JimuReport is an open-source reporting and dashboard engine designed to be embedded directly into Spring Boot applications. Its core identity centers on generating data reports and full-screen dashboards from natural language descriptions, eliminating the need for manual design. The platform also provides a conversational query interface that translates plain-language questions into database queries, returning results as tables and charts without requiring SQL knowledge. What distinguishes JimuReport is its integration of AI skills that can be installed with a single command, enabling report
Supersonic is an LLM-based data analysis platform and semantic layer engine that translates natural language questions into executable SQL queries. It functions as a business intelligence dashboard and text-to-SQL interface, allowing users to retrieve business metrics and insights through a conversational interface. The system decouples business definitions from physical database schemas by using a governed logical layer to define unified metrics and dimensions. This semantic modeling allows the platform to map human language patterns to curated models and translate abstract semantic statemen
This project is a developer utility that functions as an artificial intelligence-powered assistant for database query management. It provides an interactive interface for translating between natural language and structured database code, simplifying the processes of writing, debugging, and maintaining complex queries. The tool distinguishes itself by incorporating schema-aware context injection, which allows it to align generated queries with specific table definitions and relationship metadata. By maintaining stateful conversation history and utilizing large language model prompting, it enab
SQL Chat is a Docker-deployed chat interface that translates natural language questions into SQL queries and executes them against connected databases. It uses a large language model to generate SQL from plain English instructions, supporting both querying and record modification through INSERT, UPDATE, and DELETE statements within the chat conversation flow. The application connects to MySQL, PostgreSQL, MSSQL, TiDB Cloud, and OceanBase databases through a unified driver abstraction layer, allowing users to interact with multiple database types from a single chat interface. Users provide the
🔥 基于大模型和 RAG 的智能问数系统，对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.
The main features of dataease/sqlbot are: Conversational Data Exploration, Multi-turn Interaction Managers, Query Expansion and Refinement, Schema Grounding Retrievers, Text-to-SQL Translators, Natural Language Data Queries, Natural Language Querying, Natural Language to SQL.
Open-source alternatives to dataease/sqlbot include: jeecgboot/jimureport — JimuReport is an open-source reporting and dashboard engine designed to be embedded directly into Spring Boot… tencentmusic/supersonic — Supersonic is an LLM-based data analysis platform and semantic layer engine that translates natural language questions… whoiskatrin/sql-translator — This project is a developer utility that functions as an artificial intelligence-powered assistant for database query… sqlchat/sqlchat — SQL Chat is a Docker-deployed chat interface that translates natural language questions into SQL queries and executes… csunny/db-gpt — DB-GPT is an AI-driven database management system that uses agentic reasoning to execute data tasks. It converts… langroid/langroid — Langroid is a multi-agent orchestration framework and tool integration suite designed for building complex AI…