JBehave vs teenytest comparison of testing frameworks
What are the differences between JBehave and teenytest?

	JBehave https://jbehave.org/	teenytest https://github.com/testdouble/teenytest
Programming language	Java	JavaScript
Category	Acceptance Testing
General info	JBehave is a Behaviour-Driven Development testing framework for java JBehave is a Behaviour Driven Development framework. It intends to provide an intuitive and accessible way for automated acceptance testing	Teenytest is a simple, zero-config test runner for NodeJS Teenytest's CLI will run tests with zero public-API and zero configuration
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	No	Yes It supports xUnit output
Client-side Allows testing code execution on the client, such as a web browser	Yes You can test front-end behaviour (scenarios) with JBehave	No
Server-side Allows testing the bahovior of a server-side code	JBehave tests scenarios and behaviours of components, it can test back-end behaviour	Yes Teenytest tests database connections and other server-side components and behaviour
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	Yes You have a few options for using fixtures in JBehave: you can run your steps before/after each scenario by using LifeCycle: you can use @BeforeStory and @AfterStory annotations or you can define a dummy scenario with your setup/teardown steps	Yes It provides fixtures with the methods beforeAll(),afterEach() and afterAll()beforeAll() creates the browser and gives you a newPage() globalafterEach() will close any pages you created with newPage()afterAll() closes the browser
Group fixtures Allows defining a fixed, specific states of data for a group of tests (group-fixtures). This ensures specific environment for a given group of tests.	Yes You can define group fixtures with JBehave	Yes Teeny test supports grouping of fixtures
Generators Supports data generators for tests. Data generators generate input data for test. The test is then run for each input data produced in this way.	No
Licence Licence type governing the use and redistribution of the software	BSD-style license	MIT License
Mocks Mocks are objects that simulate the behavior of real objects. Using mocks allows testing some part of the code in isolation (with other parts mocked when needed)	The best way to mock is to use third party libraries like Mockito, Jmock or Jmockit	N/A
Grouping Allows organizing tests in groups	N/A	Yes Grouping is supported through nested tests in which any object can contain any combination of hooks, test functions, and additional sub-test objects.
Other Other useful information about the testing framework