Introduction to DeepBI
DeepBI stands as an innovative AI-native data analysis platform designed to harness the capabilities of large language models. This platform serves as a versatile tool that allows users to explore, query, visualize, and share data from a variety of data sources. DeepBI's primary focus is to provide insights and facilitate data-driven decision-making processes.
Key Features
Conversational Data Analysis:
DeepBI facilitates data analysis through an interactive dialogue system, enabling users to obtain arbitrary data and analysis results intuitively.
Conversational Query Generation:
Through dialogues, DeepBI allows users to generate and persist queries and visualizations, making data interaction more natural and effective.
Dashboard:
Users can compile their persistent visualizations into dashboards, facilitating easier monitoring and analysis of data over time.
Automated Data Analysis Reports:
Although still under development, this feature promises to allow users to automatically generate comprehensive data analysis reports based on specified instructions.
Multiple Data Source Support:
DeepBI is equipped to handle various data sources, including MySQL, PostgreSQL, Doris, StarRocks, CSV/Excel, and more, ensuring flexibility and adaptability.
Cross-Platform Compatibility:
Supporting Windows-WSL, Windows, Linux, and Mac, DeepBI ensures that users can access the platform across a range of operating systems.
Multilingual Support:
The platform is accessible in both English and Chinese, making it suitable for a global audience.
Supported Databases
DeepBI connects with several database systems, providing users with broad compatibility. These include:
- MySQL
- PostgreSQL
- CSV/Excel Import
- Doris
- StarRocks
- MongoDB
Installation and Setup
Windows Installation:
Users can download an installation package, unzip it, and run the executable file to set up DeepBI on Windows 10 and 11 systems.
Docker Build:
With Docker and Docker Compose, users can clone the project from GitHub, navigate to the project directory, and run installation scripts conveniently.
Ubuntu Setup:
DeepBI can be installed directly on Ubuntu, requiring installations of Redis, PostgreSQL, and Python 3.8. Users can clone the GitHub repository and execute an installation script for a straightforward setup.
Contact and Support
For any inquiries or support, users can reach out to the development team via email at [email protected] for technical questions, or [email protected] for business-related matters.
Conclusion
DeepBI aims to streamline the process of data management and analysis by leveraging the power of AI and language models. With its comprehensive feature set and wide compatibility, DeepBI stands ready to assist users in gaining valuable insights and making informed decisions based on their data.