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Mockzilla is an open-source mock server for OpenAPI specifications, published by Mockzilla and currently available in version 2.8.10, with 17 versions released to date. Its purpose is to generate working API mocks directly from an OpenAPI specification: once pointed at a spec, it produces a functional mock in seconds, returning realistic schema-based responses that reflect the structure defined in the specification. Beyond basic response generation, Mockzilla validates incoming requests against the spec, helping teams catch malformed calls during development and testing. It also supports configurable latency and error simulation, allowing developers and testers to model slow or failing endpoints and observe how client applications behave under degraded conditions. Multiple APIs can be hosted on a single server, which simplifies environments where several services must be mocked at once. An additional capability is upstream proxying with automatic mock fallback: requests can be forwarded to a real upstream service, and when that service is unavailable, Mockzilla falls back to serving mocked responses, keeping workflows running even when dependencies are down. These features make the software relevant to the API development, testing, and DevOps tooling categories. Typical use cases include local development, where front-end or client teams can build against a mock before the real backend exists; CI/CD pipelines, where deterministic, self-contained mocks enable reliable automated testing without external dependencies; and offline or air-gapped environments, where access to live services is restricted or impossible. Because it derives behavior directly from the OpenAPI specification, Mockzilla keeps mocks aligned with the documented contract of the API, reducing drift between the mock and the real service. In summary, Mockzilla combines rapid mock generation, request validation, failure and latency simulation, multi-API hosting, and proxy fallback into a single open-source tool suitable for a wide range of development and testing scenarios across local, continuous integration, and isolated network environments.
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