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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
Developer Connect：[email protected] Business connect：[email protected]

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. How to installl docker :https://github.com/DeepThought-AI/Holmes/blob/main/InstallDocker.md
    Just run ./Install.sh directly
    Default port is 8338 and 8339
    Web access: http://ip:8338

Docker command

entrance project Holmes dir:
docker-compose start # start Holmes servie
docker-compose stop # stop Holmes servie
docker-compose ps # see Holmes servie states

Ubuntu build

Install directly on the ubuntu system, you need to install redis, postgresql python3.8.17 environment If there is a need for the above environment locally

  • Redis can be accessed directly through the 127.0.0.1 password-free command line.
  • Python version requirements 3.8+ Recommend using virtual environments such as pyenv coda postgresql needs to install postgresql-16 version
  • Just run . ubuntu_install.sh directly (note that you run . ubuntu_CN_install.sh instead of sh xxx here, because you need to run the python virtual environment)
  • Default port is 8338 and 8339
  • Web access: http://ip:8338

📑 Other