Easy Data Preparation with latest LLMs-based Operators and Pipelines.
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Updated
May 22, 2026 - Python
Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
One-stop data intelligence agent, providing insights from all mainstream data formats in a single dialogue box, including documents, databases, business systems, and images.一站式数据智能体,一个对话框提供所有主流格式数据的见解,包括文档、数据库、业务系统和图像。
NL2SQL - Ask questions in plain English, get SQL queries and results. Powered by LangGraph.
DeepEye: An Autonomous Data Agent System
ChatBI OEE 设备综合效率 传统仪表盘 + AI 对话分析
Data Agent is an intelligent data analysis system that automatically completes complex data analysis tasks through multi-agent collaboration.
Aliyun (Alibaba Cloud) BigData Skills
A local CLI agent that connects to databases and answers data questions using natural language and SQL.
A production-grade, fully Dockerized, 100% offline ML data platform with real-time pipeline orchestration, dynamic observability, and embedded AI
Blueprint for spinning up read-only SQL data agents from any SQLAlchemy-compatible database. Indexes schema and column content into LanceDB and exposes MCP + REST tools so LLMs and UIs can safely explore your data.
Self-learning data agent delivering insights, not SQL. 6 layers of context grounding, autonomous Learning Machine, ChatGPT-style UI with real-time pipeline visualization. Built with MCP, FastAPI, PostgreSQL+pgvector, and Google Gemini. Production-ready with OpenTelemetry traces, Prometheus metrics, and Docker deployment.
ControlMind: MinerU-powered scientific document intelligence — 500-question cross-modal benchmark, 14-intent data agent, and local-first medical RAG
O projeto combina um frontend em React, um backend em FastAPI, DuckDB para execução OLAP local e um agente baseado em LangChain orquestrado com modelos hospedados no Groq.
Autonomous AI Data Agent for real-time streaming analysis and interactive visualizations.
Natural language → SQL data analysis agent for tourism business. LangGraph 13-node workflow with hybrid retrieval (Qdrant + ES) and SSE streaming.
Self-learning data agent delivering insights, not SQL. 6 layers of context grounding, autonomous learning, ChatGPT-style UI with real-time pipeline visualization. MCP-enabled. Built with FastAPI, PostgreSQL + pgvector, and Google Gemini. Production-ready with OpenTelemetry, Prometheus, and Docker.
Fork of DAB — benchmark for evaluating data agents on realistic multi-database enterprise tasks.
A multi-agent portfolio assistant for a mock hedge fund based on real stock market data.
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