Argos
argos-ci.comA visual testing service that compares screenshots and other snapshots from CI builds against a selected baseline.
A visual testing service that compares screenshots and other snapshots from CI builds against a selected baseline.
Compare application screenshots with approved visual baselines in automated UI tests.
Describe mobile and web UI journeys as YAML flows and run them on a real or virtual target.
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.
Write API, UI, performance, and mock tests in readable feature files using one test framework.
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.
Elixir's built-in unit-testing framework for test cases, assertions, callbacks, and doctests.
A dynamic application security testing service that scans web applications for vulnerabilities and supports follow-up remediation.
Load test websites, applications, and APIs with scripted browser or protocol bots, then inspect performance reports.
A desktop UI-test IDE that records, replays and reports tests against mobile apps, desktop programs and games.
Run JavaScript or TypeScript end-to-end tests against web applications in modern browsers.
Run JavaScript tests with built-in assertions and mocks for checking code behavior and dependency interactions.
Apple's Mac IDE for building, testing, debugging, and distributing apps for Apple platforms.
Automate GUI behavior tests for desktop, web, mobile, and embedded applications with object-based recognition.
Model-based end-to-end test automation for enterprise applications and business workflows.
Automate unit and regression testing for embedded C/C++ software, from test design to target execution and coverage analysis.
Mock HTTP services so application tests can exercise request and response behavior without a live dependency.
Author readable keyword-driven acceptance tests and run them from the command line with structured result reports.
Run a Python project's configured test and lint commands in isolated environment matrices.
Run saved Postman collection tests from a terminal or CI pipeline, and lint API specifications.
GPG-encrypted password files managed from a shell