Awesome GitHub RepositoriesLow-Code Dashboard Frameworks

Amis is a JSON-driven UI framework and low-code page builder used to generate complex administrative interfaces from schema configurations. It functions as an administrative interface generator that renders web pages and data-entry forms using declarative JSON specifications to eliminate manual component coding. The framework utilizes a schema-driven component library where reusable UI elements are instantiated and managed through structured data definitions. This approach enables a rapid prototyping workflow by allowing interface designs and layouts to be modified via schema files without re

go-admin is a framework for generating administrative interfaces and data visualization dashboards using the Go programming language. It functions as a low-code dashboard builder and a web-based interface for performing create, read, update, and delete operations across multiple SQL database dialects. The project features a deployment model that compiles backend logic and frontend assets into a single executable binary for simplified distribution. It includes a role-based access control system to manage user permissions and restrict administrative functions based on assigned roles. The frame

SpringBlade is a development framework and platform designed for building multi-tenant SaaS applications. It provides a comprehensive scaffold for both Spring Cloud microservices and monolithic Spring Boot architectures, enabling the rapid construction of enterprise-grade software. The platform distinguishes itself through integrated LLM orchestration and industrial IoT management. It features an LLM orchestration platform that combines large language models with knowledge bases and visual AI agent workflows, alongside an IoT hub for device connectivity, state synchronization, and edge flow o

Vizro is a low-code Python framework for building production-ready data visualization applications. It functions as a UI orchestrator that allows users to define multi-page analytical dashboards through structured configurations in Python, YAML, or JSON, reducing the need for extensive frontend engineering. The project distinguishes itself through generative AI integration, utilizing a model context protocol server to translate natural language descriptions into validated dashboard configurations, charts, and layouts. It also features a decoupled data cataloging system that separates data sou