:recycle: Visual Regression Testing tool
- visual-tests
- nodejs
- regression-testing
- automation-tests
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:recycle: Visual Regression Testing tool
Embedded unit testing framework for Godot 4 supporting GDScript and C#. Features test-driven development, embedded test inspector, extensive assertions, mocking, scene testing.
A collection of utilities for creating/testing/experimenting with service workers.
Random Testing for .NET
Hercules is the world’s first open-source testing agent, enabling UI, API, Security, Accessibility, and Visual validations – all without code or maintenance. Automate testing effortlessly and let Hercules handle the heavy lifting! ⚡
Mock Alamofire and URLSession requests without touching your code implementation
The XCTest Project, A Swift core library for providing unit test support
A unit testing framework for C
A library that creates fully populated objects for your unit tests.
RSpec tests for your AWS resources.
QuickCheck for Clojure
JVM version of Pact. Enables consumer driven contract testing, providing a mock service and DSL for the consumer project, and interaction playback and verification for the service provider project.
:heavy_check_mark: PHP Test Framework for Freedom, Truth, and Justice
Compare JSON in your Unit Tests
TranslatedRun mini programs in the browser using WeChat's official base library, with support for Chrome DevTools debugging and Playwright E2E testing
A friendly car security exploration tool for the CAN bus
Test command-line applications with Cucumber-Ruby, RSpec or Minitest.
The instafailing RSpec progress bar formatter
Angora is a mutation-based fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without symbolic execution.
🎠 Because TDD is awesome
Data generation and property-based testing for Elixir. 🔮
PropEr: a QuickCheck-inspired property-based testing tool for Erlang
Machine.Specifications is a Context/Specification framework for .NET that removes language noise and simplifies tests.
🎯🗯 Dataset generation for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!