPT models, datasets, and techniques aimed at Text-to-SQL performance enhancement.","github_url":"https://github.com/eosphoros-ai/DB-GPT-Hub","owner":"eosphoros-ai","repo":"DB-GPT-Hub","owner_avatar_url":"https://avatars.githubusercontent.com/u/140580304?v=4","primary_language":"Python","stars":2014,"forks":250,"topics":["database","datasets","fine-tuning","gpt","hacktoberfest","llm","nl2sql","sql","text-to-sql","text2sql"],"archived":false,"github_pushed_at":"2025-07-02T03:39:31+00:00","maintenance_label":"Dormant","stars_delta_30d":13,"url":"https://www.graphcanon.com/tools/eosphoros-ai-db-gpt-hub","markdown_url":"https://www.graphcanon.com/tools/eosphoros-ai-db-gpt-hub.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/eosphoros-ai-db-gpt-hub","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=eosphoros-ai-db-gpt-hub","description":"A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance  in Text-to-SQL","homepage_url":null,"license":"MIT","open_issues":73,"watchers":24,"ai_summary":"Includes models, datasets, fine-tuning methods to improve DB-GPT performance in converting natural language queries into SQL.","readme_excerpt":"### 3.2 Quick Start\n\nFirstly, install `dbgpt-hub` with the following command\n\n`pip install dbgpt-hub`\n\nThen, set up the arguments and run the whole process.\n```python\nfrom dbgpt_hub_sql.data_process import preprocess_sft_data\nfrom dbgpt_hub_sql.train import start_sft\nfrom dbgpt_hub_sql.predict import start_predict\nfrom dbgpt_hub_sql.eval import start_evaluate","github_created_at":"2023-06-02T03:58:07+00:00","created_at":"2026-07-11T11:38:32.925434+00:00","updated_at":"2026-09-20T06:29:10.560795+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":"database","name":"database"},{"slug":"datasets","name":"datasets"},{"slug":"fine-tuning","name":"fine-tuning"},{"slug":"gpt","name":"gpt"},{"slug":"hacktoberfest","name":"hacktoberfest"},{"slug":"llm","name":"llm"},{"slug":"nl2sql","name":"nl2sql"},{"slug":"sql","name":"sql"}],"trust":{"provenance":{"is_fork":false,"github_id":648474263,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-19T18:23:59.016Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":444,"last_release_at":"2023-12-08T10:25:16Z","stars_delta_30d":13,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:38:34.073Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-19T18:24:00.048Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-09-19T18:24:00.048Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-09-19T18:24:00.048Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["Use when you need to improve Text-to-SQL performance specifically with the DB-GPT model, as this repository is specialized for enhancing its functionalities.","Prefer it if you are engaged in projects requiring conversion of natural language queries into SQL syntax where domain-specific enhancements can leverage pre-existing fine-tuning methods."],"when_not_to_use":["Avoid using when your project does not involve the DB-GPT model, as resources and techniques here are tailor-made for this specific model.","Do not utilize if you require immediate results without the need for model customization or performance enhancement through fine-tuning."],"source":"enrich:decision_facts","observed_at":"2026-07-15T09:33:44.482Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"DB-GPT-Hub offers resources for improving DB-GPT's Text-to-SQL capabilities through fine-tuning techniques and relevant datasets."}]}}