Keploy vs Tracetest
Keploy generates tests from real API traffic via eBPF with zero code changes, while Tracetest uses OpenTelemetry traces to create assertions across distributed service calls. Keploy auto-generates mocks and complete test suites, whereas Tracetest leverages existing observability data to validate trace-level behavior in microservices.
How They Work Differently
Architectural differences that affect your team's workflow, cost, and velocity.
KeployKeploy captures real API traffic at the kernel level using eBPF and replays it as complete integration tests. Mocks for dependencies are auto-generated from recorded interactions. No instrumentation or observability setup is required.
TracetestTracetest triggers API requests and uses OpenTelemetry traces to assert on the behavior of every service in the request path. It leverages distributed tracing data to validate internal service behavior, database queries, and message queue interactions within traces.
How They Compare
Click any row to see real-world KPI impact across industries.
KeployOpen Source · 17K+ Stars
TracetestWhen 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...
- You want test generation without requiring OpenTelemetry instrumentation
- Your team needs auto-generated mocks and complete test suites from traffic
- You prefer zero-code-change setup with eBPF-based capture
- You want tests based on real production traffic patterns
- You need an open-source tool that works without observability infrastructure
Tracetest is the better fit when you need to...
- You already have OpenTelemetry instrumentation across your services
- You want to assert on internal trace spans, not just API responses
- Your team needs to validate behavior deep inside distributed call chains
- You want to leverage existing observability investment for testing
- You need to test specific database queries or queue messages within traces
Real-World Scenarios
How each tool handles the challenges your team actually faces.
Microservice Integration Testing
Keploy captures API traffic between services and generates tests with mocked dependencies. No tracing infrastructure is needed, and tests run quickly against recorded behavior.
Tracetest triggers requests and asserts on OpenTelemetry trace spans across the entire service chain. It validates internal behavior like database queries and queue publishes within each span.
Regression Detection
Keploy replays recorded traffic and compares responses to detect API-level regressions. Normalization handles non-deterministic fields, and the diff output shows exactly what changed.
Tracetest detects regressions at the trace level, catching changes in internal service behavior even when the API response looks correct. This provides deeper insight but requires maintained instrumentation.
Observability-Driven Testing
Keploy operates independently of observability tools. It captures and replays traffic without needing traces, metrics, or logs infrastructure. Tests focus on API-level behavior.
Tracetest is built for observability-first teams. It turns your existing OpenTelemetry traces into test assertions, creating a tight feedback loop between observability and testing.
FAQs
No. Keploy uses eBPF to capture traffic at the kernel level and does not require any instrumentation, including OpenTelemetry. Tracetest requires OpenTelemetry traces to function. Keploy works in any environment without observability infrastructure.
Tracetest does not auto-generate tests from traffic. You define test triggers and trace assertions. Keploy auto-generates complete test suites from recorded traffic with zero manual test writing. The approaches are fundamentally different.
Tracetest provides deeper insight into internal service behavior through trace span assertions. Keploy tests API-level behavior which is sufficient for most regression testing. Tracetest can catch internal changes that do not affect the API response.
Yes. Use Keploy for fast API-level regression testing in CI and Tracetest for deeper trace-based assertions on critical paths. This combines Keploy's ease of use with Tracetest's deep observability-driven validation.
Keploy is easier because it requires no instrumentation — install, record traffic, and you have tests. Tracetest requires OpenTelemetry instrumentation across your services first. If you already have OpenTelemetry, Tracetest setup is also straightforward.
Looking for a Tracetest Alternative?
Engineering teams evaluating Tracetest 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 Tracetest or comparing Tracetest 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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