xcc's repositories
squash-cli
基于tinify的图片压缩cli工具
feishu-push
飞书群信息推送
wx-mini-uploader
微信小程序自动化上传cli
awesome-micro-npm-packages
A curated list of small, focused npm packages.
Python-100-Days
Python - 100天从新手到大师
react-illustration-series
图解react源码, 用大量配图的方式, 致力于将react原理表述清楚.
reactExplain
React源码解析
webfunny_monitor
这是一款轻量级的前端监控系统，以及前端性能监控系统，只需简单操作便可私有化部署到自己的服务器上。1.实现无埋点监控前端日志，对前端PV、UV精准分析；2.对用户留存率分析、用户跳出率分析，用户在页面停留时间分析。3.监控JS错误，分析js报错趋势，用SourceMap反向定位源码。4.监控接口请求，分析接口的失败率，统计分析接口性能，统计分析接口耗时等。5.监控静态资源加载情况，统计分析静态资源加载失败的情况，分析前端白屏。6.户细查功能，记录下每个用户的所有行为，复现生产环境Bug。自定义埋点功能，可以自定义埋点，webfunny会将其记录下来，并定时分析。同时可以对多个埋点步骤进行漏斗分析，可以清晰的看到步骤之间的转化率，留存率等等。This is a lightweight front-end monitoring system, as well as a front-end performance monitoring system, which can be privatized and deployed to your own server with simple operation. 1.It can monitor the front-end log without buried point, and accurately analyze the front-end PV and UV. 2.Analysis of user retention rate, user jump out rate, user stay time analysis. 3.Monitor JS error, analyze JS error trend, and use sourceMap to reverse locate source code. 4.Monitor the interface request, analyze the failure rate of the interface, analyze the interface performance, and analyze the interface time consumption. 5.Monitor the static resource loading, analyze the failure of static resource loading, and analyze the front-end white screen. 6.User detailed check function, record all behaviors of each user, and reproduce the production environment bug.The user-defined buried point function can customize the buried point, which will be recorded and analyzed regularly by webpunny.At the same time, funnel analysis can be carried out for multiple buried point steps, and the conversion rate and retention rate between steps can be clearly seen.
article
社区精选文章，看的一些觉得写的很好的文章
flutter_flexible
flutter脚手架，让你更专注UI层
geektime-books
:books: 极客时间电子书
notes
读书笔记
web-tracing
为前端项目提供【 埋点、行为、性能、异常、请求、资源、路由、曝光、录屏 】监控手段