How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Easy Mock is a tool for API mocking and simulation that allows for the creation of fake server responses using schemas. It enables the generation of mock API data and the implementation of OpenAPI specifications to align development with technical contracts.
The main features of easy-mock/easy-mock are: API Mocking Servers, Mock Data Generators, Environment Bootstrapping, API Specification Importers, Mock Environment Generators, Environment Scaffolding, API Mocking, Collaborative API Workspaces.
Open-source alternatives to easy-mock/easy-mock include: mockoon/mockoon — Mockoon is an HTTP API simulation platform and design tool used to create fake API endpoints that simulate server… typicode/json-server — json-server is a development toolset used to simulate a full REST API from a JSON file. It functions as a customizable… miragejs/miragejs — Mirage JS is a browser-based mock server and client-side API simulator designed for JavaScript application… ymfe/yapi — yapi is an API management platform designed to coordinate the development of RESTful APIs between frontend, backend,… intuit/karate — Karate is an end-to-end testing framework and API test automation tool used to validate REST and SOAP APIs, drive… chimurai/http-proxy-middleware — This project is a Node.js HTTP reverse proxy middleware designed to route incoming HTTP and WebSocket traffic to…
Mockoon is an HTTP API simulation platform and design tool used to create fake API endpoints that simulate server responses without a backend. It functions as an OpenAPI mock server tool and a JSON API mocking utility, allowing for the rapid iteration of API contracts and the generation of response templates. The project distinguishes itself through a combination of stateful mocking, using a local JSON database to simulate CRUD operations, and the ability to run as a headless API mock server via a command line interface. It supports real-time collaborative editing and AI-assisted prototyping
json-server is a development toolset used to simulate a full REST API from a JSON file. It functions as a customizable mock API server that allows for the simulation of CRUD operations and resource relationships without the need to write backend code. The project enables rapid prototyping by generating a fake backend that persists data changes back to a local JSON file. It distinguishes itself by providing a static asset file server to deliver local documents, images, and stylesheets alongside the mock API endpoints. The server includes capabilities for data querying, such as parameter-based
Mirage JS is a browser-based mock server and client-side API simulator designed for JavaScript application development. It functions as a mocking tool that intercepts network requests to simulate backend API behavior, allowing developers to build and test frontend interfaces without requiring live backend infrastructure. The tool provides a simulation layer that mimics REST endpoints to facilitate rapid prototyping of user flows and application logic. It enables the creation of fake server responses directly within the web browser to verify how an application handles various data scenarios an
yapi is an API management platform designed to coordinate the development of RESTful APIs between frontend, backend, and quality assurance teams. It functions as a centralized system for documenting interface specifications, simulating server responses, and validating requests through a built-in testing client. The platform features an API code generator that transforms interface specifications into typed request functions and data models across multiple programming languages. It also includes a mock server capable of generating synthetic responses using schema-based generators and rule-based