mock-data

Synthetic data that hits the numbers you declare, exactly. Multi-table with verified foreign-key integrity, deterministic, no model in the data path. Python + MCP server. In simple terms, a powerful demo data generator for sales/demos/seed data.

Python library to generate and validate credit card numbers. Features a fast, offline BIN lookup using a local database. Zero dependencies, no API keys needed. Perfect for generating test data.

Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk

A Python module that provides a unified interface to access mock galaxy catalogs and more for the LSST DESC

Synthetic Mock Data 🔮

Generate random strings that make sense.

Python generator for fake names, phone numbers, emails, birthdates, and locale-aware profiles. For tests, demos, and anonymized fixtures.

Allows you to create custom CSV files to generate mock data for testing and prototyping.

A minimal activitywatch client that generates fakedata

A ridiculously fast, asynchronous, and vectorized mock data generator for Python. Built with numpy and asyncio to blast hundreds of thousands of rows of localized fake data in seconds. Perfect for database seeding and data science. ⚡

A Flexible and Extensible fake data generator based on Pydantic models.

Stop uncertain data becoming confident-looking results. plumb-line carries provenance, confidence and mock-taint with values through JavaScript and Python, and its review-time checks and GitHub Action catch uncertainty laundered into a claim in AI-assisted code.

Fake data generators for everything Earth (and beyond!)

⚡ Blazing-fast Python fake/synthetic data generator — zero dependencies, 18M items/s, Faker-compatible. Test data, database seeding, mock APIs, 27 providers, 28 locales.

Free Open Source Mock Data Generator - A powerful desktop application and REST API for generating realistic fake data, test data, and sample data for testing, development, and prototyping.

A Python wrapper for the Mockaroo API 🦘 + 🐍.

🎩 Generate JSON/YAML/XML... mock data with a structured template

Generate synthetic observational datasets from quantum-geometry signatures for LIGO, EHT, and gravitational wave detectors with realistic noise models and instrument specifications

Verisim generates whole, coherent Pydantic domain objects instead of unrelated random fields. A generated person can have a name, username, email, phone, address, job, company, bio, website, and social profiles that all make sense together.

Generates randomly generated fastQ files from a template and upstream sequence.