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raybreslinwcl's Projects

lianjia-beike-spider icon lianjia-beike-spider

链家网和贝壳网房价爬虫,采集北京上海广州深圳等21个**主要城市的房价数据(小区,二手房,出租房,新房),稳定可靠快速!支持csv,MySQL, MongoDB,Excel, json存储,支持Python2和3,图表展示数据,注释丰富 ,点星支持,仅供学习参考,请勿用于商业用途,后果自负。

logcount icon logcount

基于spark streaming和kafka,hbase的日志统计分析系统

mall icon mall

mall项目是一套电商系统,包括前台商城系统及后台管理系统,基于SpringBoot+MyBatis实现。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。

marktext icon marktext

📝Next generation markdown editor, running on platforms of MacOS Windows and Linux.

miaosha icon miaosha

⭐⭐⭐⭐秒杀系统设计与实现.互联网工程师进阶与分析🙋🐓

microsoft-activation-scripts icon microsoft-activation-scripts

A Windows and Office activator using HWID / KMS38 / Online KMS activation methods, with a focus on open-source code and fewer antivirus detections.

myblog icon myblog

使用SpringBoot+MyBatis进行前后端开发的个人博客网站

olap icon olap

睿思BI-OLAP开源多维分析系统

qualitis icon qualitis

Qualitis is a one-stop data quality management platform that supports quality verification, notification, and management for various datasource. It is used to solve various data quality problems caused by data processing. https://github.com/WeBankFinTech/Qualitis

redis icon redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.

renren-fast-vue icon renren-fast-vue

renren-fast-vue基于vue、element-ui构建开发,实现renren-fast后台管理前端功能,提供一套更优的前端解决方案。

rsbi-pom icon rsbi-pom

睿思BI-数据仪表盘,开源商业智能,数据可视化系统

ruoyi-vue icon ruoyi-vue

(RuoYi)官方仓库 基于SpringBoot,Spring Security,JWT,Vue & Element 的前后端分离权限管理系统

shopping-management-system icon shopping-management-system

该项目为多个小项目的集合(持续更新中...)。内容类似淘宝、京东等网购管理系统以及图书管理、超市管理等系统。目的在于便于Java初级爱好者在学习完某一部分Java知识后有一个合适的项目锻炼、运用所学知识,完善知识体系。适用人群:Java基础到入门的爱好者。

skyblog icon skyblog

一个简单的Spring Boot + Vue 前后端分离的博客系统 https://skymo.top

sparkstreamingmooccourse icon sparkstreamingmooccourse

本项目实现:spark streaming从kafka读取数据,处理后存储到hbase,然后,提交前台web界面展示.

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