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LLM based data scientist, AI native data application.

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Holmes

Holmes is an AI-native data analysis platform. Holmes leverages the power of large language models to explore, query, visualize, and share data from any data source. Users can use Holmes to gain data insight and make data-driven decisions.

Languages: English 中文

If you think Holmes is helpful to you, please help by clicking here on the ⭐ Star and Fork in the upper right corner. Your support is the greatest driving force for Holmes to become better.

Video example

demo.mov

user manual

Holmes user manual

✨ Features

1 Conversational data analysis: Users can get arbitrary data results and analysis results through dialogues.
2 Conversational query generation: Generates persistent queries and visualizations through dialogues.
3 Dashboard : Assemble persistent visualizations into dashboards.
4 Automated data analysis reports (to be developed) : Complete data analysis reports automatically according to user instructions.
5 Support multiple data sources, including MySQL, PostgreSQL, Doris, StarRocks, CSV/Excel, etc.
6 Multi-platform support, support Windows-WSL, Linux, Mac.
7 International, support Chinese, English.

🚀 Supported Databases

The database connections supported by Holmes are:

  • MySQL
  • PostgreSQL
  • csv/Excel Import

📦 Docker build

    The local environment needs to have docker and docker-compose
    Just run ./Install.sh directly
    Default port is 8338 and 8339
    Web access: http://ip:8338

📑 Other

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LLM based data scientist, AI native data application.

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  • JavaScript 37.8%
  • Python 35.2%
  • TypeScript 17.1%
  • Less 6.8%
  • CSS 1.1%
  • HTML 1.1%
  • Other 0.9%
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