Keploy

Keploy is an open-source, Apache 2.0-licensed platform that converts live application traffic into reproducible tests and dependency sandboxes using eBPF and network-level interception, without requiring changes to application code. The tool captures incoming requests and outgoing calls to databases, queues, caches, and external APIs, then packages them into editable tests and mocks for replay against new builds, targeting regression detection in local or CI/CD environments. Enterprise features add production traffic recording, multi-environment support, and team governance.

Last 30 days Last commit Repository age Version License Self-hosted Repository Keploy converts live application traffic into reproducible tests and dependency sandboxes, without touching your application code. It uses eBPF and network-level interception to capture incoming requests alongside every outgoing call to databases, queues, caches, and external APIs, then packages all of that into editable tests and mocks you can replay against any new build. The core use case is regression detection. When a developer or an AI coding agent changes something, Keploy replays the recorded behavior and flags differences in responses, schemas, contracts, or performance. That loop runs locally or inside a CI/CD pipeline, so problems surface before code is merged. Key capabilities: Compared to tools like Mockoon /mockoon for manual mock creation or Testfully /alternatives/testfully for request-based API testing, Keploy's distinguishing move is deriving both tests and mocks from real behavior rather than requiring developers to define and maintain them. That matters most for teams where integration test coverage is thin because writing mocks is slow, or where AI-generated code is being merged faster than manual tests can keep up. The core record-and-replay platform is open source under Apache 2.0. Enterprise features add production traffic recording, multi-environment support, and team governance on top. Every Sunday we deconstruct one proprietary app and pick the best open source alternatives worth switching to. Stars