Faker is a Python package that generates fake data for you.
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Updated
Nov 14, 2024 - 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
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
Mimesis integration with the pytest test runner. This plugin provider useful fixtures based on providers from Mimesis.
Ratio.py is a small command line RatioMaster.Net like in Python3. It fakes upload stats of a torrent.
🥪🏭 A simple CLI for generating synthetic Jaffle Shop data.
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.)
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