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Keploy
vs
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Apidog

What Apidog Can’t Test, Keploy Cancatch what breaks

Auto-Generated Tests from Traffic vs All-in-One API Design Platform

Keploy auto-generates API tests by capturing real production traffic using eBPF, requiring zero code changes. Apidog is an all-in-one commercial platform that combines API design, debugging, documentation, mocking, and manual test automation in one workspace. Keploy suits teams wanting instant regression coverage from real behavior; Apidog suits teams wanting a unified design-first API lifecycle tool.

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18.4K+
GitHub Stars
1.2M+
Installs
Zero
Code Changes
Apache 2.0
Open Source License
eBPF · zero code changes

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.

  1. 01
    Real API traffic
    Live requests + responses from your running app
  2. 02
    eBPF capture
    Kernel-level recording — zero code changes
  3. 03
    Normalize
    Time-freeze + field noise removed automatically
  4. 04
    Generate tests
    Deterministic test cases from actual behavior
  5. 05
    Generate mocks
    Every downstream dependency stubbed for you
  6. 06
    Replay in CI
    Runs locally, in CI, or in-cluster on Kubernetes
  7. 07
    Regression detection
    Diffs flagged before they reach production

See how the capture-replay engine works under the hood.

Star on GitHub Read the docs

Trusted by engineering teams at scale

Amazon
Flipkart
Swish
Maruti Suzuki
Nutanix
Whatfix
LambdaTest
Allen
Reliance Retail
Pixis
Globality
LeadSquared
Accenture
Edureka
InstaAstro
IdeyaLabs
Wednesday
Apple
Amazon
Flipkart
Swish
Maruti Suzuki
Nutanix
Whatfix
LambdaTest
Allen
Reliance Retail
Pixis
Globality
LeadSquared
Accenture
Edureka
InstaAstro
IdeyaLabs
Wednesday
Apple
Amazon
Flipkart
Swish
Maruti Suzuki
Nutanix
Whatfix
LambdaTest
Allen
Reliance Retail
Pixis
Globality
LeadSquared
Accenture
Edureka
InstaAstro
IdeyaLabs
Wednesday
Apple
Amazon
Flipkart
Swish
Maruti Suzuki
Nutanix
Whatfix
LambdaTest
Allen
Reliance Retail
Pixis
Globality
LeadSquared
Accenture
Edureka
InstaAstro
IdeyaLabs
Wednesday
Apple
SOC 2
ISO 27001
HIPAA
GDPR
G2 reviews
Gartner

Why teams switch from Apidog

Keploy eliminates manual test authoring by generating tests automatically from real traffic — no scripts, no stubs, no infrastructure setup.

01

Want to generate regression tests from production traffic without writing code

02

Need automatic mock generation for databases and external services from real calls

03

Your team ships fast and cannot afford time to manually maintain test scenarios

The numbers behind the switch

Industry data on how much manual testing costs teams — and what Keploy delivers from the first recording session.

The cost of manual testing
0%
Engineering time on toil

Writing tests, configuring mocks, debugging flakiness — not building features that ship.

0%
Tests break on next refactor

A routine rename or interface change silently invalidates more than half your suite.

What Keploy delivers
0%
Coverage from first recording

Keploy generates tests from every request your API actually handles — no guessing.

0%
Production paths covered

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.

Explore Keploy Read the docs

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.

your-service — running on :3000live

Incoming API Requests

GET/users/list
POST/orders/create
PUT/users/42
DELETE/sessions/7
GET/products
+42 more…
eBPF Kernel Intercept Layer
intercepts all syscalls · no code changes · zero runtime overhead
HTTP/1.1HTTP/2gRPCWebSocketTCP/IP
KeployKeploy Agent
Test Cases
testcase-1.yaml
testcase-2.yaml
testcase-3.yaml
…+42 generated
Mock Files
mock-postgres.yaml
mock-redis.yaml
mock-s3.yaml
all deps covered

Every API call your app makes gets captured, replayed as a test, and its dependencies auto-mocked — continuously, from real traffic.

