Data format samples

gofakeit is a Go library for creating realistic synthetic datasets and populating Go structs with mock information. It functions as a deterministic data generator, allowing for seedable random number generation to ensure reproducible datasets for software testing. The project distinguishes itself by providing a mock data API server that exposes generation functions as HTTP endpoints and a synthetic dataset exporter for producing files in CSV, JSON, and XML formats. It also includes a command-line interface for generating mock data directly from the terminal. The library covers a wide array o

This project is a public health dataset providing historical and real-time COVID-19 case and death counts across the United States. It consists of a collection of CSV files containing time-series pandemic data organized by date, state, and county. The dataset includes specialized records for institutional outbreaks, tracking infection and death rates within correctional facilities, colleges, and universities. It also provides statistics on excess mortality to estimate total pandemic impact and survey-based data on mask usage prevalence across different counties. To facilitate geographic anal

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

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

This project is an API documentation management platform and mocking server. It provides a central system for organizing API specifications and managing metadata to maintain consistency across the development lifecycle. The toolset includes a mocking engine that generates simulated backend responses, allowing frontend development to proceed without a live backend service. It also functions as a static documentation generator that converts dynamic API specifications into offline files for distribution and archival. The platform is delivered as a containerized toolset, packaging the server and

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 project supports collaborative API design through a shared workspace where team members can synchronize and manage mock endpoints. It also features specification-driven bootstrapping, which automatically constructs mock environments by importing standard API definition files. The system provides API development proxying to forward re

Easy-dataset is a comprehensive platform designed for the end-to-end management of machine learning datasets, specifically tailored for language and vision model fine-tuning. It functions as a centralized environment for the entire data lifecycle, encompassing the automated generation of synthetic training data, the structural organization of document collections, and the systematic annotation of individual data points. The platform distinguishes itself through its integrated evaluation and orchestration capabilities. It provides a dedicated suite for benchmarking models, featuring blind side

Karate is an end-to-end testing framework and API test automation tool used to validate REST and SOAP APIs, drive browser interactions, and measure system performance. It functions as a unified solution for executing automated tests across both API backends and web frontends. The framework utilizes a custom domain specific language and Gherkin-style feature mapping to define requests and assertions. It includes an API mocking server to simulate backend responses, enabling development and integration testing without live dependencies. The tool covers a broad range of functional testing catego

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

MSW is a JavaScript API mocking library and integration testing tool designed to intercept network requests at the network level. It allows for the definition of mock data and status codes using routing syntax to simulate server responses without requiring changes to the application source code. The project utilizes a service worker to proxy API calls in the browser, providing a mechanism for isolated frontend development and testing. It employs platform-specific network adapters to maintain a consistent mocking interface across both browser and Node.js environments. The library covers a ran

JSONPlaceholder is a REST API mock server and JSON mocking service that provides a hosted frontend development sandbox. It functions as a fake backend that returns predefined JSON responses to simulate a REST API for development and testing. The service supports cross-origin resource sharing, allowing API integrations to be tested from different browser domains. It enables the simulation of CRUD operations and the retrieval of mock data without requiring a live database. The system maps URL patterns to a static JSON-based data store and handles requests statelessly. It includes capabilities