bytesc/data-copilot-steps
✨ 大语言模型 (LLM) 的可解释型自然语言数据库查询系统 (RAG) Interpretable Natural Language Database Query System (RAG) based on Large Language Models (LLM) ✨ 自然语言提问，使用大语言模型智能解析数据库结构，对数据进行智能多表结构化查询和统计计算，根据查询结果智能绘制多种图表。 生成链路过程完全开放可修改，可解释，实现可靠的自然语言数据分析。 Pywebio 交互式前端网页，不必须 openai api，100%纯 Python 代码。
This tool helps business analysts, data scientists, and operations managers quickly get insights from their databases without needing to write SQL. You ask questions in plain language, the system intelligently queries your database across multiple tables, performs calculations, and then generates various charts to visualize the results. This makes data exploration and reporting accessible to anyone who needs to understand their business data.
No commits in the last 6 months.
Use this if you frequently need to query and visualize data from a MySQL database but prefer to ask questions in natural language rather than writing complex SQL.
Not ideal if your primary need is complex data modeling or advanced statistical analysis that requires deep customization beyond automated SQL generation and charting.
Stars
12
Forks
4
Language
Python
License
MIT
Category
Last pushed
Jun 03, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/bytesc/data-copilot-steps"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
dolthub/dolt
Dolt – Git for Data
DataPupOrg/DataPup
A modern, AI-assisted, cross-platform database client - free
eosho/langchain_data_agent
NL2SQL - Ask questions in plain English, get SQL queries and results. Powered by LangGraph.
colesmcintosh/langchain-salesforce
Langchain integration for Salesforce CRM, providing tools for SOQL queries, object schema...
vstorm-co/database-pydantic-ai
Database toolset for PydanticAI — schema exploration, SQL queries, and data analysis with...