84 repository-uri
Tools that use metadata or schema definitions to automatically generate database structures and user interfaces.
Distinguishing note: Focuses on dynamic generation of database tables and UI forms from JSON schemas.
Explore 84 awesome GitHub repositories matching software engineering & architecture · Schema-Driven Generators. Refine with filters or upvote what's useful.
Insomnia is a cross-platform API development environment that integrates a request debugger, schema design tools, a mocking server, and a test automation framework. It provides a unified workspace for sending requests and analyzing responses across REST, GraphQL, gRPC, and WebSocket protocols. The platform enables the design and preview of API specifications through a visual editor and allows for the simulation of backend behavior using mocking tools. It supports organizing and synchronizing API collections via local storage, cloud synchronization, or Git. The suite includes a command-line i
Automatically generates and validates visual request-building interfaces based on standardized API definitions.
ERPNext is a comprehensive enterprise resource planning suite designed to integrate core organizational functions, including accounting, inventory, human resources, and project management, into a single unified platform. It operates as a metadata-driven business application, where data structures and application logic are defined through configuration rather than hard-coded programming to facilitate rapid customization. The system distinguishes itself through a robust security and governance framework that enforces granular, role-based access control across all document operations. It feature
Data structures are defined as JSON schemas that dictate how the system generates database tables and user interface forms dynamically.
This project is a comprehensive administrative dashboard framework built for the Vue ecosystem. It serves as a modular starter kit designed to accelerate the development of large-scale, enterprise-grade web applications by providing a pre-configured foundation of reusable components and standardized layout patterns. The framework distinguishes itself through a configuration-driven approach to interface development, allowing developers to generate complex forms and tables from schema definitions rather than manual coding. It integrates dynamic route generation and role-based access control, en
Generates complex forms and tables automatically from JSON-based schema definitions to accelerate interface development.
Postiz is an open-source social media management platform designed to centralize the scheduling, publishing, and analysis of content across diverse social networks, community forums, and blogging platforms. It functions as a unified hub where users can coordinate, review, and distribute content through a shared team workspace, while leveraging integrated artificial intelligence to assist in drafting text and generating multimedia assets. The platform distinguishes itself through a modular architecture that utilizes a provider-specific adapter pattern to ensure consistent content distribution
Constructs validated JSON request bodies by mapping internal content models to platform-specific constraints and metadata requirements at runtime.
Swagger UI is an OpenAPI specification renderer and documentation interface that transforms JSON or YAML API definitions into a navigable, searchable website. It functions as an OpenAPI documentation UI and request client, providing a visual catalog for exploring endpoints and sending live HTTP requests to a server using a schema-defined interface. The project distinguishes itself through a plugin-based extension system and a schema-driven UI generation model. This architecture allows for the injection of custom components, state selectors, and helper functions to modify core behavior and lay
Transforms OpenAPI specification files into a visual, interactive user interface by mapping schemas to components.
nginxconfig.io is a web-based NGINX configuration generator designed to build and optimize server configuration files through a visual interface. It functions as a management tool to help avoid manual syntax errors when defining server blocks. The project provides specialized utilities for implementing Gzip and Brotli compression, configuring caching strategies, and managing the deployment and renewal of SSL certificates. It also includes a reverse proxy configurator for defining routing rules and backend application server mappings to distribute network traffic. Additional capabilities cove
Links web form inputs directly to configuration variables to ensure the output adheres to valid server syntax.
This project is a Kubernetes serverless framework and OCI container function platform. It provides a system for deploying event-driven functions and microservices as compatible container images onto a Kubernetes cluster. The platform includes an event-driven function orchestrator that triggers executions via HTTP requests or message streams. It features an auto-scaling function manager that adjusts the number of active instances based on real-time demand and scales down to zero during inactivity. A background queuing system is included to process asynchronous tasks and maintain application re
Provides utilities for generating language-specific function boilerplate files from command-line templates.
Cookiecutter is a command-line project templating engine and scaffolding tool used to automate the creation of software project structures. It functions as a project automator that generates initialized repositories and directories from predefined templates using variable substitution. The system utilizes the Jinja2 templating language to render files and folders, transforming generic blueprints into customized codebases based on user input. It supports template distribution via Git repositories or zip archives, allowing for the standardization of development environments across teams. The t
Maps user-provided inputs from a configuration file to specific variables used during the project rendering process.
Joi is a JavaScript data validation library used to define schemas that validate, cast, and sanitize data objects. It functions as an object schema validator and parser, ensuring that input data matches specific types and formats before it is processed by an application. The library features a conditional validation engine capable of dynamic schema enforcement, where validation logic and dependencies change based on the values of other keys within an object. It also serves as a data casting and sanitization tool, transforming input values into target types and removing sensitive keys from the
Generates JSON representations of schema configurations to assist with debugging and UI generation.
TensorFlow.js is a JavaScript machine learning library used for training and deploying models in web browsers and server-side environments. It functions as a browser-based model trainer, a WebAssembly inference engine, and a WebGPU accelerated tensor library for low-level linear algebra. The project also includes a model converter to transform Python-based models into optimized formats for JavaScript execution. The library distinguishes itself through a pluggable backend architecture that allows mathematical operations to be executed via CPU, WebGL, or WebGPU. It supports the conversion of Py
Includes a guided wizard to generate automation strings for converting model files.
