Knapsack Pro

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

MSTest

https://github.com/microsoft/testfx-docs

Selenium

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

.NET

Python

Category

Unit Testing

Web Automation

General info

MSTest is a Unit testing framework for the .net framework

MSTest is fully integrated with Visual Studios and works natively without the need for any plugins. MSTest is better suited for only using Microsoft technologies rather than mixed technology environments.

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

MsTest is an xUnit type framework

No

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

Yes

MsTest can test various 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

With MSTest you can test various back-end components individually

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

MSTest contains fixture methods TestInitialize to setup your environment and TestCleanup to destroy the test 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

Group fixtures are available

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

Creative Commons Attribution 3.0 International Public 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

You can create mock objects using the third party library moq

Yes

It includes support for mocking
Grouping
Allows organizing tests in groups

Yes

Grouping of tests into suites is possible with MSTest

Yes

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