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victor's Projects

apollo icon apollo

Apollo(阿波罗)是携程框架部门研发的分布式配置中心,能够集中化管理应用不同环境、不同集群的配置,配置修改后能够实时推送到应用端,并且具备规范的权限、流程治理等特性,适用于微服务配置管理场景。

belling-redis-id-generator icon belling-redis-id-generator

基于SpringBoot生产分布式下全局的ID,保证ID生成的顺序性、无重复性、高可用,利用Redis排除了受单点故障问题的影响,生成ID规则: 年份(2位) + 一年中第几天 (3位)+ 小时(2位) + Redis自增序号 (5位),总计12位, 支持一小时内近100w个订单号的生成和使用, 比如 173071503441

crm icon crm

基于SSM客户关系管理系统

dataease icon dataease

人人可用的开源数据可视化分析工具。

datav icon datav

Vue数据可视化组件库(类似阿里DataV,大屏数据展示),提供SVG的边框及装饰、图表、水位图、飞线图等组件,简单易用,长期更新(React版已发布)

datax-cloud-base icon datax-cloud-base

智数通提供了元数据管理、数据标准管理、数据质量管理、主数据管理、数据集市管理、可视化图表看板、流程管理等微服务,是为数据治理而生的企业级一站式数据中台。

daydayup icon daydayup

每天都在进步,每周都在总结,Java架构师成长之路。目前已经完成:MongoDB,Netty,Nginx,MySQL,Java,Redis,Shiro,Solr,SpringBoot,SpringData,SSO,Mybatis,Kotlin,还在持续更新中

dubbo icon dubbo

Apache Dubbo is a high-performance, java based, open source RPC framework.

easydarwin icon easydarwin

open source、high performance、industrial rtsp streaming server based on Darwin Streaming Server,a lot of optimization on streaming relay,KeyFrame cache,RESTful,and web management,also EasyDarwin support distributed load balancing,a simple streaming media cloud platform architecture.高性能开源RTSP流媒体服务器,基于Darwin Streaming Server 维护和优化:RTSP转发、关键帧缓存、秒开画面、RESTful接口、WEB后台管理、分布式负载均衡,基于EasyDarwin构建出了一套简单基础的流媒体云平台架构!

guava icon guava

Google core libraries for Java

halo icon halo

✍ Halo 一款现代化的个人独立博客系统

hanlp icon hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁

hfw icon hfw

hibernate+dubbo+gradle

iview-admin icon iview-admin

Vue 2.0 admin management system template based on iView

jeesite icon jeesite

JeeSite 是一个企业信息化开发基础平台,Java企业应用开源框架,Java EE(J2EE)快速开发框架,使用经典技术组合(Spring、Spring MVC、Apache Shiro、MyBatis、Bootstrap UI),包括核心模块如:组织机构、角色用户、权限授权、数据权限、内容管理、工作流等。

jforum3 icon jforum3

JForum 3. No longer maintained, kept here for historical reasons

jwplayer icon jwplayer

JW Player is the world's most popular embeddable media player.

kafkaoffsetmonitor icon kafkaoffsetmonitor

A little app to monitor the progress of kafka consumers and their lag wrt the queue.

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