Decap CMS is a headless, Git-based content management system designed to provide a visual editing interface for static site workflows. By decoupling the administrative dashboard from the frontend, it allows users to manage content stored directly in version control repositories as structured data. The system maps visual form inputs to repository files, enabling non-technical contributors to update content without requiring direct code changes. The platform distinguishes itself through its Git-centric automation, which handles content lifecycles by creating commits, branches, and pull requests
Dynamically generates administrative forms by parsing configuration objects defining field types and validation.
This project is a JSON Schema form generator and React UI component that automatically creates web forms based on JSON Schema definitions. It serves as a schema-driven form builder used to transform declarative data definitions into interactive user interfaces for data entry and validation. The tool provides capabilities for dynamic form generation and JSON Schema integration, allowing for the automatic creation of input fields and layouts to avoid manual coding. It implements schema-based validation to ensure user input adheres to standardized JSON Schema rules in real time. The system mana
Uses declarative JSON schemas to automatically generate customizable input fields and layouts.
This project is a declarative framework for building interactive web forms by parsing JSON Schema definitions. It functions as a component-based generator that automatically maps schema constraints to input fields and validation logic, ensuring that data collection remains consistent with defined structures. The library distinguishes itself through a registry-based architecture that allows for extensive customization of the user interface. Developers can override default widgets, field templates, and layout structures to accommodate unique data types or specific design requirements. It suppor
Automatically selects and instantiates UI components for data entry by parsing JSON schema definitions.
LangBot is an orchestration platform designed for building, managing, and deploying AI agents. It functions as a comprehensive framework for integrating large language models with custom workflows, enabling developers to connect intelligent agents to various messaging platforms and external tools. The platform distinguishes itself through a modular, plugin-based architecture that allows for the extension of agent capabilities via custom tools and file parsers. It features a secure, sandbox-isolated runtime environment that executes untrusted code and plugin logic within resource-constrained c
Provides tools that use metadata or schema definitions to automatically generate user interfaces and validate settings.
Keystone Classic is a Node.js headless content management system and web application framework. It provides a database schema framework for defining structured data models and validation rules to organize information. The system automatically generates a responsive administrative dashboard based on predefined data models and database fields, allowing for content management and record editing without custom administration code. The framework covers identity and security through session state management and password encryption. It includes capabilities for request routing, form submission proc
Automatically constructs a responsive administrative management dashboard by inspecting predefined database model definitions.
Lark CLI is a terminal-based tool designed for automating tasks and managing resources across the Lark and Feishu productivity ecosystem. It functions as a cloud workspace automator and REST API client, providing a command line interface to programmatically manage organizational documents, calendars, emails, and tasks. The project distinguishes itself through an AI agent skill framework that allows for the integration and deployment of both bundled and custom skills. It features an identity-aware execution context that enables switching between user and bot identities, and employs a sidecar-b
Automatically derives commands from API definitions to ensure parameters and response structures align with requirements.
Formily is a schema-driven framework designed for building complex web forms by decoupling business logic and validation rules from the underlying user interface. It utilizes a declarative JSON schema to define form structures, allowing developers to manage data collection and field interactions independently of specific component libraries or frontend frameworks. The system is built upon a reactive observable state engine that synchronizes form data, validation status, and field interactions in real time. By employing a recursive tree traversal and a centralized event bus, the engine manages
Generates dynamic form interfaces and validation logic from standardized JSON schema definitions.
This project is a comprehensive suite of AI tools and frameworks, featuring an LLM multi-agent orchestrator, an autonomous agent runtime, and a stateful application framework. It provides the infrastructure to build and manage specialized AI agents capable of coordinating complex tasks through graph-based workflows and shared state. The system is distinguished by its implementation of the Model Context Protocol, allowing for standardized resource discovery and communication between AI clients and servers. It further includes an AI-powered documentation generator designed to analyze source cod
Automatically transforms Python functions into CLI commands using decorators for input parsing and validation.
This framework serves as a bridge between backend services and AI agents by implementing the Model Context Protocol. It enables developers to expose existing application logic and web endpoints as standardized tools, allowing AI models to discover, interact with, and execute backend functions through a unified interface. The project distinguishes itself by automatically converting application request and response models into protocol-compliant schemas, ensuring that AI agents receive accurate functional context. It supports a transport-agnostic architecture that facilitates real-time bidirect
Automatically converts application request and response models into protocol-compliant schemas for AI agents.
ffmpeg-python is a Python wrapper that translates programmatic method calls into command-line arguments for executing FFmpeg media processing tasks. It functions as a multimedia transcoding interface and a media stream capture tool, allowing for the recording of live audio and video from hardware devices and network sources. The library features a fluent interface for constructing complex directed graphs of audio and video filters through method chaining. It also includes an FFprobe metadata extractor that retrieves structured technical properties from media files and returns them as Python d
Generates a command-line string from a filter graph for inspection or manual execution.