Gopter vs Hypothesis
Gopter
github.comHypothesis
hypothesis.worksSide by side
| Figure | Gopter | Hypothesis |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 2 | 0 |
| Spec score · Property-Based Testing Tools | 8.6 (#2) | 7.4 (#15) |
| Stateful testing | Gopter supports stateful tests. | Rule-based state machines let Hypothesis generate sequences of operations to test stateful systems and objects. |
Plans
In their own words
Gopter
Gopter is a free Go module for property-based testing. It creates properties from conditions and generated inputs, then checks whether those properties hold. Its generators provide more control than Go's testing/quick package and can be composed with operations such as Map, FlatMap, SuchThat, and WithShrinker. When a property fails, shrinkers seek a smaller value that still demonstrates the failure. Gopter also includes a generator for regular-expression matches and supports stateful tests based on arbitrary commands. Properties can run with Go's testing.T through TestingRun, and the gopter/convey package provides helpers for using Gopter inside GoConvey tests. Console and formatted reporters present test results. The project declares Go 1.20 and is distributed under the MIT License. Its documentation covers the gopter, gen, prop, arbitrary, commands, and convey packages. The README identifies two omissions: ScalaCheck's Pretty feature is not provided, and parallel commands are not available yet.
Hypothesis
Hypothesis is a free property-based testing library for Python. You describe behavior that your code should satisfy, and it generates inputs—including edge cases—to explore whether those properties hold. Strategies let you define and combine the data used in tests. When a failure appears, Hypothesis reports an example and tries to simplify it; failing examples are stored in a local test database for replay in later runs. Tests run as ordinary Python functions within pytest, unittest, nose, or another framework that can run a Python function. Hypothesis is not itself a test runner. By default, it generates 100 random inputs per test, and max_examples controls that count. Rule-based state machines can generate sequences of operations for testing stateful systems and objects. The project supports and tests CPython and PyPy 3.10 and later, and says it regularly works on Linux, macOS, Windows, and Emscripten. Its compatibility policy supports only the newest Hypothesis version; undocumented behavior may change in patch releases.