arms

#安卓#🔥 A low-cost Android screen adaptation solution (今日头条屏幕适配方案终极版，一个极低成本的 Android 屏幕适配方案).

#安卓#⚔️ A common architecture for Android applications developing based on MVP, integrates many open source projects, to make your developing quicker and easier (一个整合了大量主流开源项目高度可配置化的 Android MVP 快速集成框架).

⏳ Listen the progress of downloading and uploading in Okhttp, compatible Retrofit and Glide (一行代码即可监听 App 中所有网络链接的上传以及下载进度, 包括 Glide 的图片加载进度).

🔮 Let Retrofit support multiple baseUrl and can be change the baseUrl at runtime (以最简洁的 Api 让 Retrofit 同时支持多个 BaseUrl 以及动态改变 BaseUrl).

#安卓#📦 A complete android componentization solution, powered by MVPArms (MVPArms 官方快速组件化方案).

🎨 A new Android MVP architecture (此框架旨在解决传统 MVP 类和接口太多, 并且 Presenter 和 View 通过接口通信过于繁琐, 重用 Presenter 代价太大等问题).

#安卓#🛠️ A template for Android Studio to create MVPArms and MVPArt Page

An Alibaba Cloud native microservice demo powered by Apache Dubbo and Spring Cloud Alibaba

#安卓#🛠️ 一键搭建 ArmsComponent 快速组件化方案的整体组件架构, 让新手也可以一秒开始组件化项目, 开发神器, 让您一秒起飞, 体验纯傻瓜式的组件化开发, 避免组件化从入门到放弃!

#安卓#🛠 一键搭建 MVPArms 的官方架构, 让新手一秒即可开启 MVPArms 的世界, 免于项目繁琐配置的烦恼

#安卓#📬 The LifecycleModel class is designed to store and manage UI-related data in a lifecycle conscious way, the LifecycleModel class allows data to survive configuration changes such as screen rotations...

🗑 Error Handle Of Rxjava

Unity Inverse Kinematics solution for arms in VR

arms框架的模板插件

Webman ARMS 阿里云应用监控链路追踪组件

🔥👍极简组件化快速开发框架【Admiral】（整合了Androidx+Rxjava2+Retrofit2+OkHttp3+ARouter+MVP+FlutterBoost等等主流开源项目,极易上手的组件化框架），本框架的目标是【一切从简】，让任何基础的安卓开发人员都能非常容易的上手MVP的组件化开发。

Airline Reservations and Management System (ARMS)

This web application shows you the list of many countries, also you can search for countries, get information such as the flag, coat of arms, population, region of the country you selected.

Academic Resource Management System (ARMS) is a software which is developed for the Education system. Teachers can upload study materials and Students can download those files.

this project is able to detect length of both arms and shoulder to neck distance on a image and video using MPII trained model weights with human pose estimation technique