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

Project Activity

See All Activity >

Categories

Libraries

License

MIT License

Follow Hypothesis

Hypothesis Web Site

Other Useful Business Software
AI-powered service management for IT and enterprise teams Icon
AI-powered service management for IT and enterprise teams

Enterprise-grade ITSM, for every business

Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
Try it Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Hypothesis!

Additional Project Details

Programming Language

Python

Related Categories

Python Libraries

Registered

2025-07-03