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

	Selenium https://pypi.org/project/selenium/	BeanTest https://github.com/NovatecConsulting/BeanTest
Programming language	Python	Java
Category	Web Automation	Unit Testing, Intergration 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	A testing solution for Java EE applications BeanTest is a testing solution for Java EE Applications which combines the speed of unit tests with almost the coverage of integration tests with minimal configuration and with standard and well known frameworks like JPA, CDI, Mockito and Junit
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 It is primarily a browser automation tool which tests front-end components and functionality	Yes You can test front-end components of your EE application
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 BeanTest is used to test business logic or the back-end that is information exchange between the database and the UI
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
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
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
Licence Licence type governing the use and redistribution of the software	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 includes support for mocking	Yes You are able to provide your own Mocks in BeanTest to test external dependencies
Grouping Allows organizing tests in groups	Yes By using the TestNG feature with which we can create groups and maintain them easily
Other Other useful information about the testing framework