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

mocha-parallel-tests

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

Wallaby

https://github.com/elixir-wallaby/wallaby
Programming language

JavaScript

Elixir

Category

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

Intergration Testing, Browser Automation

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

Library for end-to-end intergration testing for Elixir apps

Wallaby supports concurrent feature testing (i.e multiple tests can run concurrently) as well as browser management
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

It works well for automated E2E testing; Wallaby also has an experimental Chrome Driver that works well
Server-side
Allows testing the bahovior of a server-side code

Yes

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

N/A
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

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)

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

Yes

Available through third party libraries like Mock and Mockery
Grouping
Allows organizing tests in groups

Yes

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

N/A

Other
Other useful information about the testing framework