Projects sharing features with Keploy

Locust is a distributed performance testing framework that allows users to define complex system stress scenarios using standard Python code. By modeling concurrent users as classes with weighted tasks and lifecycle hooks, it enables the simulation of realistic user behavior across large-scale environments. The tool functions as a scalable load generator capable of orchestrating traffic across multiple worker nodes to measure system stability and responsiveness under heavy, real-world conditions. The framework is distinguished by its protocol-agnostic architecture, which supports diverse comm

Mizu is a suite of tools for capturing, indexing, and visualizing cloud-native network traffic and decrypted payloads for cluster-wide diagnostics. It provides Kubernetes network observability by using eBPF to index and visualize layer 4 and layer 7 traffic with full cluster context, allowing for the mapping of workload dependencies and the diagnosis of network failures. The project distinguishes itself by using kernel-level hooks to decrypt TLS traffic in plain text without requiring private keys. It further integrates a standardized context protocol to expose indexed network telemetry to AI

Sinon is a JavaScript test double library and mocking framework used to isolate code and verify behavior during unit testing. It provides a collection of spies, stubs, and mocks that replace real function implementations and object methods with controlled substitutes. The project includes a specialized fake timer library for overriding the system clock, allowing the simulation of time progression to trigger timeouts and intervals without waiting for real-time delays. It also features a test sandbox mechanism to group multiple fakes together, ensuring the original state is restored between tes

Newman is a headless API client and command line tool for executing Postman collections. It serves as an API test automation tool and execution engine that allows users to run predefined sets of API requests without a graphical interface. The project differentiates itself as a data-driven testing engine, capable of iterating through request sequences using external JSON or CSV files to validate multiple sets of input values. It also functions as an API execution reporter, utilizing a plugin-based interface to output results in formats such as JSON and JUnit. The tool covers broad capability

Testcontainers for .NET is a Docker testing library and integration testing framework designed to manage the lifecycle of throwaway containers. It provides high-level abstractions as a Docker API wrapper to provision ephemeral infrastructure, replacing mocks with real database, messaging, and search engine instances to ensure isolated and reproducible test environments. The project distinguishes itself through a builder-configuration-container pattern and a dynamic port binding mechanism that prevents collisions during concurrent test execution. It enables reliable service-to-service communic

This project is an educational platform and tutorial series designed to teach the Go programming language through the practice of test-driven development. It provides a structured path for developers to master language fundamentals, concurrency, and standard library usage by building functional applications in small, verifiable increments. The core methodology centers on the test-driven development cycle, where failing tests are written before implementation to define requirements and ensure code correctness. This approach is applied across a wide range of practical scenarios, including the c

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

Apache JMeter is a Java-based performance testing tool and multi-protocol traffic simulator used to analyze the stability and scalability of servers and networks. It functions as a distributed load testing framework that coordinates remote worker nodes from a single controller to generate high volumes of concurrent traffic. The project is distinguished by its ability to simulate traffic across diverse backend systems, including HTTP, JDBC, LDAP, JMS, FTP, and TCP. It provides a headless command-line interface for automated execution and a reporting system that transforms raw sample logs into

F Prime is a component-based framework designed for the development and deployment of embedded and spaceflight software. It provides a modular architecture that decouples software logic from communication interfaces, allowing developers to define system structures through a domain-specific modeling language. This model-based approach enables automated code generation, ensuring consistency across complex system topologies while maintaining strict interface contracts between software modules. The framework distinguishes itself through its integrated build system and ground data operations suite

Schemathesis is a property-based testing tool and fuzzer for schema-based APIs. It analyzes OpenAPI and JSON Schema specifications to automatically generate test cases that identify crashes, schema violations, and validation bypasses. The project functions as a contract validator and security scanner, verifying that a live server strictly adheres to its defined specifications. The framework distinguishes itself through stateful API testing, which chains multiple related requests together to uncover bugs that only emerge during complex, multi-step user workflows. It also utilizes response-driv

Bruno is a local-first API client designed for building, testing, and managing network requests across a wide range of protocols. By storing all collections and configurations as plain-text files directly on the local filesystem, it enables native version control and offline access, ensuring that project data remains under user control without requiring cloud synchronization. The platform distinguishes itself through a declarative approach to API management, utilizing a domain-specific language to define request parameters and metadata. This architecture supports a robust testing environment

SonarQube is a static code analysis platform used to scan source code and infrastructure scripts across multiple languages. It detects bugs, security vulnerabilities, and maintainability issues to ensure software meets reliability and security standards. The platform implements automated quality gates for continuous integration and delivery pipelines, verifying code against defined rules during merge or pull requests. It also integrates directly with code editors to provide real-time analysis results and quick-fix guidance during development. The system covers broad functional areas includin

React Doctor is a static analysis tool for React codebases designed to identify security, performance, and architectural issues. It functions as a codebase health diagnostic engine that produces numeric health scores and structured diagnostics to improve maintainability. The tool features an incremental code scanner that evaluates only the files changed between branches or staged in the working tree to provide fast feedback. It is designed to operate as a quality gate within CI pipelines, allowing for the enforcement of codebase health standards by failing builds on critical errors. The anal

GoReplay is a network traffic recording and replay tool used to capture live HTTP and binary protocol requests. It functions as a traffic shadowing proxy that duplicates incoming network requests to test environments and a utility for recording traffic to local or cloud storage for later analysis and playback. The system is capable of processing non-textual data formats, such as Thrift and Protocol Buffers, allowing for the capture and replay of specialized application-to-application communication. The tool supports live traffic capture and asynchronous duplication to validate infrastructure

