jeecgboot/JeecgBoot

【低代码 V2.0】AI低代码平台,AI Skills 一句话生成整个系统;一键生成前后端代码甚至整个模块。 AI Skills 一句话画流程、设计表单、生成报表、大屏。内置 AI应用平台涵盖:AI聊天、知识库、流程编排、MCP插件等,兼容主流大模型。引领AI低代码「Skills 生成 → 在线配置 → 代码生成 → 手工合并->AI修改」开发模式,解决 Java 项目 90% 重复工作,提高效率又不失灵活。

47,140
Stars
over 7 years
Age
0
Published reviews
0
Questions

Reliability breakdown

What drives the reliability score

Component scores measured daily from GitHub activity (2026-07-15).

Continuity30% of headline64

Activity on 46 of 90 tracked days in the last 90 and 0 of 30 in the last 30.

Closure30% of headline51

Merged 0 of 14 PRs opened and closed 104 of 113 issues opened over the last 90 tracked days — PR flow carries 55% of this component, issue flow 45%.

Shipping20% of headline13

2 releases in the last 180 days, 1 in the last 90 and 0 in the last 30 — a steady cadence scores highest.

Liveness10% of headline100

Last push 5 days ago — freshness decays as pushes age (roughly halves every 83 days without a push).

Support burden10% of headline99

21 open issues against 47,140 stars — about 0 open issues per 1,000 stars. Lighter backlogs score higher.

Adoption confidence67

Modeled — how confidently teams are adopting this repo. Stargazers

Maintenance quality58

Modeled from PR/issue responsiveness and upkeep signals. Activity pulse

Risk score26

Modeled — lower is better; adoption and continuity risk. Repository

Stays active (30d)63%

Modeled chance the repo stays active over 30 days. Activity pulse

Stays active (90d)66%

Modeled chance the repo stays active over 90 days. Activity pulse

Release rhythm (180d)13

Regularity of releases over the last 180 days. Releases

Maintainer bus risk (90d)31%

Modeled — lower is better; concentration of commits in few maintainers. Contributors graph

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