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

unittest

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

JGiven

http://jgiven.org/
Programming language

Python

Java

Category

Unit Testing

Acceptance Testing

General info

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.

JGiven is a BDD tool for Java in plain java.

With JGiven Developers write scenarios in plain Java using a fluent, domain-specific API, JGiven generates reports that are readable by domain experts.
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

Yes

unittest is a xUnit style frameworkfor Python, it was previously called PyUnit.

No

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

Yes

Front-end functionality and behaviour can be tested by unittest.

Yes

You can test UI functionality or behaviour by writing scenarios that cover front-end behaviour
Server-side
Allows testing the bahovior of a server-side code

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

Yes

You can write 'scenarios' to test server-side behaviours
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

N/A

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'

N/A

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

Mocks are available from the library unittest.mock which allows you to replace parts of your system under test with mock objects

Yes

You can use third party libraries such as JMock and JMockit to mock objects and functions
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