Context-aware AI-powered database seeder for generating realistic test data.

Synthetic Data Generator is a modern web application for generating, editing, and exporting tabular data using AI and real-world datasets. It features an intelligent spreadsheet UI, natural language data requests, and seamless integration with Kaggle and Neon database..

A minimal alternative to FakerJS with zero dependencies, full tree-shaking support, and deterministic output. Perfect for testing, prototyping, and development.

🏛️ Generate realistic synthetic data for TypeScript with Gannicus, a powerful library that leverages AI for efficient and coherent data creation.

Generator of mock data through a schema

Simulon API is a HTTP server for generating fake data

🏛️ LLM-powered synthetic data generation for TypeScript. Built with Bun, powered by Ollama.

"Dataherd-Raika is a library designed to simulate large-scale user behavior datasets. It takes a single user event (like a click or keyword input) and, by applying simple probability distributions and custom variables, expands it into a vast dataset."

Generate realistic test responses for Google Forms - perfect for researchers, students, and QA testing

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

A modern, type-safe rework of MirageJS focusing on ORM capabilities with a fresh API and the same philosophy.

Mockingbird is a mock streaming data generator

A powerful, feature-rich, random test data generator.