Mock Data Python Packages

misata

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.

plumb-line-provenance

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.

fabulist

Generate random strings that make sense.

loremfile

Free, CC0 sample files & test fixtures with stable, hotlinkable URLs - PDFs, images, audio, video, office docs, data files, archives, fonts, and edge cases. Lorem Picsum, but for every file type.

lsstdesc-gcr-catalogs

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

seedfaker

Deterministic synthetic data generator for realistic, correlated, and noisy test records across 68 locales. Rust CLI/Python/Node.js/Browser WASM/Go/PHP/Ruby/MCP

verisim

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.

pydni

Librería en Python para la validación y generación de documentos de identidad españoles (DNI, NIE, CIF, NIF), así como la creación de nombres y personas ficticias válidas para entornos de desarrollo, QA y pruebas automatizadas.

mostlyai-mock

Synthetic Mock Data 🔮

phoney

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

card-generator

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.

eventum-generator

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

eventum-core

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

fakedata-python

The fakedata package generates realistic synthetic user profiles for machine learning, deep learning, data analysis, and data science workflows.

lokii

Generate, Load, Develop and Test with consistent relational datasets!

pyfake

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

fakeverse

Coherent fake data themed by works of fiction: people, addresses and organizations from The Lord of the Rings, Star Wars and more. Python package, Faker provider, CLI and HTTP API.

cosmo-learn

Python code for learning cosmology using different methods and mock data

leblanc

leblanc is a modular Python library designed for the rapid generation of large-scale synthetic datasets across various business sectors. It is primarily built using Pandas, NumPy, and Faker to create realistic, structured DataFrames suitable for Data Science training, testing, and exploratory data analysis (EDA).

faker-geoscience

Fake data generators for everything Earth (and beyond!)

mock-fastq-generator

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

larzfaker

Deterministic, seedable fake data (names, emails, money, dates, records) for tests, demos, and seeds. Pure Python, zero dependencies.

pirated-data

This package will gives you random data of user. It can be used for mock data and used for sample data.