Faker is a Python package that generates fake data for you.
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Updated
Dec 17, 2025 - Python
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
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
AD 域控与数据通信网络的统一技术文档平台,覆盖架构设计、部署实施、安全加固与日常运维,帮助你快速搭建与维护稳定可靠的企业网络环境。
Creates fake JSON files from a JSON schema
Create files with fake data. In many formats. With no efforts.
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.
A Python library for generating and loading synthetic and real-world datasets tailored for graph-based applications.
🧠 Model-driven synthetic test data for CI/CD and analytics - deterministic, privacy-preserving, and domain-aware. Includes Python APIs, XML pipelines, and MCP/IDE integration to orchestrate realistic datasets for finance, healthcare, and other regulated environments.
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