Knapsack Pro

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

SimpleTest

https://github.com/simpletest/simpletest

Selenium

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

PHP

Python

Category

Unit Testing, Web Testing

Web Automation

General info

SimpleTest is a unit test and web test framework for PHP

It has JWebUnit style functionality and support for SSL, forms, frames, proxies and basic authentication

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

With SimpleTest common but fiddly PHP tasks, such as logging into a site, can be tested easily

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

Server-side behaviour can be tested by writing simple unit tests to test functionality and behaviour of single 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

It can import fixtures using a mixin like 'given()' method

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

It allows grouping of fixtures

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.

Yes

Simpletest has support for generators

Yes

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

GNU Lesser General Public License v2.1

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

It allows for one to build Mock objects.To create a mock version of a class we need to include the mock object library and run the generator. This will create a clone class which we use to create new instances(objects) in our test cases.

Yes

It includes support for mocking
Grouping
Allows organizing tests in groups

Yes

There are several ways of grouping tests; one is to simply place multiple test cases into a single file, another is to mark any base test cases that should not be run as abstract, Simpletest gives you a couple of options

Yes

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