Keploy

What is Keploy?

Keploy is an AI-driven developer platform that automates the creation of unit, API, and integration tests by recording real production traffic and generating mocks and stubs from it. It leverages network-layer technology (eBPF) for non-intrusive, language-agnostic recording and replaying of system interactions, removing the need for manual test scripting and code changes. Keploy seamlessly integrates with CI/CD pipelines, tracks coverage, and deduplicates redundant tests for efficient execution. Its mission is to maximize test coverage while minimizing manual effort, helping teams ship robust software faster and with greater confidence. The tool supports multiple tech stacks and provides native interoperability with popular testing libraries, offering both individual developers and enterprise teams scalable testing solutions.

How to use Keploy?

To use Keploy, install it into your development environment via its integrations or open-source tools, then run your application and generate API calls using any client (such as Postman or curl). Keploy automatically captures API traffic, records dependencies, and generates corresponding test cases and mocks. You can replay tests locally, in CI/CD pipelines, or across Kubernetes clusters without extra configuration, monitor test coverage, and use its deduplication and reporting tools for ongoing quality assurance.

Keploy's Core Features

• Records real API calls and network traffic automatically.

• Auto-generates repeatable test cases and data mocks.

• Mocks all external dependencies for CRUD operations.

• Replay tests anywhere: locally, CI/CD, or Kubernetes.

• Provides accurate detection of noisy or random fields.

• Seamlessly integrates with popular testing libraries (go-test, jUnit, jest, pyTest).

• No code changes required; works at the network layer.

• Fast integration framework for new libraries or drivers.

• Deduplicates and streamlines test cases for efficiency.

• Real-time coverage tracking and reporting.

• Open-source platform with enterprise support options.

Keploy's Use Cases

• #1

  Turn real API traffic into automated regression tests.

• #2

  Replace complex infrastructure dependencies with mocks in CI.

• #3

  Streamline unit testing for multiple tech stacks.

• #4

  Detect edge-case scenarios missed by manual tests.

• #5

  Easily add new testing libraries or drivers.

• #6

  Integrate with GitHub Actions or Kubernetes for continuous testing.

• #7

  Automate end-to-end, API, and integration testing.

• #8

  Measure code coverage across multiple repositories and teams.