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Route test traffic through a controllable TCP proxy to simulate latency, outages and other network faults.

Build functional tests for SOAP and REST services from API requests and response assertions.

A cloud grid for running browser and mobile application tests on remote devices.

AI agentic testing cloud for web, mobile, chat, voice and IVR

Test mobile and web applications manually or with automation on hosted devices and browsers.

Organize .NET unit and integration checks with test attributes, assertions, and async test methods.

Creates API and integration regression tests from API specifications or recorded application traffic.

A container-level chaos tool for disrupting Docker, containerd and Podman workloads with lifecycle, network and resource faults.

Model Kubernetes builds, deployments, tests, and local development as a dependency-aware action graph.

Generate Java unit-test code from IntelliJ classes and methods, with CLI and CI options in paid editions.

Bring manual cases, exploratory sessions and automated test results into one QA workspace.

API testing client for desktop, terminal, and web.

Scan project dependencies for publicly disclosed vulnerabilities and review the resulting component report.

Mock HTTP dependencies, inspect traffic, and verify requests in integration tests.

Build hosted API simulations to test applications without waiting on live dependencies.

A Python property-based testing library that generates inputs to challenge the properties your code should preserve.

A Java testing library that starts disposable Dockerized dependencies for integration tests.

Compare application screenshots with approved visual baselines in automated UI tests.

Records web and mobile user flows as hosted automated tests, with AI prompts and run diagnostics.

Use mutation testing to see whether a JVM test suite catches deliberately changed code.

A Go library for verifying infrastructure code by deploying it, checking behavior, and cleaning up resources.

A TAP-compliant test framework for checking Bash scripts and command-line programs.

Check whether independently developed services agree on the HTTP and message contracts they use.

Model performance scenarios for applications and APIs, generate virtual-user load and analyze run results.