
What Testsigma Can’t Test, Keploy Cancatch what breaks
Auto-Generated Tests from Traffic vs AI-Powered Low-Code Test Automation
Keploy auto-generates API tests from real production traffic using eBPF with zero code changes. Testsigma is an AI-powered, low-code test automation platform for web, mobile, and API testing using natural language test steps. Keploy suits teams wanting zero-effort API test generation; Testsigma suits QA teams wanting low-code test creation with AI-assisted maintenance.
How 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.
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Why teams switch from Testsigma
Keploy eliminates manual test authoring by generating tests automatically from real traffic — no scripts, no stubs, no infrastructure setup.
Want fully automatic test generation from traffic with zero authoring
Need automatic mock generation for databases and downstream services
Prefer CLI-based, developer-first tooling over cloud-based IDEs
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
Every 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
Natural language test steps with AI-assisted authoring
Zero code changes needed to instrument or capture
No code needed — NLP-based test step editor
Auto-generates mocks for all downstream dependencies
No built-in mock generation for dependencies
Built-in time-freezing and field normalization
Data-driven testing with parameter stores and runtime variables
Native CLI integration with any CI pipeline
REST API triggers and CI/CD plugins for test execution
Language-agnostic — captures at network level
Language-agnostic — NLP tests work with any API
Click 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.
Keploy 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 data automatically. No test scripts — natural language or otherwise.
Testsigma lets teams write tests using natural language (NLP) steps in a cloud-based IDE. For API testing, it provides a REST API testing module where testers define requests, assertions, and data-driven scenarios without coding. AI assists with test maintenance by auto-healing broken element locators and suggesting fixes.
When to use each tool
Specific scenarios where each tool delivers the most value.
Keploy is the better fit when…
- Want fully automatic test generation from traffic with zero authoring
- Need automatic mock generation for databases and downstream services
- Prefer CLI-based, developer-first tooling over cloud-based IDEs
- Do not need web or mobile UI testing in the same platform
- Want open-source, self-hosted tooling without cloud dependency
Testsigma is the better fit when…
- Need a low-code platform accessible to manual QA testers
- Want AI-assisted test maintenance with auto-healing capabilities
- Need web, mobile, and API testing in one unified cloud platform
- Prefer natural language test steps over code or traffic capture
- Want built-in test management, reporting, and collaboration features
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 (Testsigma / 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 Testsigma, 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 Testsigma 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 regression tests automatically. No one writes NLP steps or maintains test scripts. Coverage grows with real usage.
Testsigma's AI helps maintain tests when UI changes, but someone still needs to author the initial test steps. At 50 PRs/week, AI maintenance helps but initial authoring takes time.
You're migrating from monolith to microservices
Keploy records monolith traffic, auto-generates dependency mocks, and verifies new microservices produce equivalent responses. No manual test authoring.
Testsigma can test new microservice APIs through its REST module. You write NLP test steps for each service. AI helps maintain tests as APIs evolve during migration.
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 Testsigma.
Still have questions? The docs and community can help.
Looking for a Testsigma alternative?
Engineering teams evaluating Testsigma 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.