# wosyingjun/beauty_ssm

优雅的SSM（Spring+SpringMVC+Mybatis）框架

Repository: https://github.com/wosyingjun/beauty_ssm
Canonical: https://ross.abutalabs.com/products/beauty_ssm
Language: Java
License Family: other
Last push: 2018-07-19T06:19:24+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3708, "days_push": 2967, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1405, forks 781 (observed 2026-08-28T04:04:38.138135+00:00)

## What it is
An elegant SSM (Spring + SpringMVC + MyBatis) web application scaffold for Java, integrating Maven, Redis caching, Quartz scheduling, Druid monitoring, and Shiro-based access control. It serves as a ready-to-use backend project template with RESTful support and unified exception handling.

## Use cases
- bootstrap a Java SSM web project
- learn Spring SpringMVC MyBatis integration
- set up Redis caching with Spring
- configure Quartz scheduled jobs in a web app
- add Shiro permission control to a Java backend
- use Druid for SQL monitoring and injection prevention

## When to choose
- starting a traditional Java SSM web application
- wanting a pre-wired Spring+MyBatis+Redis template
- learning how SSM components fit together

## When to avoid
- building a modern Spring Boot microservice
- needing an actively maintained framework
- requiring a licensed project for commercial use

## Facets
- artifact type: framework
- maturity: maintenance
- function: web-framework, orm, caching, auth, scheduling, database
- domain: web-development, backend, developer-tools
- platform: jvm
- tags: ssm, spring, springmvc, mybatis, boilerplate, chinese-documentation, restful, redis, quartz, shiro, druid, web-server

## Member repositories
- wosyingjun/beauty_ssm (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:38.138135+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:38:48.345025+00:00, confidence not recorded.
  - readme: https://github.com/wosyingjun/beauty_ssm (fetched 2026-08-28T04:04:38.138135+00:00, sha 9b3ace04e003)
- Data as of 2026-08-30T08:39:29.467469+00:00.