Hoverfly vs Traffic Parrot
Hoverfly
hoverfly.ioTraffic Parrot
trafficparrot.comSide by side
| Figure | Hoverfly | Traffic Parrot |
|---|---|---|
| Price from | $10/mo | — |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 1 |
| Spec score · Service Virtualization Software | 8.2 (#9) | 7.5 (#16) |
| Purpose | Hoverfly Cloud is a hosted API simulation and mocking platform for testing without relying on live API dependencies. | Traffic Parrot simulates APIs, services and systems so teams can test applications and microservices in isolation. |
| Support | iOCO offers Hoverfly Cloud team support by email and support portal with a guaranteed response within one business day during 9am–6pm GMT. | The maker lists support by email at [email protected]. |
Plans
In their own words
Hoverfly
Hoverfly Cloud is a hosted API simulation and mocking platform for testing without live API dependencies. It handles HTTP/S services including REST, SOAP, XML, JSON, and GraphQL. Users can capture and replay traffic, generate simulations from OpenAPI specifications, and match requests by methods, headers, parameters, and bodies. Simulations can delay responses, inject faults or errors, and modify replies. A command-line interface supports scripted configuration and testing pipelines. Hoverfly and hoverctl binaries run on macOS, Linux, and Windows, while documentation covers Docker and Kubernetes installation. The underlying Hoverfly framework is open source under Apache 2, has no GUI, and is generally run locally or in a user’s infrastructure. Cloud use cases include performance testing, functional testing, and development.
Traffic Parrot
Traffic Parrot simulates APIs, services, and other systems so teams can test applications and microservices separately from the systems they depend on. It records and replays HTTP(S), gRPC, JMS, IBM MQ, Thrift, and file-transfer traffic. Scripting and templates produce dynamic responses, while stateful simulation, fault injection, database virtualization, and messaging virtualization cover different test scenarios. APIs plus Maven and Gradle plugins support automation, and an MCP server lets AI assistants discover and call its tools with optional bearer-token authentication. It can run in Docker, Kubernetes, OpenShift, AWS, Azure, Google Cloud, CI/CD pipelines, laptops, or virtual machines. Java 17 or later is required. Windows, Linux, macOS, web, API, and self-hosted use are listed. Pricing is on request; Enterprise depends on licence count and selected features. A 14-day trial requires a business email. Shared-environment user management is unavailable.