mock-server

You can set up a mock API server by configuring a routes.json file to define static REST endpoints, custom headers, and response delays, then running the server locally to provide instant mock data for frontend testing.

Yes, the mock server supports recording real API calls and replaying them later, allowing you to capture live responses and reuse them for offline frontend development and testing without hitting the backend.

Dynamic responses are generated using dynamic templates applied to REST endpoints, enabling you to script configurable mock data outputs via Python, shell, and JSON configurations.

Yes, the mock server accepts OpenAPI inputs alongside JSON, Python, and shell scripts to configure endpoints, regex path matching, and custom headers for serving mock API responses.

The best way to mock REST APIs with custom headers and delays is to define these parameters within a script-driven configuration or routes.json file, allowing the mock server to serve responses with specified latency and header injection.

Using a mock server decouples frontend development from backend availability, speeds up iteration by providing instant static and dynamic responses, and enables reliable offline testing by recording and replaying real API calls.