This project is a Spring Cloud microservices boilerplate and distributed system infrastructure designed to accelerate the development of enterprise Java applications. It provides a reference architecture that combines a Java backend with a decoupled Vue.js frontend framework.
Principalele funcționalități ale paascloud/paascloud-master sunt: Microservices Architectures, E-commerce Platforms, Microservice Project Scaffolding, Spring Backend Scaffolding, Microservice Infrastructure, Distributed Systems Infrastructure, Request Routing, Role-Based Access Control.
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Diaspora is a federated social networking platform that allows users to run and manage self-hosted community servers, known as pods. It operates as a distributed network where independent server nodes exchange content and users using open protocols and standardized communication schemas. The platform is distinguished by its focus on decentralized identity management and privacy-preserving communication. It includes a privacy-focused media proxy that routes external assets through a local server to protect user identity and supports cross-instance account migration, allowing users to move thei
Developer Roadmap is a community-driven platform that provides structured, graph-based learning paths for software engineering. It serves as a comprehensive knowledge repository where technical domains are organized into visual sequences to guide professional skill acquisition and career growth. The project distinguishes itself through a collaborative ecosystem that enables users to contribute roadmaps, curate industry best practices, and maintain professional profiles. It integrates diagnostic assessment frameworks to evaluate technical proficiency, helping developers identify knowledge gaps
Jeesite is a full-stack low-code development framework designed for building enterprise administrative portals using Spring Boot, MyBatis, and Vue. It functions as a comprehensive platform for creating administrative dashboards with integrated role-based access control and organizational data permission systems. The framework distinguishes itself through a combination of automated CRUD code generation and an integrated RAG platform that connects large language models to enterprise data via vector stores. It further incorporates a BPMN-based workflow engine to automate complex business process
CVAT is an open-source, web-based platform designed for annotating images, videos, and 3D point clouds to create high-quality training datasets for machine learning. It functions as a containerized server that orchestrates the entire lifecycle of computer vision data, from initial task creation and manual labeling to quality assurance and final dataset export. The platform distinguishes itself through deep integration with machine learning models, allowing users to deploy custom AI models as serverless functions for automated object detection, tracking, and skeleton annotation. It supports co