MockHero.dev
Faker
Mockaroo
socketify.py
Realistic test data in one API call. Send a schema or plain English description, get back production-quality fake data with proper names, valid formats, and referential integrity.
MockHero.dev socketify.pyMockHero.dev's answer
MockHero generates multi-table relational data in a single API call with automatic foreign key ordering. Other tools generate flat tables โ MockHero's topological sort ensures orders reference real users, reviews link to real products. Plus it ships as an MCP server so AI coding agents can seed databases directly.
MockHero.dev's answer
Faker requires you to wire foreign keys manually. Mockaroo can't do multi-table in one request. Tonic.ai needs your production data. MockHero generates realistic relational data from a schema definition in one API call โ no production data needed, no manual FK wiring, sub-50ms.
MockHero.dev's answer
We just launched โ focused on individual developers and small teams building with Supabase, Neon, Prisma, and other modern stacks. Early adopters are using MockHero through the MCP server in Claude Code and Cursor.
MockHero.dev's answer
Developers who need realistic test data for development, testing, and CI/CD. Backend developers seeding databases, frontend developers building UIs with realistic data, QA teams writing integration tests, and AI coding agents that need to populate databases autonomously.
MockHero.dev's answer
Built out of frustration with writing seed scripts by hand. Every new project needs test data, and every time it's the same tedious process โ create users, then orders that reference those users, then reviews that reference both. MockHero makes it one API call.
MockHero.dev's answer
Next.js 15, TypeScript, Supabase (PostgreSQL), Clerk authentication, Vercel hosting. The MCP server uses the Model Context Protocol SDK. Data generation engine is custom-built with topological sort for relational integrity.
Based on our record, socketify.py seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
Faker - Faker is a PHP library that generates fake data for you
Mockaroo - A realistic data generator to test your app
