Awesome GitHub RepositoriesCross-Command Variable Sharing

Navi is an interactive command-line cheatsheet tool and shell command manager. It provides a fuzzy command browser that allows users to search and execute stored command-line snippets, reducing the need to memorize complex flags and arguments. The tool distinguishes itself through a system for importing and synchronizing command collections from remote Git repositories and third-party providers. It features interactive variable prompts that allow users to fill placeholders in commands via manual keyboard entry or selectable lists, including support for variable dependency mapping where one se

Karate is a Gherkin API testing framework and JVM test orchestrator designed for API validation, workflow automation, and browser automation. It provides a unified environment for executing scriptable logic on the Java Virtual Machine with thread-safe concurrent processing. The project includes a built-in HTTP mock server to simulate backend API behavior by delivering dynamic responses to intercepted requests. It also features a visual regression testing tool that detects interface changes by comparing screenshots against baseline images using pixel-matching analysis. The system supports API

Karate is an end-to-end testing framework and API test automation tool used to validate REST and SOAP APIs, drive browser interactions, and measure system performance. It functions as a unified solution for executing automated tests across both API backends and web frontends. The framework utilizes a custom domain specific language and Gherkin-style feature mapping to define requests and assertions. It includes an API mocking server to simulate backend responses, enabling development and integration testing without live dependencies. The tool covers a broad range of functional testing catego

Cucumber-js is a behavior-driven development tool and acceptance test automation framework for JavaScript. It serves as a test automation engine that allows users to define system behavior using human-readable scenarios, mapping plain-text steps to executable code to verify that software conforms to business rules and acceptance criteria. The project utilizes a Gherkin-based framework to create executable system documentation in natural language. It supports multi-language localization for writing scenarios in various spoken languages and provides tools for scenario parameterization and busin