AI app starters · Rank #8

B

openchatbi

Grade B: derived only from the two verdicts below. How grades work

OpenChatBI is an intelligent chat-based BI tool powered by large language models, designed to help users query, analyze, and visualize data through natural language conversations. It uses LangGraph and LangChain to build chat agent and workflows that support natural language to SQL conversion and data analysis.

Active1 major behindFree

Why this verdict

How we check →
  • 14 commits by 5 contributors in the last 90 days (6 in the last 30). receipt ↗
  • Latest release v1.0.0b1, 106 days ago. receipt ↗
  • Gradio 5 declared; latest is 6 (1 major behind). receipt ↗
  • pandas 2 declared; latest is 3 (1 major behind). receipt ↗
  • On current major: LangChain, NumPy, SQLAlchemy, Streamlit. receipt ↗

Snapshot: commit 6882cb6 on main, checked 2026-10-19 07:52 UTC. Receipts link to files at this exact commit.

Dependency freshness

PackageDeclaredLatestStatus
Gradio gradio5.43.16.30.01 major behind
pandas pandas2.2.03.0.61 major behind
LangChain langchain1.3.21.4.6Current
LangGraph langgraph1.2.21.2.16Current
NumPy numpy2.3.02.5.4Current
SQLAlchemy sqlalchemy2.0.412.1.5Current
Streamlit streamlit1.49.11.66.0Current

Declared = lowest version the kit's dependency file (package.json, pyproject.toml or requirements.txt) allows. Latest = the npm "latest" tag or the newest PyPI release. TypeScript, the Stripe SDK, FastAPI and other 0.x packages are shown but not counted in the verdict.

What's in the stack

Framework
Streamlit, Gradio
Database / ORM
SQLAlchemy

Detected from declared dependencies. A listed package means it's installed, not necessarily fully wired up.

What the README says you get

  • AI
    Natural language queriesGet data analysis results by asking questions in natural language
  • AI
    Persistent memoryConversation management and user characteristic memory based on LangGraph checkpointing
  • AI
    Knowledge base integrationcombining catalog based knowledge retrival and external knowledge base retrival
  • Analytics
    Time series forecastingIn-house forecasting models, accessed through the data analysis agent
  • Analytics
    Data analysis agentA specialized sub-agent (built on deepagents) that the main agent delegates complex analysis to
  • Analytics
    Anomaly detectionanomaly detection, multi-dimensional drill-down (Adtributor) and Python execution
  • API
    MCP tool integrationIntegration with MCP tools by configuration
  • Data
    Automatic SQL generationConvert natural language queries into SQL statements using advanced text2sql workflows
  • Data
    Data catalog managementAutomatically discovers and indexes database table structures
  • Data
    SQL result limitsText2SQL query results are limited by default to avoid loading unbounded result sets
  • Other
    Python code executionExecute Python code for data analysis and visualization
  • UI
    Data visualizationGenerate intuitive data visualizations (via plotly)
  • UI
    Sample web UIsProvide 2 sample UI: simple and streaming web interfaces using Gradio and Streamlit

Extracted from the kit's README by a local AI model (deepseek-flash) on Oct 19, 2026. Every item is checked against an exact README quote; 1 unverifiable item was discarded. A README claim is the maker's description, not something we tested.

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History

Oct 1, 2026 → Oct 19, 2026. One square per check, colored by maintenance status. Hover for details.

Show as a table
DateMaintenanceDependenciesCommits (90d)
Oct 19, 2026Active1 major behind14
Oct 12, 2026Active1 major behind12
Oct 1, 2026Active1 major behind13

Sources

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