Mockoon is the easiest and quickest way to run mock APIs locally. No remote deployment, no account required, open source.

🌉数据服务层解决方案

mocker-api that creates mocks for REST APIs. It will be helpful when you try to test your application without the actual REST API server.

A simplified way to generate masive mock data based on a schema, you can use the awesome fake/random data generators like (FakerJs, ChanceJs, CasualJs and RandExpJs)

🚀 React application framework inspired by UmiJS / 类 UmiJS 的 React 应用框架

Node plugin that provides the ability to use scenario based api mocking: for local development for protractor testing

Start using Mockoon in no time with popular APIs mock samples.

Mockoon application official website repository and documentation

Multi-agent trading desk on Next.js — Alpaca paper trading, NDJSON pipeline, OpenAI-ready mocks

🌚 A library to create and export mock data with your rules.

Tool to generate random data from a Sagger/OpenAPI spec

A lightweight utility for generating random test data of requested types. Designed to minimize the Arrange phase in unit tests, this tool helps you quickly create objects, method arguments, and DTOs with realistic randomized values. By reducing boilerplate setup code, it improves test readability, maintainability, and speed of development.

Mock MCP Server - AI-driven mock data orchestration with OpenAPI JSON Schema for testing

Mito admin demo with msw

Model Context Protocol (MCP) server for generating fake/mock data using Faker.js

mocking-bird provides a set of simple, yet accurate and context-aware fixture generation tools for schema or database models. Currently mongoose and graphql fixture generation is supported

A powerful and flexible tool for managing mock data

A powerful and lightweight npm package for working with structured blog post data, featuring 200+ dummy posts out of the box. Includes built-in pagination, categorization, fuzzy search, and full TypeScript support. Perfect for static blogs, CMS backends, or frontend demos.

Generate lore-accurate personas from pop culture with no cross-universe mixing for demos and mockups. Breaking Bad, Harry Potter, Game of Thrones, and more.

The system is currently hosted on Firebase, but its modular architecture is ready for future deployment on AWS, using EC2 for hosting, S3 for storage, and DynamoDB with Lambda for serverless services.