Start recording traffic See setup docs

How they compare, dimension by dimension

A logical breakdown across the dimensions that matter. Click any row for real-world KPI impact across industries.

Key differences at a glance
Test Generation Method
Keploy

Auto-generates from captured production traffic via eBPF

Apidog

Manual test scenarios with visual assertions from API specs

Code Changes Required
Keploy

Zero code changes needed to instrument or capture

Apidog

No code changes but requires maintaining specs and scenarios

Mock/Stub Generation
Keploy

Auto-generates mocks for all downstream dependencies

Apidog

Smart mock servers auto-generated from API specifications

Non-deterministic Data Handling
Keploy

Built-in time-freezing and field normalization

Apidog

Spec-based mock data; dynamic handling via test logic

CI/CD Integration
Keploy

Native CLI integration with any CI pipeline

Apidog

CLI runner and CI/CD integration for test scenarios

Protocol Support
Keploy

Language-agnostic — captures at network level

Apidog

HTTP, gRPC, GraphQL, and WebSocket

Comparison

Click any dimension to see real-world KPI impact across industries.

Dive into how each capability actually works.

Read the docs Star on GitHub

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.

Manual with Apidog
tested
not tested
Happy path
Auth error
Invalid input
Not found
DB timeout
Rate limit
Concurrent
Large payload
Edge case
Empty result
GET /users
POST /users
GET /orders
POST /orders
PUT /products
DELETE /sessions
GET /analytics
POST /payments
16%
Production path coverage
84% of real production scenarios go untested
16%
With Keploy
traffic-captured
tested
not tested
Happy path
Auth error
Invalid input
Not found
DB timeout
Rate limit
Concurrent
Large payload
Edge case
Empty result
GET /users
POST /users
GET /orders
POST /orders
PUT /products
DELETE /sessions
GET /analytics
POST /payments
95%
Production path coverage
Auto-captured from real traffic — no code changes needed
95%

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.

Star on GitHub Explore Keploy

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.

With Apidog
Your Appproduction code
Requires all of these ↓
Test Database
postgres-test-instance
Mock Server
WireMock / MSW
Redis Test Instance
separate container
S3 / Object Store
localstack / fake-s3
Test Config Files
env vars, secrets, fixtures
CI Test Runner
spins up all of the above
Infrastructure overhead6+ services
With Keploy
Your Appsame code, unchanged
Only this ↓
Your Real App
no changes needed
Keploy Agent
eBPF — zero overhead
Tests.yaml
Mocks.yaml
CI runpasses
Infrastructure overhead0 extra services
Services to provision
6+0
Config files to maintain
~120
CI spin-up overhead
3–5 min~10 sec
Eliminate test infrastructure See how it works

How they work differently

Architectural differences that affect workflow, cost, and velocity.

Keploy logoKeployeBPF-based

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 fields like timestamps through time-freezing. No test scripts to write — you get coverage from actual production behavior.

eBPF CaptureZero Code ChangesAuto MocksAI Noise DetectionCI/CD Native
Apidog logo
Apidogits approach

Apidog is an integrated platform for API design, debugging, documentation, mocking, and testing. Developers design APIs with JSON Schema, auto-generate documentation and smart mock responses from specs, and build test scenarios with visual assertions and response validation. It supports HTTP, gRPC, GraphQL, and WebSocket, offers CI/CD integration, and includes AI-assisted features across the API lifecycle.

GUI workspaceTest scriptsMock serversCI integrationDocs & design

When to use each tool

Specific scenarios where each tool delivers the most value.

