JGiven vs mocha-parallel-tests comparison of testing frameworks
What are the differences between JGiven and mocha-parallel-tests?

JGiven

http://jgiven.org/

mocha-parallel-tests

https://www.npmjs.com/package/mocha-parallel-tests
Programming language

Java

JavaScript

Category

Acceptance Testing

Unit Testing, Intergration Testing, End-to-End Testing

General info

JGiven is a BDD tool for Java in plain java.

With JGiven Developers write scenarios in plain Java using a fluent, domain-specific API, JGiven generates reports that are readable by domain experts.

mocha-parallel-tests is a test runner for tests written with mocha testing framework.

mocha-parallel-tests allows you to run your tests in parallel and executes each of your test files in a separate process while still maintaining the output of mocha
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

No

N/A

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

Yes

You can test UI functionality or behaviour by writing scenarios that cover front-end behaviour

Yes

Mocha-parallel-tests Runs in the browser and is used widely to test front-end components and functionality. It can test various DOM elements, front-end functions and so on.
Server-side
Allows testing the bahovior of a server-side code

Yes

You can write 'scenarios' to test server-side behaviours

Yes

Mocha-parallel-tests provides convenient ways of testing the Node server.
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

Mocha, which is the the framework which mocha-parallel-tests runs provides the hooks before(), after(), beforeEach(), and afterEach() to set up preconditions and clean up after your tests
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

Yes

Group fixtures are available
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

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)

Yes

You can use third party libraries such as JMock and JMockit to mock objects and functions

Provides Mocking capabilities through third party Libraries like sinon.js, simple-mock and nock
Grouping
Allows organizing tests in groups

Yes

Grouping is supported and is accomplished by the using a nested 'describe()'
Other
Other useful information about the testing framework