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

Atoum

http://atoum.org/

Selenium

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

PHP

Python

Category

Unit Testing

Web Automation

General info

Atoum is a unit testing framework specific to the PHP language

Atoum is similar to SimpleTest and is designed to be implemented rapidly, simplify test development and allow for writing reliable, readable, and clear unit tests

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.

No

No

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

Yes

Autom can perform unit tests on various front-end components and behaviours

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

Autom can perform unit tests on servers/back-end components

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

By using the 'given()' method to setup your environment

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

By using the 'given()' method to setup your environments

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.

N/A

Yes

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

Atoum License

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)

Yes

By use of autom mocks which are decoupled and easier to maintain

Yes

It includes support for mocking
Grouping
Allows organizing tests in groups

Yes

By use of an extension for autom called blackfire which allows you to write blackfire test suites.

Yes

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