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

mocha-parallel-tests

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

JDave

http://jdave.org/
Programming language

JavaScript

Java

Category

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

Acceptance Testing

General info

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

JDave is a BDD framework for Java

JDave is inspired by RSpec and integrates JMock 2 as mocking framework and Hamcrest as matching library. It uses JUnit adapter to launch JDave specifications. This way it is possible to have IDE, build tool and coverage tool support from day one.
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

N/A

No

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

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.

Yes

Front-end behaviour can be tested with JDave
Server-side
Allows testing the bahovior of a server-side code

Yes

Mocha-parallel-tests provides convenient ways of testing the Node server.

Yes

JDave can test server-side behaviour
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

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

Group fixtures are available

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

Apache License 2.0

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)

Provides Mocking capabilities through third party Libraries like sinon.js, simple-mock and nock

Yes

It integrates JMock 2 as mocking framework
Grouping
Allows organizing tests in groups

Yes

Grouping is supported and is accomplished by the using a nested 'describe()'

Yes

Specifications can be grouped by tagging them with @Group annotation.
Other
Other useful information about the testing framework