Quick/Quick

Nimble is a matcher framework and assertion library designed for Swift and Objective-C unit tests. It extends standard testing frameworks to provide a domain-specific language for writing descriptive and readable assertions. The project provides utilities for behavior driven development and asynchronous state verification. This includes the ability to wait for expressions to match specific values over a set period of time to verify timing-dependent behavior. The framework covers general test automation and validation for Swift and Objective-C projects, allowing developers to compare code exp

Jasmine is a JavaScript testing framework and test runner designed for behavior-driven development. It provides a comprehensive toolset for writing and executing descriptive test suites that verify code behavior in both web browsers and Node.js environments. The framework is distinguished by its integrated mocking library, which allows for dependency isolation through spies and stubs, as well as the ability to simulate time and timing functions to test asynchronous logic synchronously. It also includes a mechanism to enforce test uniqueness, preventing duplicate names for tests and suites. I

Chai is an assertion library for Node.js and browser-based JavaScript applications. It functions as both a behavior-driven development and test-driven development framework, providing a system to verify code outputs, application state, and general logic. The project is an extensible validation engine that uses a plugin-based system to allow the registration of custom assertions and specialized data checks. It supports multiple modular assertion styles to accommodate different validation philosophies. The library covers a broad range of data validation capabilities, including the inspection o

Pester is a PowerShell testing framework and behavior-driven development tool used to write and run automated tests for scripts and modules. It defines and verifies software behavior through human-readable specifications to validate that code behaves as expected. The project includes a native mocking library that replaces real functions and commands with controlled implementations, allowing for the isolation of code and verification of command invocations without altering the system environment. It also functions as a code coverage tool that measures the percentage of executed lines during te