Keploy vs QA.tech
Keploy auto-generates API tests from real production traffic using eBPF, while QA.tech deploys autonomous AI agents that explore web applications, discover features, and generate tests without manual scripting. Keploy targets backend API regression; QA.tech autonomously explores the frontend to find bugs, broken flows, and visual issues.
How They Work Differently
Architectural differences that affect your team's workflow, cost, and velocity.
KeployKeploy operates at the network layer, capturing API traffic and converting it into deterministic integration tests with auto-generated dependency mocks. It is a passive observer that records real behavior and replays it for regression detection.
QA.techQA.tech uses autonomous AI agents that actively explore your web application like a real user, discovering features, testing interactions, and identifying bugs without any test scripts. The AI learns your application's behavior and generates tests based on its exploration.
How They Compare
Click any row to see real-world KPI impact across industries.
KeployOpen Source · 17K+ Stars
QA.techWhen to Use Each Tool
Specific scenarios where each tool delivers the most value for your engineering team.
Keploy is the better fit when you need to...
- Your primary concern is backend API regression, not UI exploration
- You need auto-generated mocks for microservices isolation
- You want deterministic, repeatable tests from production traffic
- You prefer explicit test coverage derived from real usage patterns
- You need self-hosted, open-source testing infrastructure
QA.tech is the better fit when you need to...
- You want AI to autonomously discover bugs you did not think to test for
- Your web application needs exploratory testing at scale
- You lack QA resources to write and maintain test scripts
- You want continuous automated exploration of your application
- Your biggest risk is undiscovered UI bugs and broken user flows
Real-World Scenarios
How each tool handles the challenges your team actually faces.
Finding Undiscovered Bugs in a Growing Web App
Keploy catches regressions in known API behavior by replaying captured traffic. It will not discover new bugs in untested code paths or features that production users have not exercised yet.
QA.tech's AI agent explores your entire web application, discovering features and testing interactions that no one explicitly scripted. It finds bugs in overlooked corners of the UI, broken links, and unexpected error states.
Backend Microservices Contract Validation
Keploy captures inter-service API traffic and generates contract tests for each service boundary. Auto-generated mocks let services be tested independently, catching breaking changes before they reach production.
QA.tech tests through the browser and cannot directly validate backend microservices contracts. It detects contract breaks only when they cause visible UI failures, which may not cover all API-level regressions.
Continuous Quality Monitoring of Production Web App
Keploy captures production traffic for test generation but does not actively monitor or test the production application. It creates regression suites from traffic but runs them against staging or test environments.
QA.tech can continuously explore the production web application, detecting broken features, performance degradations, and new bugs as they appear. It acts as an always-on QA agent monitoring application health.
FAQs
QA.tech primarily tests through the browser by interacting with the web application as a user. It indirectly tests APIs through the UI layer but does not generate API-level tests or create dependency mocks like Keploy does.
QA.tech's autonomous exploration is valuable for discovery but can produce non-deterministic results since the AI may explore different paths each run. Keploy's traffic-replay tests are deterministic and more suitable as hard CI/CD gates.
They find different types of bugs. QA.tech discovers unknown bugs through exploration, especially UI issues and broken flows. Keploy catches regressions in known API behavior. QA.tech excels at finding new bugs; Keploy excels at preventing old bugs from returning.
Yes. Use Keploy for deterministic API regression testing in CI/CD gates, and run QA.tech for continuous exploratory testing to discover new bugs. This combines regression prevention with proactive bug discovery.
Minimal. You provide the URL and optional login credentials, and the AI agent begins exploring autonomously. Keploy also requires minimal setup—install and start capturing traffic. Both tools prioritize low configuration overhead.
Looking for a QA.tech Alternative?
Engineering teams evaluating QA.tech alternatives often compare it with Keploy for API testing and regression coverage. Keploy captures real production traffic via eBPF and auto-generates tests with dependency mocks — requiring zero code changes. If you're considering switching from QA.tech or comparing QA.tech and Keploy side by side, the key differences come down to how tests are generated (traffic-based vs manual), how dependencies are mocked (automatic vs configured), and what infrastructure changes are needed (none vs SDK/sidecar/containers).
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