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

	Testify https://github.com/stretchr/testify	mocha-parallel-tests https://www.npmjs.com/package/mocha-parallel-tests
Programming language	Go	JavaScript
Category	Unit Testing	Unit Testing, Intergration Testing, End-to-End Testing
General info	A set of golang packages that has many tools for testing Go code Testify is a Go testing framework that has some great features like easier assertions, Test suite Interfaces, and Mocks	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 Yes, since it is also easily hooked to 'testing' package it is used to test front-end components	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 Yes it can also be used to test back-end components and functionality	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	N/A	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	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 Its 'mock' package has a mechanism for easily writing mock objects that are used in place of real objects	Provides Mocking capabilities through third party Libraries like sinon.js, simple-mock and nock
Grouping Allows organizing tests in groups	Yes Using the 'suite' package developers can build a test suite as a struct build teardown and setup methods as well as testing methods on the struct then run them with 'go test'	Yes Grouping is supported and is accomplished by the using a nested 'describe()'
Other Other useful information about the testing framework