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