Deepeval is a framework for testing and evaluating large language model applications. It provides a suite of tools for executing automated regression tests, validating model output quality against defined standards, and tracing the execution of complex agent workflows. By integrating these capabilities into development pipelines, the platform ensures consistent performance and reliability throughout the software lifecycle. The platform distinguishes itself through its focus on programmatic validation and observability. It utilizes secondary language models to score output quality and employs

This is a dependency injection framework and inversion of control container for Python. It decouples object creation from business logic by managing how services and their dependencies are assembled, delivered, and linked within an application. The framework is distinguished by its ability to perform automated component wiring, using import hooks and decorators to inject dependencies into functions and classes across different modules. It supports non-blocking flows through an asynchronous dependency resolver and manages the initialization and shutdown sequences of shared external resources a

This project is a comprehensive guide and collection of best practices for testing Node.js backend applications. It provides a curated set of patterns and reference examples for writing reliable unit, integration, and component tests. The project distinguishes itself through specific strategies for backend integration, including detailed methods for API contract testing against OpenAPI specifications and shared schemas. It offers specialized guidance on managing message queue testing, focusing on idempotency, resilience, and asynchronous event synchronization. The guide covers a broad range

Lychee is a command line link checker written in Rust that scans websites and local files to identify broken hyperlinks and invalid email addresses. It functions as an asynchronous link validator and static site auditor designed to ensure content accessibility and quality. The tool features disk-based response caching to accelerate subsequent scans and avoid redundant network requests. It supports token-based API authentication for services like GitHub to bypass rate limits when verifying links on remote repositories. The project covers a range of capabilities including multi-format content

xunit is a unit testing framework for the .NET ecosystem designed to execute isolated code units and report failures across multiple platforms. It functions as a data-driven test runner and a native AOT test suite, capable of verifying compiled binaries and standalone executables after ahead-of-time compilation. The framework utilizes build-time source generators for test discovery to define test cases without relying on runtime reflection. It also features an extensible reporting system where custom logic can be linked into test assemblies to output results in specialized formats. The proje

Ava is a test runner for JavaScript and TypeScript designed to execute test suites with a focus on concurrency and isolation. It serves as a concurrent test executor that runs test files in parallel across multiple processes to reduce total runtime and prevent state leakage between suites. The project features a built-in snapshot testing framework that saves large data structures to disk and compares subsequent executions to detect regressions via diffs. It is also compatible with the Test Anything Protocol, allowing it to export results for use with external reporting tools. Its capability

Maestro is a declarative mobile and web UI automation framework designed for end-to-end testing. It operates by querying the native accessibility tree of an application, allowing for black-box testing without requiring source code instrumentation or platform-specific dependencies. The framework distinguishes itself through a unified command syntax that abstracts interactions across Android, iOS, and web environments. It features a dynamic synchronization engine that automatically pauses test execution to account for non-deterministic animations and network-dependent content loading, ensuring

The Rust Programming Language Book is the official technical guide and educational resource for the Rust language. It provides a comprehensive walkthrough of the language's design, focusing on its core identity as a systems programming language that enforces memory safety and high-performance execution without the need for a garbage collector. The project is distinguished by its focus on ownership, borrowing, and lifetime tracking, which allow the compiler to verify memory safety and thread safety at compile time. It covers the language's unique approach to zero-cost abstractions, including t

Moq is a .NET mocking framework and C# library used to create simulated objects and interfaces. Its primary purpose is to isolate code from external dependencies during unit testing by providing a system for interface simulation and behavioral testing. The framework distinguishes itself through the use of functional specification queries and LINQ-based querying to create declarative mocks. It supports the simulation of complex scenarios, including the automatic generation of recursive mock hierarchies, the implementation of multiple interfaces within a single mock instance, and the ability to

Cargo is the official build system and package manager for the Rust programming language. It provides a unified command-line interface that orchestrates the entire development lifecycle, including compiling source code, managing complex dependency graphs, running tests, and distributing packages through a centralized registry. By utilizing declarative manifest files, it ensures that builds remain reproducible and consistent across different environments. The tool distinguishes itself through its deep integration with the Rust compiler and its sophisticated approach to project management. It f

QUnit is a JavaScript unit testing framework designed to verify code behavior using assertions and lifecycle hooks across browsers and server runtimes. It functions as a browser-based test runner with an HTML interface for reporting results, an asynchronous test orchestrator for coordinating callbacks, and a utility for isolating and verifying document object model changes. The framework distinguishes itself through specialized DOM testing capabilities, allowing for the isolation and resetting of the document object model between tests to ensure atomicity. It also features a system for detect

CodeceptJS is a NodeJS end-to-end testing framework designed for automating acceptance tests across web, mobile, and desktop applications using a unified API. It serves as a cross-platform test automator and a behavior-driven development tool that maps human-readable feature files to technical step definitions. The framework features AI-powered test maintenance that uses machine learning to automatically identify and repair broken element selectors. It includes capabilities for autonomous test generation and a server that allows external agents to control tests and debug browser sessions in r

nextest is a high-performance test execution framework and Rust test runner designed to manage parallelism, retries, and timeouts. It serves as a test recording system that captures execution metadata and outputs into archives for later failure analysis and replay. The project distinguishes itself as a flakiness detection tool, identifying unstable tests through stress loops and automated retry policies. It also functions as a CI test orchestrator, capable of partitioning test suites across multiple workers and exporting results in standardized JUnit XML and JSON formats. The framework provi