Faker is a Python package that generates fake data for you.

Up-to-date simple useragent faker with real world database

create custom test databases that are populated with fake data

Datafaker is a large-scale test data and flow test data generation tool. Datafaker fakes data and inserts to varied data sources. 测试数据生成工具

Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines

Generate a boatload of Fake Apache Log files very quickly

Creates fake JSON files from a JSON schema

Create files with fake data. In many formats. With no efforts.

Generate fake data using joke2k's faker and your own schema

Because, sometimes, your Elephant must lie

Creates a Simulation of Fake Web Events

Generate CSV files with fake data from the command line

Ratio.py is a small command line RatioMaster.Net like in Python3. It fakes upload stats of a torrent.

Mimesis integration with the pytest test runner. This plugin provider useful fixtures based on providers from Mimesis.

Arquitetura CRM de Baixo Custo com Gen AI, projetada para startups que precisam processar e analisar dados de vendas de forma eficiente.

🥪🏭 A simple CLI for generating synthetic Jaffle Shop data.

🧠 Model-Driven test data generation platform enabling developers to create realistic, scalable, and privacy-compliant test data. Features model-driven data generation, GDPR compliance, and seamless Python integration.

a convenient way to anonymize your data for analytics

A Python library for generating and loading synthetic and real-world datasets tailored for graph-based applications.

Credit Score Provider for the Faker Python Project. Use this to generate fake but realistic-looking consumer credit scores aligning to the most prevalent risk models (FICO, VantageScore, etc.)