jeecgboot/jimureport

一款真正的 AI 报表诞生了!JimuChatBI —— 首款免费开源对话式智能数据分析产品(Chat2BI)。 一句话生成报表和数据大屏,支持对话式 AI 修改优化;类 Excel 在线报表设计,兼容国产信创数据源。 对着 AI...

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Summary Information

Updated 47 minutes ago
Added to GitGenius on September 7th, 2026
Created on December 5th, 2019
Open Issues & Pull Requests: 28 (+0)
GitHub issues: Enabled
Number of forks: 1,879
Total Stargazers: 8,404 (+0)
Total Subscribers: 108 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 14.4 hours
Mean response time: 4.0 days
90th percentile: 9.3 days
Tracked items: 1,617

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 92% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 18% of issues opened in the past year have been closed. Three people close 89% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 25
New in 7 days: 7
Closed in 7 days: 0
Avg open age: 116 days
Stale 30+ days: 1
Stale 90+ days: 1

Recent activity

Opened in 7 days: 6
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 3

Top labels

  • bug (861)
  • help wanted (182)

Detailed Description

JimuReport is a free data visualization and reporting tool that combines traditional report design, dashboard creation, and conversational AI-powered data analysis into a single platform.

The tool addresses the need for accessible, intelligent reporting by combining three distinct capabilities. JimuReport handles complex enterprise reports and printing through an Excel-like web designer with drag-and-drop functionality. JimuBI focuses on data dashboards and large-screen visualizations with multi-device support. JimuChatBI, the newest component, enables users to generate reports and dashboards through natural language conversation with an AI assistant, which can then be iteratively refined through dialogue. The platform supports group aggregation, cross-tabulation, master-detail reports, multi-sheet designs, data drilling, one-click printing, data entry forms, mobile reporting, and barcode generation.

Organizations should consider this tool if they need a cost-effective alternative to commercial reporting solutions like FineReport or Tableau. It suits enterprises requiring complex report layouts, print-ready output, and multi-scenario coverage across dashboards, portals, and mobile interfaces. The conversational AI component significantly lowers the barrier to entry for business users who lack technical reporting expertise. The tool is compatible with domestic Chinese data sources and information security initiatives, making it relevant for organizations in that ecosystem.

Development activity shows consistent engagement with the codebase through regular updates and feature additions. The project maintains active documentation and configuration guidance for AI assistant integration. The team has prioritized adding AI-driven capabilities as a core differentiator rather than incremental improvements to existing features. Community-oriented development is evident through the emphasis on free and commercially usable functionality, though the source code itself remains proprietary.