Keploy

Keploy is the better fit when…

  • Want to generate regression tests from production traffic without writing code
  • Need automatic mock generation for databases and external services from real calls
  • Your team ships fast and cannot afford time to manually maintain test scenarios
  • You need to handle non-deterministic data like timestamps and UUIDs automatically
  • Prefer an open-source, self-hosted solution with no per-seat licensing
Apidog logo

Apidog is the better fit when…

  • Want a single tool for API design, documentation, mocking, and testing
  • Follow a design-first workflow driven by JSON Schema and specifications
  • Need auto-generated interactive documentation and smart mock servers from specs
  • Want visual test scenario builders for team members who do not write code
  • Prefer a polished commercial platform with real-time team collaboration

Compare the full workflow for your own stack.

Explore Keploy Read the docs

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 (Apidog / manual)

Every dependency is your problem, and every code change ripples back through the test suite you hand-built.

Write API
Write tests
Maintain mocks
Fix flaky tests
Chase non-determinism
Re-write on every change
Deploy
Steps to production7

With Keploy

Record once from real traffic, replay anywhere. Tests and mocks are generated and stay in sync automatically.

Write API
Record traffic
Replay
Deploy
Steps to production4
4 vs 7
Fewer steps between writing code and shipping it
Teams that switch from Apidog to Keploy delete the entire maintenance middle — test authoring, mock upkeep, and flake chasing.

Cut the maintenance middle out of your test suite.

Read the docs Star on GitHub

The test maintenance trap

With Apidog, every feature commit generates a hidden tax — a follow-up "fix tests" commit. The commit history tells the whole story.

With Apidog
— your git log
git log --oneline
a1b2c3feat: add user auth endpoint
3 failing3 days ago
d4e5f6fix: update auth mocks & fixtures
passing3 days ago
g7h8i9feat: payment integration API
7 failing5 days ago
j1k2l3fix: mock timestamps & snapshots
passing5 days ago
m4n5o6feat: analytics dashboard endpoint
5 failing1 week ago
p7q8r9fix: update API response schemas
passing1 week ago
r1s2t3feat: notification service
4 failing2 weeks ago
u4v5w6fix: mock mailer & queue stubs
passing2 weeks ago
↑ Pattern detected: every feature commit breaks tests — 4 of 8 commits are just fixing tests
Commits wasted on test maintenance4/8
With Keploy
— your git log
git log --onelinekeploy active
a1b2c3feat: add user auth endpoint
passing+5 tests3 days ago
g7h8i9feat: payment integration API
passing+12 tests5 days ago
m4n5o6feat: analytics dashboard endpoint
passing+8 tests1 week ago
r1s2t3feat: notification service
passing+6 tests2 weeks ago
↑ Pattern: every feature commit auto-generates tests — 4/4 commits ship features
Feature commits that go straight to CI green4/4
"Fix tests" commits
4 per sprint0
Days spent on mocks
2–3 dayszero
Tests auto-generated
031+

Deterministic replays, no flaky tests — see how.

Star on GitHub Read the docs

Switch from Apidog in minutes

Choose the path that fits your workflow. Both are up and running the same day.

Integration Testing
via eBPF + CLI · no code changes

Install, record real API traffic, then replay it as regression tests — zero code changes, zero framework dependencies.

~/terminal
1# 1. Install
2curl --silent -O https://keploy.io/install.sh && source install.sh
3
4# 2. Record your traffic
5keploy record -c "your-start-command"
6
7# 3. Replay as tests
8keploy test -c "your-start-command" --delay 10
API Testing
via Web UI · no install needed

Paste your cURLs, drop in an OpenAPI spec or Postman collection, and click Generate. Keploy builds your test suite in seconds.

1Go to app.keploy.io
2Paste your cURLs
3Add your schema — OpenAPI, Postman collection, or raw cURLs
4Click Generate — done
Open app.keploy.io
Most teams are generating tests within minutes
No code changes. No framework migration. No staging dependencies.
Get started free Read the docs
18.4K+
GitHub Stars
1.2M+
Installs
0
Code Changes Required
Apache 2.0
Open Source License

Real-world scenarios

How Keploy handles the challenges your team actually faces.

