Hypothesis is a powerful library for property-based testing in Python. Instead of writing specific test cases, users define properties and Hypothesis generates random inputs to uncover edge cases and bugs. It integrates with unittest and pytest, shrinking failing examples to minimal reproducible cases. Widely adopted in production systems, Hypothesis boosts code reliability by exploring input spaces far beyond manually crafted tests.
Features
- Property-based test generation
- Customizable strategies for complex data
- Input shrinking to simplify failing cases
- Integration with pytest and unittest
- State Machine testing for stateful systems
- Replays random seeds for reproducibility
Project Samples
Categories
LibrariesLicense
MIT LicenseFollow Hypothesis
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