Test::Unit vs Selenium comparison of testing frameworks
What are the differences between Test::Unit and Selenium?

Test::Unit

https://test-unit.github.io/

Selenium

https://pypi.org/project/selenium/
Programming language

Ruby

Python

Category

Unit Testing, Intergration Testing

Web Automation

General info

Test::Unit is a unit testing framework for Ruby

Test::Unit is an implementation of the xUnit testing framework for ruby which is used for Unit Testing. However Test::Unit has been left in the standard library to support legacy test suites therefore if you are writing new test code use Minitest instead of Test::Unit

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
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

Yes

test-unit is a xUnit family unit testing framework for Ruby

No

Client-side
Allows testing code execution on the client, such as a web browser

It could have tested some front-end components but its now legacy hence wouldn't work with the many new front-end components

Yes

It is primarily a browser automation tool which tests front-end components and functionality
Server-side
Allows testing the bahovior of a server-side code

Yes

Yes

It can perform Unit tests and can test various components and behaviours in the backend using a BDD or TDD approach
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

Yes

Fixture methods are available through its ClassMethods Module

Yes

By writing your Selenium WebDriver tests in PyTest, this gives you access to Pytest's powerful fixture model
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 fixture methods are supported

Yes

One can group fixtures if accessing Pytest's fixture model
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.

No

Yes

By using a library such as Faker or Fake-factory
Licence
Licence type governing the use and redistribution of the software

LGPLv2.1, Ruby Licence

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)

No

Yes

It includes support for mocking
Grouping
Allows organizing tests in groups

No

Yes

By using the TestNG feature with which we can create groups and maintain them easily
Other
Other useful information about the testing framework