Keploy logo
Keploy
vs
Pactflow logo
Pactflow

What Pactflow Can’t Test, Keploy Cancatch what breaks

Traffic-Based Tests and Mocks vs Consumer-Driven Contract Testing

Keploy auto-generates API tests and mocks from real production traffic using eBPF, with zero code changes and an open-source Apache 2.0 core. Pactflow is a commercial platform (by SmartBear) built on the open-source Pact framework that manages consumer-driven contracts between services and gates deployments with can-i-deploy checks. Keploy suits teams wanting fast regression coverage from real behavior; Pactflow suits teams coordinating many services through consumer-driven contracts.

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.

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 Pactflow

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

01

Want regression tests generated from real traffic with no consumer contracts to author

02

Need automatic mocks for downstream dependencies from captured behavior

03

Require handling of non-deterministic fields like timestamps automatically

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.

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.

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
Testing Model
Keploy

Records real behavior into deterministic regression tests

Pactflow

Consumer-driven contracts verified by providers

Code Changes Required
Keploy

Zero code changes needed to instrument or capture

Pactflow

Requires writing consumer contract tests with Pact libraries

Mock/Stub Generation
Keploy

Auto-generates mocks for all downstream dependencies

Pactflow

Consumer tests run against a Pact-generated mock

Contract Management
Keploy

No shared contracts; tests live with the service

Pactflow

Hosted broker versions and shares contracts across teams

Deployment Safety
Keploy

Regression suite fails CI on behavior change

Pactflow

can-i-deploy checks gate releases on compatibility

Non-deterministic Data Handling
Keploy

Built-in time-freezing and field normalization

Pactflow

Contracts use matchers to tolerate dynamic values

Comparison

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.

Manual with Pactflow
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.

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 Pactflow
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

How they work differently

Architectural differences that affect workflow, cost, and velocity.

Keploy logoKeployeBPF-based

Keploy uses eBPF to record real API calls and downstream dependency calls, then replays them as deterministic regression tests with auto-generated mocks. It handles non-deterministic fields like timestamps through time-freezing and needs no consumer-authored contracts. Tests reflect actual service behavior and run locally, in CI, or on Kubernetes without a shared broker.

eBPF CaptureZero Code ChangesAuto MocksAI Noise DetectionCI/CD Native
Pactflow logo
Pactflowits approach

Pactflow builds on Pact, where consumers define expectations as contracts and generate a mock they test against; providers then verify they satisfy every consumer contract. Pactflow adds a hosted broker to store and version contracts, can-i-deploy safety checks, bi-directional contract testing that reconciles an OpenAPI spec with consumer contracts, and AI-assisted authoring. It is a managed enterprise layer over the Pact ecosystem.

Manual authoringMock serversDocs & designManaged / SaaS

When to use each tool

Specific scenarios where each tool delivers the most value.

Keploy

Keploy is the better fit when…

  • Want regression tests generated from real traffic with no consumer contracts to author
  • Need automatic mocks for downstream dependencies from captured behavior
  • Require handling of non-deterministic fields like timestamps automatically
  • Prefer testing actual end-to-end behavior over declared consumer expectations
  • Want an open-source core with no hosted broker or per-contract licensing
Pactflow logo

Pactflow is the better fit when…

  • Practice consumer-driven contract testing across many interdependent services
  • Need a broker to version, share, and verify contracts between teams
  • Want can-i-deploy checks to gate releases on compatibility
  • Already invested in the Pact framework and want a managed platform for it
  • Need bi-directional contract testing to reconcile OpenAPI specs with consumer contracts

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 (Pactflow / 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 Pactflow to Keploy delete the entire maintenance middle — test authoring, mock upkeep, and flake chasing.

Cut the maintenance middle out of your test suite.

The test maintenance trap

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

With Pactflow
— 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.

Switch from Pactflow 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
Most teams are generating tests within minutes
No code changes. No framework migration. No staging dependencies.
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.

You coordinate a dozen microservices maintained by different teams

With Keploy

Keploy gives each service its own traffic-driven regression suite and mocks, catching regressions per service, but it does not centrally coordinate cross-team expectations.

Without Keploy

Pactflow is designed for this. Consumers publish contracts to the broker, providers verify against all of them, and can-i-deploy ensures a service will not break its consumers before release.

You want fast regression coverage without writing contracts

With Keploy

Keploy captures traffic and generates tests and mocks automatically, so you get coverage in minutes with no contract authoring or broker setup.

Without Keploy

Pactflow requires consumers to write contract tests using Pact libraries and providers to add verification. It delivers strong compatibility guarantees but involves upfront authoring effort per interaction.

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.

Manual with Pactflow~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

Frequently asked questions

Common questions about choosing between Keploy and Pactflow.

Still have questions? The docs and community can help.

Looking for a Pactflow alternative?

Engineering teams evaluating Pactflow 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).

Pactflow alternativePactflow vs Keploybest alternative to Pactflowcompare Pactflow and KeployPactflow open source alternativeswitch from Pactflow

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.