REST Assured
rest-assured.ioA Java DSL for sending REST requests from tests and asserting response status and data.
A Java DSL for sending REST requests from tests and asserting response status and data.
AI agents test live web and mobile apps on every pull request
A real-device testing platform for mobile and web apps, with cloud device labs and an on-premises option.
Enterprise platform for testing, monitoring and evaluating AI systems in production
Heatmaps, recordings and experiments for website decisions
A JavaScript testing framework with readable behavior-driven specs and a Node command-line workflow.
Turn Gherkin behavior examples into executable acceptance checks for PHP applications.
SmartBear's Jira test-management app organizes cases, cycles and results, with optional no-code automation.
Turns API definitions and collections into mocks, then runs contract-conformance and non-regression tests.
Inject controlled faults into Kubernetes workloads to test recovery and resilience.
Write C++ tests and mocks, then build them into the project's test runner.
A YAML-based CLI for asserting the installed packages, services, files, ports, and other state of a system.
Inject controlled failures into services and infrastructure to test reliability and recovery behavior.
Run Ruby acceptance scenarios written in Gherkin and connect their steps to project code.
A client-side workflow tool for building, testing, and deploying Kubernetes applications.
A hosted test-management workspace that brings manual runs and automated results into one QA reporting view.
A local API-mocking desktop app and CLI for replacing live services during development and tests.
Generate trading rules and test how their results withstand changes
Run your existing automated browser tests on BrowserStack's hosted browser grid.
Record browser journeys and turn them into editable web end-to-end tests.
A DAST scanner for finding and validating exploitable vulnerabilities in web applications and APIs.
A Kubernetes-oriented chaos engineering platform for running fault experiments and checking whether workloads stay healthy.
Develop Python in a project-aware desktop IDE with a debugger, test runner, and optional coding-agent tools.
A Windows Python IDE pairing a script editor with an interpreter, debugger, project tools and unit-test interface.