Zephyr (formerly Zephyr Scale)
smartbear.comSmartBear's Jira test-management app organizes cases, cycles and results, with optional no-code automation.
SmartBear's Jira test-management app organizes cases, cycles and results, with optional no-code automation.
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.
Run Ruby acceptance scenarios written in Gherkin and connect their steps to project code.
Vector search engine for AI retrieval, with open-source and managed cloud options.
A YAML-based CLI for asserting the installed packages, services, files, ports, and other state of a system.
A coverage-guided fuzzer that mutates input corpora to find crashes and hangs in instrumented programs.
Inject controlled failures into services and infrastructure to test reliability and recovery behavior.
Landing page builder with A/B testing, Smart Traffic, and MCP for AI assistants.
Research tools for navigation, content and prototype questions
Managed cloud hosting that lets teams choose an underlying provider and app stack.
A frontline-focused business messenger built around direct messages, small-group Tables, and broadcast Rooms.
Plan and apply infrastructure changes from versioned configuration files.
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.
Mutate Python code and rerun its tests to find changes the suite fails to catch.