Selenium vs Tyrtle comparison of testing frameworks
What are the differences between Selenium and Tyrtle?

	Selenium https://pypi.org/project/selenium/	Tyrtle https://github.com/spadgos/tyrtle
Programming language	Python	JavaScript
Category	Web Automation	Unit Testing
General info	Selenium is an open source tool used to test web applications Selenium is a powerful testing tool which can send standard Python commands to different browsers, despite variations in browser design. It also provides extensions to emulate user interaction with browsers, a distribution server for scaling browser allocation, and the infrastructure for implementations of the W3C WebDriver specification that lets you write interchangeable code for all major web browsers	Tyrtle is a Javascript unit testing framework that emphasises simplicity, cleanliness and expressiveness. Tyrtle runs either in the browser or on NodeJS. In a CommonJS environment (eg: Node, or the browser running RequireJS), nothing is added to the global space, and with plain Javascript in the browser, only one variable is added to the window object. This keeps it clean and ensures that it won't interfere with your codebase.
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 It is primarily a browser automation tool which tests front-end components and functionality	Yes Front-end pieces of code can be tested, you can test various components and functionality
Server-side Allows testing the bahovior of a server-side code	Yes It can perform Unit tests and can test various components and behaviours in the backend using a BDD or TDD approach	Yes Back-end components and functions can be tested using tyrtle
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	Yes By writing your Selenium WebDriver tests in PyTest, this gives you access to Pytest's powerful fixture model	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 One can group fixtures if accessing Pytest's fixture model	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.	Yes By using a library such as Faker or Fake-factory	N/A
Licence Licence type governing the use and redistribution of the software	Apache License 2.0	GNU GPL
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 It includes support for mocking	Yes By using Myrtle, a sister project of Tyrtle which provides various Mocking features such as: -Mocking (spying and stubbing functions); -Mock function generation; -Timer manipulation-Speed profiling
Grouping Allows organizing tests in groups	Yes By using the TestNG feature with which we can create groups and maintain them easily	N/A
Other Other useful information about the testing framework