⚡️ API tests faster than unit tests, from user traffic ⚡️

🌟 The must-have tool for developers in the AI-Gen era for 90% test coverage 🌟

Keploy is a developer‑centric API and integration testing tool that auto‑generates tests and data‑mocks faster than unit tests.

It records API calls, database queries, and streaming events — then replays them as tests. Under the hood, Keploy uses eBPF to capture traffic at the network layer, but for you it’s completely code‑less and language‑agnostic.

Convert API calls to API tests test cases and Data Mocks using AI

🐰 Fun fact: Keploy uses itself for testing! Check out our swanky coverage badge:

Key Highlights

Name: Keploy
Author: keploy

🎯 No code changes

Just run your app with keploy record. Real API + integration flows are automatically captured as tests and mocks. (Keploy uses eBPF under the hood to capture traffic, so you don’t need to add any SDKs or modify code.)

📹 Record and Replay complex Flows

Keploy can record and replay complex, distributed API flows as mocks and stubs. It's like having a very light-weight time machine for your tests—saving you tons of time!

👉 Read the docs on record-replay

🐇 Complete Infra‑Virtualization (beyond HTTP mocks)

Unlike tools that only mock HTTP endpoints, Keploy records databases (Postgres, MySQL, MongoDB), streaming/queues (Kafka, RabbitMQ), external APIs, and more.

It replays them deterministically so you can run tests without re‑provisioning infra.

👉 Read the docs on infra virtualisation

🧪 Combined Test Coverage

If you’re a developer, you probably care about statement and branch coverage — Keploy calculates that for you.

If you’re a QA, you focus more on API schema and business use‑case coverage — Keploy calculates that too. This way coverage isn’t subjective anymore.

👉 Read the docs on coverage

ai test gen for api statement schema and branch coverage

🤖 Expand API Coverage using AI

Keploy uses existing recordings, Swagger/OpenAPI Schema to find: boundary values, missing/extra fields, wrong types, out‑of‑order sequences, retries/timeouts.

This helps expand API Schema, Statement, and Branch Coverage.

👉 Read the docs on coverage

Other Capabilities

🌐 CI/CD Integration: Run tests with mocks anywhere you like—locally on the CLI, in your CI pipeline (Jenkins, Github Actions..) , or even across a Kubernetes cluster. Read more
🎭 Multi-Purpose Mocks: You can also use Keploy-generated Mocks, as server Tests!
📊 Reporting: Unified reports for API, integration, unit, and e2e coverage with insights directly in your CI or PRs.
🖥️ Console: A developer-friendly console to view, manage, and debug recorded tests and mocks.
⏱️ Time Freezing: Deterministically replay tests by freezing system time during execution. Read more
📚 Mock Registry: Centralized registry to manage, reuse, and version mocks across teams and environments. Read more

Quick Start

1. Install Keploy Agent

bash

curl --silent -O -L https://keploy.io/install.sh && source install.sh

2. Record Test Cases

Start your app under Keploy to convert real API calls into tests and mocks.

bash

keploy record -c "CMD_TO_RUN_APP"

Example for Python:

bash

keploy record -c "python main.py"

3. Run Tests

Run tests offline without external dependencies.

bash

keploy test -c "CMD_TO_RUN_APP" --delay 10

Resources

- 📘 Installation

- 🏁 QuickStarts

Languages & Frameworks (Any stack)

Because Keploy intercepts at the network layer (eBPF), it works with any language, framework, or runtime—no SDK required.

Note: Some of the dependencies are not open-source by nature because their protocols and parsings are not open-sourced. It's not supported in Keploy enterprise.