PolyFactory
Mock data generation library for Python classes and Pydantic models.
- Status
- Generally available
- Last checked
- Checked · Oct 10, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
PolyFactory is a powerful mock data generation library that supports Python classes and Pydantic models, making it easier to generate test data for development and testing purposes. It continues the legacy of `pydantic-factories` with enhanced features and support.
PolyFactory stands out by offering robust support for Python classes and Pydantic models, making it an ideal choice for developers who need precise control over their test data generation.
When it fits — and when it doesn’t
A good fit for
Developers working with Pydantic models who need to generate consistent and realistic test data
Teams building Python applications that require extensive testing and validation
Projects where manual data creation is time-consuming or impractical
Look elsewhere if
Applications requiring real-time data generation (PolyFactory focuses on static mock data)
Scenarios where the generated data needs to be highly customized beyond what PolyFactory offers out-of-the-box
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited support for complex Pydantic models
Difficulties in generating mock data for nested and recursive models
- 02
Small community and limited third-party integrations
Few community contributions and plugins compared to more established libraries like Faker
What it does well
Support for Python classes and Pydantic models
Enhanced mock data generation capabilities
Seamless integration with existing codebases
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up PolyFactory
Setup steps, common gotchas and what to check after 30 days.
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