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

teenytest

https://github.com/testdouble/teenytest

unexpected

http://unexpected.js.org/
Programming language

JavaScript

JavaScript

Category

Unit Testing

General info

Teenytest is a simple, zero-config test runner for NodeJS

Teenytest's CLI will run tests with zero public-API and zero configuration

An extensible BDD assertion toolkit

Unexpected is an extensible BDD assertion toolkit that is compatible with all test frameworks,is Node.js ready (require('unexpected')) and supports asynchronous assertions using promises among other features. It can be used with any test runner that catches exceptions, but the developer recommends Mocha, Jest or Jasmine as they are integrated tested with every release
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

Yes

It supports xUnit output

N/A

Client-side
Allows testing code execution on the client, such as a web browser

No

Yes

Unexpected can be used in a browser environment to test front-end components and functionality
Server-side
Allows testing the bahovior of a server-side code

Yes

Teenytest tests database connections and other server-side components and behaviour

Yes

Unexpected is used in a Node.JS environment to test server behaviour and functionality
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

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

N/A

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

Teeny test supports grouping of fixtures

N/A

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.

N/A

Licence
Licence type governing the use and redistribution of the software

MIT 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)

N/A

N/A

Grouping
Allows organizing tests in groups

Yes

Grouping is supported through nested tests in which any object can contain any combination of hooks, test functions, and additional sub-test objects.

N/A

Other
Other useful information about the testing framework