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

BeanTest

https://github.com/NovatecConsulting/BeanTest

unittest

https://docs.Python.org/3/library/unittest.html
Programming language

Java

Python

Category

Unit Testing, Intergration Testing

Unit Testing

General info

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

unittest is a unit testing framework for Python

The unittest test framework is Python’s xUnit style framework. It is a standard module that is bundled with Python and supports the automation and aggregation of tests and common setup and shutdown code for them.
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

No

Yes

unittest is a xUnit style frameworkfor Python, it was previously called PyUnit.
Client-side
Allows testing code execution on the client, such as a web browser

Yes

You can test front-end components of your EE application

Yes

Front-end functionality and behaviour can be tested by unittest.
Server-side
Allows testing the bahovior of a server-side code

Yes

BeanTest is used to test business logic or the back-end that is information exchange between the database and the UI

Yes

Since the webserver funtionalities have their own features and each feature has its own functions, we can write tests with unittest to test each function
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

Yes

By use of the 'setUp()' function which is called to prepare the test fixture
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

unittest allows you to group your initialization code into a setUp function and clean up code in a tearDown function
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

unittest contains generator methods in the module 'unittest.TestCase'
Licence
Licence type governing the use and redistribution of the software

MIT License

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 are able to provide your own Mocks in BeanTest to test external dependencies

Yes

Mocks are available from the library unittest.mock which allows you to replace parts of your system under test with mock objects
Grouping
Allows organizing tests in groups

Yes

One can build suites either manually or use test discovery to build the suite automatically by scanning a directory
Other
Other useful information about the testing framework