DeepInsight-AI/DeepBI
LLM based data scientist, AI native data application. AI-driven infinite thinking redefines BI. observed · 2026-08-28
Health v2 · maintenance only
24/100
- Activity 16
- Release rhythm 8
- Longevity 72
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1017
- days_rel: 694
- days_push: 506
- n_releases_24m: 1
Adoption not part of the score
2370 stars · 371 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
DeepBI is an AI-native business intelligence platform that uses large language models to let users explore, query, visualize, and share data through natural-language conversations. It supports multiple data sources (MySQL, PostgreSQL, Doris, StarRocks, MongoDB, CSV/Excel) and assembles results into dashboards.
Use cases
- analyze csv data with natural language questions
- generate sql queries from plain english prompts
- build dashboards from conversational data queries
- connect mysql and postgres databases for ai-driven analysis
- self-host an llm-powered business intelligence tool
- visualize excel spreadsheet data via chat
When to choose
- you want conversational, LLM-driven data exploration instead of writing SQL by hand
- you need a self-hosted BI tool supporting multiple databases and CSV/Excel imports
- you want to assemble AI-generated visualizations into shareable dashboards
When to avoid
- you need a fully mature, enterprise-supported BI suite with strict governance and audit features
- you cannot send data to external LLM APIs due to privacy constraints
- you only need static reporting without conversational querying
Facets
application · maturity active
data-visualization nlp llm-inference chatbot analytics database data-science analytics data-visualization large-language-models databases self-hosted windows self-hosted python business-intelligence conversational-analytics text-to-sql dashboards llm-powered data-analysis docker linux macos web-server
5 sources
- readme: https://github.com/DeepInsight-AI/DeepBI · fetched 2026-08-28 · c3e0dd1fdf66
- homepage: https://www.deepbi.com/ · fetched 2026-08-29 · 56532062ef7b
- site_page: https://www.deepbi.com/about · fetched 2026-08-29 · c7b777488202
- site_page: https://www.deepbi.com/pricing · fetched 2026-08-29 · 26b1186bf58e
- site_page: https://www.deepbi.com/faq1.html · fetched 2026-08-29 · 7a40e6a98a60
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| DeepInsight-AI/DeepBI | main | 24 |
For agents
markdown · JSON · MCP: product_card(name="DeepInsight-AI/DeepBI")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem