Mockoon and Beeceptor logos side by side

Comparison between Mockoon and Beeceptor API mocking

Discover the differences between Beeceptor online API mocking and Mockoon's desktop application and CLI mocking features

Beeceptor is an online service enabling developers to mock REST APIs. It offers an easy-to-use and quick way to intercept requests and create mock API servers. The mock API endpoints are deployed to a cloud service and allow for complex configuration thanks to a rules system and a templating language identical to the one Mockoon uses. While Mockoon provides a similar mocking experience, it has a different approach as it offers an offline, privacy-friendly desktop application. Coupled with the CLI that allows you to deploy your REST mocks anywhere, it gives the power needed to automate your development and testing. Mockoon is easy to use and has no learning curve. You can easily start using it and create your first mock API in under a minute. From a powerful templating system to generate dynamic and realistic mock data to a proxy mode to partially mock API endpoints, Mockoon takes API mocking to the next level. It also offers many customization options: status codes, dynamic headers, rules system, etc.

Beeceptor (left) and Mockoon (right) UIs side by sideBeeceptor (left) and Mockoon (right) UIs side by side

 Features comparison

FeaturesBeeceptorMockoon
Offline/Cloud basedCloud only
Deployed on a beeceptor.com subdomain
Offline (desktop application)
Deploy anywhere with the CLI, Docker image and GitHub Action
Free/paid servicePaid
Free, up to 50 requests/endpoint/day (endpoints are public)
Free
Open-source
CLI
CLI is used to tunnel to an online Beeceptor mock API

A CLI, Docker image and GitHub Action are available
Proxy mode
Can intercept and forward the traffic

Documentation
OpenAPI support
Supports OpenAPI specification import

Documentation
Recording
Mocks can be created from previously called endpoints

Mockoon can create mock endpoints based on entering requests
CRUD operations
Automated CRUD endpoints with fake databases
Response rules
Rules can match request's path or body content

Advanced system of rules
Dynamic/realistic data
Templating system similar to Mockoon's one

Advanced templating system and AI assistant to generate realistic fake data
File serving
Documentation
Custom headers
At endpoint's level

At endpoint's and server's levels
Supports templating helpers for dynamically generated headers
Customizable status code
Route regex
Documentation
GraphQL support
CORS and pre-flight handling
CORS is enabled on the remote server

Automatically answers 200 to OPTIONS pre-flight requests
Headers can be customized
Slow network/server simulation
At endpoint's level

At server's and endpoint's levels