What Karate Labs Can’t Test, Keploy Cancatch what breaks
Auto-Generated Tests from Traffic vs DSL-Based API Test Automation
Keploy auto-generates API tests from real production traffic using eBPF with zero code changes. Karate Labs is an open-source framework using a Gherkin-like DSL for writing API tests without Java knowledge, combining API testing, mocking, and performance testing in one tool. Keploy suits teams wanting zero-effort test generation; Karate suits teams wanting readable DSL-based test scripts.
eBPF · zero code changesHow Keploy turns real traffic into a test suite
One pipeline, running the moment your app receives a request. No SDKs, no sidecars, no test scripts — just kernel-level capture that becomes deterministic regression coverage.
- 01Real API trafficLive requests + responses from your running app
- 02eBPF captureKernel-level recording — zero code changes
- 03NormalizeTime-freeze + field noise removed automatically
- 04Generate testsDeterministic test cases from actual behavior
- 05Generate mocksEvery downstream dependency stubbed for you
- 06Replay in CIRuns locally, in CI, or in-cluster on Kubernetes
- 07Regression detectionDiffs flagged before they reach production
See how the capture-replay engine works under the hood.
Trusted by engineering teams at scale
Why teams switch from Karate Labs
Keploy eliminates manual test authoring by generating tests automatically from real traffic — no scripts, no stubs, no infrastructure setup.
Want to generate regression tests from production traffic without writing any DSL or code
Need automatic mock generation without manually defining mock responses
Do not want JVM dependency in your testing pipeline
The numbers behind the switch
Industry data on how much manual testing costs teams — and what Keploy delivers from the first recording session.
Writing tests, configuring mocks, debugging flakiness — not building features that ship.
A routine rename or interface change silently invalidates more than half your suite.
Keploy generates tests from every request your API actually handles — no guessing.
Traffic capture reaches edge cases, error paths, and concurrent requests no dev would write.
Pain stats sourced from developer productivity surveys. Coverage stats from Keploy production recording sessions across 50+ engineering teams.
Every number here comes from teams running Keploy in CI.
Zero code. Real tests. Automatically.
Keploy's eBPF agent intercepts every API call at the kernel level and turns live traffic into test cases with dependency mocks — no SDK, no sidecars, no annotations.
Incoming API Requests
Keploy Agentrecording · analyzing · generatingEvery API call your app makes gets captured, replayed as a test, and its dependencies auto-mocked — continuously, from real traffic.
How they compare, dimension by dimension
A logical breakdown across the dimensions that matter. Click any row for real-world KPI impact across industries.
Auto-generates from captured production traffic via eBPF
Manual authoring in Gherkin-like DSL (.feature files)
Zero code changes needed to instrument or capture
No app changes but requires writing Karate feature files
Auto-generates mocks for all downstream dependencies
Built-in mock server defined in feature files
Built-in time-freezing and field normalization
Karate expressions and regex matchers for dynamic values
Native CLI integration with any CI pipeline
Maven/Gradle integration with JUnit runner in CI
Language-agnostic — captures at network level
JVM-based but tests any API; DSL requires no Java knowledge
KeployClick any dimension to see real-world KPI impact across industries.
Dive into how each capability actually works.
Your tests miss more than you think
Manual tests cover paths developers remember to write — usually just the happy path. Keploy captures every pattern production traffic actually generates.
Coverage grid shows 8 common endpoints × 10 production scenario types. Manual tests cover only what developers remember to write. Keploy captures every pattern your API actually serves in production.
Keploy is open source — read the code that captures this coverage.
The infrastructure you're maintaining
Traditional testing stacks require a shadow infrastructure to exist alongside your real app. Keploy eliminates all of it — tests and mocks come from actual traffic, not from services you run and maintain.
How they work differently
Architectural differences that affect workflow, cost, and velocity.
KeployeBPF-basedKeploy uses eBPF to record real API calls and responses from your running application, then replays them as regression tests. It auto-generates mocks for downstream dependencies and handles non-deterministic fields automatically. No test scripts to write in any language or DSL.
Karate uses a Gherkin-like DSL that lets teams write API tests in plain-text .feature files without Java or programming knowledge. It handles REST, SOAP, GraphQL, and gRPC. Karate includes built-in mocking, parallel execution, and Gatling-based performance testing. It runs on the JVM and integrates with Maven/Gradle.
When to use each tool
Specific scenarios where each tool delivers the most value.
Keploy is the better fit when…
- Want to generate regression tests from production traffic without writing any DSL or code
- Need automatic mock generation without manually defining mock responses
- Do not want JVM dependency in your testing pipeline
- Need tests that auto-update with changing traffic patterns
- Prefer zero-effort test creation over expressive but manual test scripting
Karate Labs is the better fit when…
- Want readable BDD-style test scripts that serve as living documentation
- Need built-in performance testing alongside functional API testing
- Your team is JVM-based and wants tight Maven/Gradle integration
- Want to test GraphQL and gRPC with first-class protocol support
- Prefer writing explicit test scenarios with fine-grained assertions
Compare the full workflow for your own stack.
The workflow you're escaping
Same starting point, same finish line. One path is short because Keploy does the tedious middle for you — the other is where teams lose days every sprint.
Without Keploy (Karate Labs / manual)
Every dependency is your problem, and every code change ripples back through the test suite you hand-built.
With Keploy
Record once from real traffic, replay anywhere. Tests and mocks are generated and stay in sync automatically.
Cut the maintenance middle out of your test suite.
The test maintenance trap
With Karate Labs, every feature commit generates a hidden tax — a follow-up "fix tests" commit. The commit history tells the whole story.
Deterministic replays, no flaky tests — see how.
Switch from Karate Labs in minutes
Choose the path that fits your workflow. Both are up and running the same day.
Install, record real API traffic, then replay it as regression tests — zero code changes, zero framework dependencies.
# 1. Installcurl --silent -O https://keploy.io/install.sh && source install.sh# 2. Record your traffickeploy record -c "your-start-command"# 3. Replay as testskeploy test -c "your-start-command" --delay 10Paste your cURLs, drop in an OpenAPI spec or Postman collection, and click Generate. Keploy builds your test suite in seconds.
Real-world scenarios
How Keploy handles the challenges your team actually faces.
Your team ships 50 PRs/week and needs regression coverage
Keploy captures traffic and generates tests automatically. No feature files to write or maintain. Tests run in CI on every PR and stay current with real usage patterns.
Karate requires writing .feature files for each API scenario. At high PR velocity, keeping feature files updated is manageable if tests are well-organized, but still requires dedicated authoring time.
You're migrating from monolith to microservices
Keploy records monolith traffic, generates dependency mocks automatically, and verifies microservices produce equivalent responses. No manual mock definitions needed.
Karate's built-in mock server can simulate legacy services during migration. You write mock definitions in feature files, which is readable but requires manual effort for each dependency.
Join the teams shipping with confidence on Keploy.
What you write vs what Keploy writes
The same test coverage — one approach takes hours of setup and ongoing maintenance, the other takes five minutes and zero boilerplate.
Every new endpoint needs a new file. Every refactor breaks tests. Every non-deterministic value (timestamps, IDs) needs custom handling.
Keploy captures the real request, response, and all dependency calls. Non-deterministic fields are auto-detected and excluded from assertions.
Frequently asked questions
Common questions about choosing between Keploy and Karate Labs.
Still have questions? The docs and community can help.
Looking for a Karate Labs alternative?
Engineering teams evaluating Karate Labs 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. 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).
Ready to stop writing tests manually?
Keploy captures your real API traffic and turns it into a regression suite automatically. Zero code changes. Full coverage from day one.