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javahongxi/whatsmars resource

Java生态研究(Spring Boot + Redis + Dubbo + RocketMQ + Elasticsearch)🔥🔥🔥🔥🔥 observed · 2026-08-28

github.com/javahongxi/whatsmars · homepage · Java · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

96/100

  • Activity 99
  • Release rhythm 91
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 13.0
  • age_days: 3806
  • days_rel: 60
  • days_push: 9
  • n_releases_24m: 3

Full methodology

Adoption not part of the score

1967 stars · 603 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of Java ecosystem study modules and runnable samples covering Spring Boot, Redis, Dubbo, RocketMQ, Kafka, Elasticsearch, Netty, ZooKeeper, and related middleware, plus newer Java x AI modules (LangChain4j, MCP Server). It serves as a hands-on reference for learning distributed systems and microservice technologies in Java.

Use cases

  • learn spring boot with runnable examples
  • study dubbo rpc and microservices architecture
  • understand rocketmq and kafka messaging patterns
  • explore redis caching and distributed locks
  • practice elasticsearch client usage
  • learn netty nio programming
  • try langchain4j and mcp server in java
  • reference for sharding and distributed scheduling

When to choose

  • you want curated, working sample code for mainstream Java middleware
  • you are studying distributed systems concepts like RPC, message queues, and caching
  • you need reference examples for Spring Boot 3.x and Java 17+
  • you want to explore Java AI engineering with LangChain4j and MCP

When to avoid

  • you need a production-ready framework or library to depend on
  • you want a single cohesive application rather than independent demo modules
  • you work outside the JVM ecosystem

Facets

learning-resource · maturity active

developer-tools rpc caching message-queue search-engine mcp agent-framework llm-inference developer-tools microservices large-language-models databases tutorials jvm cross-platform java-ecosystem spring-boot dubbo rocketmq elasticsearch redis netty zookeeper nacos sentinel shardingsphere kafka grpc langchain4j sample-code microservices-architecture search messaging

2 sources

Member repositories

RepositoryRoleHealth v2
javahongxi/whatsmarsmain96

For agents

markdown · JSON · MCP: product_card(name="javahongxi/whatsmars")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem