Java Library for Directly Running curl Commands.This is a lightweight HTTP client Java library that can directly convert curl commands into executable HTTP request logic in Java without manual code rewriting. It is suitable for quickly integrating into Java projects after copying curl commands from Chrome browser developer tools, API documents, etc.

import java.util.List;
// 示例UserService接口定义
public interface UserService {

    /**
     * 获取所有用户
     * @param req 请求参数载体
     * @return 所有用户列表
     */
    @JCurlCommand("curl -X GET --location 'http://localhost:8080/api/users/all'")
    List<JUser> all(JQuickCurlReq req);

    /**
     * 根据ID获取单个用户
     * @param req 请求参数载体
     * @return 单个用户信息
     */
    @JCurlCommand("curl -X GET http://localhost:8080/api/users/1")
    JUser getUserById(JQuickCurlReq req);

    /**
     * 创建新用户（POST请求）
     * @param req 请求参数载体
     * @return 创建后的用户信息
     */
    @JCurlCommand("curl -X POST http://localhost:8080/api/users/createUser \\\n" +
            "-H \"Content-Type: application/json\" \\\n" +
            "-d '{\"name\":\"John Doe\",\"email\":\"john@example.com\"}'")
    JUser users(JQuickCurlReq req);
}

Text-based Pokémon Game Written in Java.This is a terminal-based text Pokémon game built with the Java game development framework LibGDX, rendering the screen using Unicode Braille characters as pixels, and supporting battle mechanisms and a complete single-player storyline.

Companion Experimental Framework for Distributed Systems Courses.This project is a Java framework designed by the University of Washington specifically for distributed systems teaching and learning, providing functions like network simulation, automated testing, and visual debugging. It helps beginners implement a fault-tolerant, sharded, and transactional KV storage system from scratch and master the implementation principles of distributed protocols in practice

Self-hosted Personal Footprint Analysis Platform.This is a location tracking and analysis platform built with Java (Quarkus) and PostGIS, serving as an open-source alternative to Google Timeline. It has low memory usage during runtime (40-100MB), offers features such as automatic trip detection, real-time location sharing, multi-source data import, Immich integration, and an AI Q&A assistant, and supports deployment on Docker and K8s

Java Spreadsheet Processing Library to Bid Farewell to OutOfMemory Errors.This is a high-performance, low-memory Java spreadsheet processing library. It is optimized and encapsulated based on Apache POI, and effectively avoids OOM issues when dealing with large files through streaming reading.

Out-of-the-Box Java Application Image Build Tool.This project is a Google open-source tool for building container images of Java applications. It enables building images without running Docker or writing Dockerfiles, and provides multiple usage methods like Maven/Gradle plugins, Java libraries, and CLI, simplifying the containerization process of Java applications

New-generation Customer Relationship Management System.This is a CRM (Customer Relationship Management) platform built based on Spring Boot and Vue.js. It supports functions such as lead acquisition, business opportunity follow-up, and contract signing. It can also achieve AI enhancement by integrating SQLBot and MaxKB.

Personal Footprint Analysis Platform for Java Development.This is a personal location tracking and analysis platform built based on Spring Boot and PostGIS, suitable for recording personal travel routes and geographical location information. It supports automatically identifying stay locations, analyzing travel routes, determining transportation methods, and presenting them in a time-axis + map mode.

Flexible Test Report Generation Tool.This is a Java-developed test report tool that supports multiple programming languages and testing frameworks. It can generate unified and detailed test reports, covering test result details, test case execution status, test coverage, etc.

Easy Deployment of Kafka Cluster on K8s.This project enables developers to easily deploy and manage Apache Kafka clusters on K8s or OpenShift, simplifying the processes of installing, configuring, upgrading, expanding and monitoring Kafka clusters.