How is Keploy different from Tusk?

Keploy captures real traffic at the kernel level with eBPF and auto-generates language-agnostic API tests plus deterministic mocks, all open source and self-hostable. Tusk is an AI verification layer that generates unit and API tests from pull-request diffs and business context, with a separate Drift product that records and replays production traffic. Keploy centers on owned, traffic-based regression coverage; Tusk centers on AI-authored tests gated on PRs.

Does Tusk capture production traffic like Keploy?

Its Tusk Drift product records live production traffic and replays it against PRs, which is conceptually similar to Keploy. The key difference is that Keploy captures at the kernel level via eBPF and generates portable mocks and tests you own under Apache 2.0, while Tusk Drift is part of a proprietary, agent-focused verification platform.

Is Tusk only for teams using AI coding agents?

Tusk positions itself as a verification layer for coding agents and shines when many AI-generated PRs need checking, but its test generation works for human-written PRs too. Keploy is agnostic to how code is written — it validates behavior from captured traffic regardless of authorship.

Is Keploy open source while Tusk is not?

Yes. Keploy is fully open source under Apache 2.0 with 20K+ GitHub stars and a self-hosted option. Tusk is a proprietary commercial product; it maintains a public Tusk Drift GitHub org, but the platform itself is closed and priced per developer.

Can I use Keploy and Tusk together?

Yes. A team could use Tusk to generate and gate AI-authored tests on each PR, and Keploy to maintain owned, traffic-based regression suites with auto-generated mocks that run in CI or on Kubernetes. They emphasize different points in the workflow and can coexist.

Try Keploy with Claude

Keploy

Tusk

What Tusk Can’t Test, Keploy Cancatch what breaks

eBPF Traffic Capture vs AI Test Generation for Coding Agents

Keploy captures real production traffic with eBPF and auto-generates API tests plus mocks, requiring zero code changes. Tusk is an AI verification layer for coding agents: it reads pull-request diffs to generate unit and API tests, and its Tusk Drift product records live traffic to replay against PRs to catch regressions. Keploy suits teams wanting language-agnostic, kernel-level regression coverage they own; Tusk suits teams shipping heavily with AI coding agents who want AI-authored tests gated on each PR.

Try Keploy Free Read the Docs

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.

01
Real API traffic
Live requests + responses from your running app
02
eBPF capture
Kernel-level recording — zero code changes
03
Normalize
Time-freeze + field noise removed automatically
04
Generate tests
Deterministic test cases from actual behavior
05
Generate mocks
Every downstream dependency stubbed for you
06
Replay in CI
Runs locally, in CI, or in-cluster on Kubernetes
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

Globality

IdeyaLabs

Globality

IdeyaLabs

Globality

IdeyaLabs

Globality

IdeyaLabs

Why teams switch from Tusk

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

Want language-agnostic regression tests captured at the kernel level via eBPF

Need automatic mock generation for databases and external services

Prefer an open-source, self-hosted tool you fully own and control

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

Engineering time on toil

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

Tests break on next refactor

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

What Keploy delivers

Coverage from first recording

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

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

Keploy Agentrecording · analyzing · generating

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

Tusk

AI generates unit and API tests from PR diffs; Drift replays recorded traffic

Code Changes Required

Keploy

Zero code changes needed to instrument or capture

Tusk

No code changes; integrates via app/CLI on pull requests

Mock/Stub Generation

Keploy

Auto-generates mocks for all downstream dependencies

Tusk

Runs generated tests in an isolated sandbox; Drift replays captured calls

Non-deterministic Data Handling

Keploy

Built-in time-freezing and field normalization

Tusk

Drift offers self-healing tests; unit tests rely on AI-inferred assertions

CI/CD Integration

Keploy

Native CLI integration with any CI pipeline

Tusk

Runs as a non-blocking check on PRs; Drift runs locally or in CI

Language Support

Keploy

Language-agnostic — captures at network level

Tusk

Code-aware AI generation across common backend languages

Dimension

Keploy

Tusk

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 Tusk

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 Tusk

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.

KeployeBPF-based

Keploy uses eBPF to record real API calls and responses from your running application at the kernel level, then replays them as regression tests. It auto-generates mocks for downstream dependencies and handles non-deterministic fields like timestamps through time-freezing. It is language-agnostic because it captures at the network layer, and runs locally, in CI, or on Kubernetes with no test code to author.

eBPF CaptureZero Code ChangesAuto MocksAI Noise DetectionCI/CD Native

Tuskits approach

Tusk is an AI verification layer aimed at teams using AI coding agents. When a commit lands on a pull request, its agent reads the diff, PR context, existing tests, and business logic from tools like Jira or Linear to generate happy-path and edge-case unit and API tests, runs them in a sandbox, and iterates on failures as a non-blocking check. Its Tusk Drift product records live production traffic and replays it against PRs with self-healing tests.

Manual configuration

When to use each tool

Specific scenarios where each tool delivers the most value.

Keploy is the better fit when…

Want language-agnostic regression tests captured at the kernel level via eBPF
Need automatic mock generation for databases and external services
Prefer an open-source, self-hosted tool you fully own and control
Need built-in time-freezing for non-deterministic fields like timestamps
Want to replay real traffic locally, in CI, or on Kubernetes without code changes

Tusk is the better fit when…

Ship heavily with AI coding agents and want tests generated per pull request
Want AI to author unit and API tests from diffs and business context
Prefer a non-blocking PR check that suggests tests you choose to merge
Want business logic pulled from Jira or Linear to inform test scenarios
Are comfortable with a proprietary, cloud-based verification layer

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

With Tusk

— 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 Tusk 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

4# 2. Record your traffic

5keploy record -c "your-start-command"

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

Code Changes Required

Apache 2.0

Open Source License

Real-world scenarios

How Keploy handles the challenges your team actually faces.

Your team ships many AI-generated PRs and needs regression safety

With Keploy

Keploy captures production traffic and replays it as regression tests in CI, catching behavioral changes regardless of who or what wrote the code. Coverage comes from real usage rather than inferred assertions, and every dependency is mocked automatically.

Without Keploy

Tusk is purpose-built for this: on each PR it generates unit and API tests from the diff and business context, runs them in a sandbox, and surfaces regressions as a non-blocking check, and Tusk Drift replays recorded traffic to catch behavioral drift.

You need mocks for downstream dependencies automatically

With Keploy

Keploy records the exact calls to databases and third-party services during capture and generates deterministic mocks, so replays are hermetic and stable without any manual stubbing.

Without Keploy

Tusk runs generated tests in an isolated sandbox and, via Drift, replays recorded traffic; dependency handling is tied to its recording and sandbox model rather than portable mock artifacts you own.

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 Tusk~35 lines you write & maintain

users.test.js

hand-written39 lines

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';

7let db;

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});

18afterEach(async () => {

19 await db.cleanup();

20 await mockRedis.disconnect();

21 await mockS3.teardown();

22 await mockMailer.stop();

23 jest.useRealTimers();

24});

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-generated27 lines

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 Tusk.

Still have questions? The docs and community can help.

Read the docs Star on GitHub

Looking for a Tusk alternative?

Engineering teams evaluating Tusk 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).

Tusk alternativeTusk vs Keploybest alternative to Tuskcompare Tusk and KeployTusk open source alternativeswitch from Tusk

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.

Try Keploy Free Read the Docs