A Clojure property-based testing library inspired by QuickCheck for writing concise, powerful tests.
test.check is a property-based testing library for Clojure inspired by Haskell's QuickCheck. It allows developers to write tests by defining properties that should hold true for all possible inputs, automatically generating random test cases to verify these properties. This approach helps uncover edge cases and ensures more comprehensive test coverage than traditional example-based testing.
Clojure and ClojureScript developers who want to write more robust tests, particularly those working on libraries, data processing code, or systems where edge cases are critical to identify.
Developers choose test.check because it provides a more powerful testing paradigm than traditional unit tests, automatically generating diverse test cases and shrinking failures to minimal examples. It's the standard property-based testing solution in the Clojure ecosystem with strong community adoption and documentation.
QuickCheck for Clojure
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Enables testing logical properties that should hold for all inputs, moving beyond specific examples to uncover edge cases, as highlighted in the README's philosophy section.
Generates random test cases automatically, providing diverse input coverage without manual enumeration, which is a core feature mentioned in the README.
Automatically reduces failing test cases to minimal reproducible examples, simplifying debugging, as specified in the README's key features.
Works with both Clojure and ClojureScript codebases, allowing property-based testing across different environments, as noted in the README.
Allows creation of custom generators for complex data structures and domain-specific types, making it adaptable to various use cases, per the README.
Property-based testing requires a shift in mindset from example-based testing, which can be challenging for developers new to the paradigm, and the README lacks beginner-friendly tutorials.
Random generation and shrinking processes can be computationally intensive, potentially slowing down test suites, especially for large-scale or performance-sensitive applications.
While functional, it lacks advanced reporting or GUI tools out-of-the-box, relying on external libraries for enhanced features, as hinted in the README's 'Useful Libraries' section.
Past releases have included breaking changes, such as the ClojureScript change in version 0.8.*, which can disrupt existing test suites, as noted in the README.