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CRAP - 开源API接口管理平台 | 完全开源、免费使用的API接口管理系统、BUG管理系统:API接口管理、文档管理、数据库表管理、接口调试、浏览器调试插件、导出word&pdf接口…..,采用SpringMVC + MyBatis + Lucene + Bootstrap + Angularjs + Iconfont + Guava Cache ,线上使用地址:http://api.crap.cn

一种简单有效的android组件化方案,支持组件的代码资源隔离、单独调试、集成调试、组件交互、UI跳转、生命周期等完整功能。

A Burp Suite extension that integrates OpenAI's GPT to perform an additional passive scan for discovering highly bespoke vulnerabilities and enables running traffic-based analysis of any type.

Smithy is a protocol-agnostic interface definition language and set of tools for generating clients, servers, and documentation for any programming language.

  • smithy
  • smithy-models

🚀基于 Spring Boot 3、Spring Cloud & Alibaba 2022、SAS OAuth2 、Vue3、Element-Plus、uni-app 构建的开源全栈商城。

  • spring-boot
  • spring-cloud
  • mybatis-plus
  • spring-cloud-alibaba

💬 DialogX dialog box component library, easy to use, more customizable, more scalable, easy to achieve a variety of dialog boxes. DialogX对话框组件库,更加方便易用,可自定义程度更高,扩展性更强,轻松实现各种对话框、菜单和提示效果,更有Material You、iOS、MIUI等主题扩展可选

  • dialogx-material
  • kongzue-dialogx
  • waitdialog-tipdialog
  • bottomdialog-bottommenu

The goal of this project is to allow integrated or USB-connected webcams to be accessed directly from Java. Using provided libraries users are able to read camera images and detect motion. Main project consist of several sub projects - the root one, which contains required classes, build-in webcam driver compatible with Windows, Linux and Mac OS, which can stream images as fast as your camera can serve them (up to 50 FPS). Main project can be used standalone, but user is able to replace build-in driver with different one - such as OpenIMAJ, GStreamer, V4L4j, JMF, LTI-CIVIL, FMJ, etc.

  • webcam
  • java
  • webcam-capture

Oinone is an AI‑Powered low‑code framework that unifies AI and developers around a shared metadata model to build maintainable, evolvable, high‑quality enterprise intelligent applications.[AI Coding][Vibe Coding][Framework][Low Code]

  • lowcode
  • ai-lowcode
  • framework
  • low-code