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DeepInsight-AI

DeepBI

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

ApplicationsSpecialistsPython
Open on GitHub
Momentum
+0stars in 24 hours0.0%
2.38k
Stars
372
Forks
+1
This week
7
Contributors
Created 2023-11-20 · Updated 2026-10-12 · #8665 today
Top developers

DeepInsight-AI/DeepBI is ranked 8,665 with 2,383 stars.

Same-category comparison

DeepInsight-AI/DeepBI is ranked 8,665 among these 8 peers; keijiro/AIShader is ranked 8,670.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryApplications
SubcategorySpecialists
KeywordsData analysis, Text-to-SQL
Stars2,383
Forks372
Contributors7
Created date2023-11-20
Updated date2026-10-12
Stars in 1 day0
Stars in 7 days1
Rank8,665
Previous rank8,732
Rank change67
7-day stars rank9,390
Previous 7-day stars rank9,444
7-day stars rank change54
Total stars rank5,487
Previous total stars rank5,485
Total stars rank change-2
README summary

DeepBI DeepBI is an AI-native data analysis platform. DeepBI leverages the power of large language models to explore, query, visualize, and share data from any data source. Users can use DeepBI to gain data insight and make data-driven decisions. com If you think DeepBI 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 DeepBI to become better. Video example user

manual DeepBI 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,Windows, Linux, Mac. \ 7 International

, support Chinese, English. 🚀 Supported Databases The database connections supported by DeepBI are: MySQL PostgreSQL csv/Excel Import Doris StarRocks MongoDB 📦 Windows exe installation Download from the tag list . The current test supports Win10 and Win11 Unzip the zip package and double-click the. exe file to run DeepBI Local installation instructions Installl exe 📦 Docker build The local environment needs to have docker and docker-compose. Installl docker Download project files by git: or drirect download zip file, unzip it. Enter

the project directory: Just run directly Default port: 8338 8339 Web access: DeepBI docker command Enter project DeepBI dir: If it appears. ' or ' Permission denied', please add 'sudo' before executing the command Ubuntu build Install directly on the ubuntu system, you need to install redis, postgresql python3. Redis can be accessed directly through the 127. x Recommend using virtual environments such as pyenv coda postgresql needs to install postgresql-16 version Download the DeepBI code by the command If the

download fails to replace the protocol, run the following code Just run directly (note that you run . sh instead of sh xxx here, because you need to run the python virtual environment) Default port is 8338 and 8339 Web access: Contact Us 📑 Other We have tested on Mac OS 12. Windows 10 requires version 22H2 or higher to install WSL The minimum memory requirement for server operation is 1 core 2G memory, and 2 core 4G memory is recommended If

you have any question, please contact us at dev@deepbi.

Frequently asked questions

How many stars and forks are recorded?

DeepInsight-AI/DeepBI has 2,383 stars and 372 forks.

What is the repository rank?

DeepInsight-AI/DeepBI is ranked 8,665.

What language and category are recorded?

DeepInsight-AI/DeepBI has 2,383 stars, uses Python and belongs to Applications.

Which repository is closest in rank?

DeepInsight-AI/DeepBI is compared with keijiro/AIShader, ranked 8,670 with 2,381 stars.

Nearby in the ranking
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