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

Artos

https://www.theartos.com/

unexpected

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

Java

JavaScript

Category

Functional Testing, End-to-End Testing, Unit Testing

Unit Testing

General info

Artos is an opensource BDD testing framework for writing Unit, Intergration and Functional tests

Artos includes pre-configured logging framework and extent reports, utilities to write flow for manual/semi-automated testing and supports BDD testing using cucumber scripts.

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 is a xUnit style framework

N/A

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

Yes

With Artos you can perform unit tests on front-end components

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

You can unit test server side behaviours and functionalities by testing specific back-end classes and functions

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

N/A

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.

N/A

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

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)

You can use a third party library like mockito

N/A

Grouping
Allows organizing tests in groups

Yes

Artos allows creation of test suites and they are run by use of a test script

N/A

Other
Other useful information about the testing framework