#48 · Primary category: Business Intelligence & Analytics

DeepBI

ai analysis bi csv data gpt gpt-4 llm mysql redis

LLM based data scientist, AI native data application. AI-driven infinite thinking redefines BI.

Project last updated:08/28/26

GitHub Stars

2.4K

Forks

371

Contributors

9

License

MIT

Why we included this project

DeepBI sits between your database and your analysts, letting people ask questions in plain English and get working SQL and charts back without hand-writing queries. It talks to MySQL, PostgreSQL, Doris, StarRocks, MongoDB, and CSV or Excel uploads, and the results can be saved into dashboards that persist for the team. For a technical lead or small team without dedicated SQL expertise, that removes a real bottleneck, and since it runs locally through Docker or a Windows installer, you can keep the data inside your own infrastructure. It is a sensible option when conversational access to the databases you already run beats another static reporting tool.

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