🚀🎉 Dive into Keploy! 🎉🚀

Ever seen a developer logo this snazzy? 👇

🎤 Introducing Keploy 🐰

Keploy is a next-gen E2E testing tool that provides an easy way to capture and generate tests(KTests) and data-mocks(KMocks) from real API calls. It automatically generates mocks and stubs, making the testing process simpler and more efficient.

🔄 Merge KTests with your fave testing libraries to see that glorious combined test-coverage. 🎭 KMocks are multi-talented – use 'em in existing tests, as server tests, or just to impress your friends!

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

🌐 Language Support

From Go's gopher 🐹 to Python's snake 🐍, we support:

🎩 How's the Magic Happen?

Our magical 🧙‍♂️ Keploy proxy captures and replays ALL(CRUD operations, including non-idempotent APIs) your app's network interactions.

Take a journey to How Keploy Works? to discover the tricks behind the curtain!

📘 Get Schooled!

Become a Keploy pro with our Documentation.

💖 Let's Build Together!

Whether you're a newbie coder or a wizard 🧙‍♀️, your perspective is golden. Take a peek at our:

🌈 Contribution Guidelines

❤️ Code of Conduct

🌟 Features

🚀 Export, maintain, and show off tests and mocks!

🤝 Shake hands with popular testing frameworks – Go-Test, JUnit, Py-Test, Jest and more!

🕵️ Detect noise with surgeon-like precision!

Filters noisy fields in API responses like (timestamps, random values) to ensure high quality tests.

📊 Say 'Hello' to higher coverage!

Keploy ensures that redundant testcases are not generated.

Quick Installation

Docker Installation

Keploy can be used on Linux & Windows through Docker.

Note: MacOS users please install Colima.

Creating Alias

To establish a network for your application using Keploy on Docker, follow these steps.

If you're using a docker-compose network, replace keploy-network with your app's docker_compose_network_name below.

docker network create keploy-network

Then, create an alias for Keploy:

alias keploy='sudo docker run --name keploy-v2 -p 16789:16789 --network keploy-network --privileged --pid=host -it -v "$(pwd)":/files -v /sys/fs/cgroup:/sys/fs/cgroup -v /sys/kernel/debug:/sys/kernel/debug -v /sys/fs/bpf:/sys/fs/bpf -v /var/run/docker.sock:/var/run/docker.sock --rm ghcr.io/keploy/keploy'

Recording Testcases and Data Mocks

Here are few points to consider before recording!

• If you're running via docker compose, ensure to include the <CONTAINER_NAME> under your application service in the docker-compose.yaml file like this.
• Change the network name (--network flag) from keploy-network to your custom network if you changed it above.
• Docker_CMD_to_run_user_container refers to the Docker command for launching the application.

Utilize the keploy alias we created to capture testcases. Execute the following command within your application's root directory.

keploy record -c "Docker_CMD_to_run_user_container --network keploy-network" --containerName "<containerName>"

Perform API calls using tools like Hoppscotch, Postman, or cURL commands.

Keploy will capture the API calls you've conducted, generating test suites comprising testcases (KTests) and data mocks (KMocks) in YAML format.

Running Testcases

Now, use the keployV2 Alias we created to execute the testcases. Follow these steps in the root directory of your application.

When using docker-compose to start the application, it's important to ensure that the --containerName parameter matches the container name in your docker-compose.yaml file.

keploy test -c "Docker_CMD_to_run_user_container --network keploy-network" --containerName "<containerName>" --delay 20

Voilà! 🧑🏻‍💻 We have the tests with data mocks running! 🐰🎉

You'll be able to see the test-cases that ran with the results report on the console as well locally in the testReport directory.

Using Binary ( Linux / WSL)

Keploy can be utilized on Linux natively and through WSL on Windows.

Native Installation Guide

Download the Keploy Binary.

AMD Architecture

curl --silent --location "https://github.com/keploy/keploy/releases/latest/download/keploy_linux_amd64.tar.gz" | tar xz -C /tmp

sudo mkdir -p /usr/local/bin && sudo mv /tmp/keploy /usr/local/bin && keploy

---

ARM Architecture

curl --silent --location "https://github.com/keploy/keploy/releases/latest/download/keploy_linux_amd64.tar.gz" | tar xz -C /tmp

sudo mkdir -p /usr/local/bin && sudo mv /tmp/keploy /usr/local/bin && keploy

Capturing Testcases

To initiate the recording of API calls, execute this command in your terminal:

sudo -E keploy record -c "CMD_TO_RUN_APP"

For instance, if you're using a simple Golang program, the command would resemble:

sudo -E keploy record -c "go run main.go"

Running Testcases

To run the testcases and generate a test coverage report, use this terminal command:

sudo -E keploy test -c "CMD_TO_RUN_APP" --delay 10

For example, if you're using a Golang framework, the command would be:

sudo -E keploy test -c "go run main.go" --delay 10

🤔 Questions?

Reach out to us. We're here to help!

🐲 The Challenges We Face!

• Unit Testing: While Keploy is designed to run alongside unit testing frameworks (Go test, JUnit..) and can add to the overall code coverage, it still generates E2E tests.
• Production Lands: Keploy is currently focused on generating tests for developers. These tests can be captured from any environment, but we have not tested it on high volume production environments. This would need robust deduplication to avoid too many redundant tests being captured. We do have ideas on building a robust deduplication system #27

✨ Resources!

🤔 FAQs

🕵️‍️ Why Keploy

⚙️ Installation Guide

📖 Contribution Guide

🌟 Hall of Contributors