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

	Lettuce https://pypi.org/project/lettuce/	mocha-parallel-tests https://www.npmjs.com/package/mocha-parallel-tests
Programming language	Python	JavaScript
Category	Unit Testing, Acceptance Testing	Unit Testing, Intergration Testing, End-to-End Testing
General info	Lettuce is a BDD testing tool for Python Lettuce is a testing tool for Python which is inspired by Ruby's Cucumber that supports Gherkin. It can execute plain-text functional descriptions as automated tests for Python projects just like Cucumber does for Ruby	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 However It can generate xml results for behaviour tests xUnit style	N/A
Client-side Allows testing code execution on the client, such as a web browser	Yes By integrating Lettuce with Selenium’s Python bindings, you have a robust framework for testing Django applications. It can test 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 Lettuce can test various server and database behaviours and interactions	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.	Yes By using a third party library	N/A
Licence Licence type governing the use and redistribution of the software	Unknown	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)	By adding the lettuce-tools library one has access to the Mock module to implement a configurable http REST mock.	Provides Mocking capabilities through third party Libraries like sinon.js, simple-mock and nock
Grouping Allows organizing tests in groups	Yes It allows grouping of tests	Yes Grouping is supported and is accomplished by the using a nested 'describe()'
Other Other useful information about the testing framework