Your team ships 50 PRs/week and needs regression coverage

With Keploy

Keploy captures production traffic once and generates a regression suite automatically. Every PR runs these tests in CI without anyone writing or maintaining test scenarios. Coverage grows as traffic patterns evolve.

Without Keploy

Apidog lets teams build test scenarios tied to their API specs, but someone must keep specs and scenarios current for each new endpoint. At high velocity this maintenance falls on the team unless dedicated to it.

You're migrating from monolith to microservices

With Keploy

Keploy records traffic at the monolith boundary, auto-generates mocks for downstream services, and replays tests against new microservices to verify behavioral parity. No manual mapping needed.

Without Keploy

Apidog helps design new microservice APIs spec-first and spins up smart mock servers, but verifying that the migration preserved legacy behavior requires manually building comparison scenarios.

Join the teams shipping with confidence on Keploy.

Explore Keploy Read the docs

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.

Manual with Apidog~35 lines you write & maintain
users.test.js
hand-written
1// users.test.js — written manually
2import request from 'supertest';
3import app from '../app';
4import { setupTestDB, teardownTestDB } from './helpers';
5import { mockRedis, mockS3, mockMailer } from './mocks';
6 
7let db;
8 
9beforeEach(async () => {
10 db = await setupTestDB();
11 await mockRedis.connect();
12 await mockS3.setup({ bucket: 'test-uploads' });
13 await mockMailer.start();
14 jest.useFakeTimers();
15 jest.setSystemTime(new Date('2024-01-15T10:00:00Z'));
16});
17 
18afterEach(async () => {
19 await db.cleanup();
20 await mockRedis.disconnect();
21 await mockS3.teardown();
22 await mockMailer.stop();
23 jest.useRealTimers();
24});
25 
26describe('GET /users/list', () => {
27 it('returns paginated users', async () => {
28 await db.seed('users', testData.users);
29 const res = await request(app)
30 .get('/users/list?page=1&limit=10')
31 .set('Authorization', `Bearer ${testToken}`);
32 expect(res.status).toBe(200);
33 expect(res.body.data.length).toBe(10);
34 expect(res.body.data[0]).toMatchObject({
35 id: expect.any(String),
36 createdAt: expect.any(String),
37 });
38 });
39});

Every new endpoint needs a new file. Every refactor breaks tests. Every non-deterministic value (timestamps, IDs) needs custom handling.

Auto-generated by Keploy~27 lines, zero effort
test-1.yaml
auto-generated
1# test-1.yaml — auto-generated by Keploy
2version: api.keploy.io/v1beta1
3kind: Http
4name: test-1
5spec:
6 metadata:
7 name: test-1
8 type: GET
9 req:
10 method: GET
11 url: /users/list?page=1&limit=10
12 header:
13 Authorization: Bearer <captured>
14 resp:
15 status_code: 200
16 body:
17 data:
18 - id: "usr_abc123"
19 email: "alice@example.com"
20 createdAt: "2024-01-15T10:00:00Z"
21 pagination:
22 page: 1
23 total: 47
24 noise:
25 - body.data.[].id
26 - body.data.[].createdAt
27 - header.X-Request-Id

Keploy captures the real request, response, and all dependency calls. Non-deterministic fields are auto-detected and excluded from assertions.

Lines of test code
per endpoint
~39+
~27
Setup time
initial run
3–4 hrs
5 min
Maintenance
Keploy self-updates
Every PR
Zero
Generate tests automatically See the docs

Frequently asked questions

Common questions about choosing between Keploy and Apidog.

Still have questions? The docs and community can help.

Read the docs Star on GitHub

Looking for a Apidog alternative?

Engineering teams evaluating Apidog 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).

Apidog alternativeApidog vs Keploybest alternative to Apidogcompare Apidog and KeployApidog open source alternativeswitch from Apidog

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.

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