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

	unittest https://docs.Python.org/3/library/unittest.html	Artos https://www.theartos.com/
Programming language	Python	Java
Category	Unit Testing	Functional Testing, End-to-End Testing, Unit 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.	Artos is an opensource BDD testing framework for writing Unit, Intergration and Functional tests Artos includes pre-configured logging framework and extent reports, utilities to write flow for manual/semi-automated testing and supports BDD testing using cucumber scripts.
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.	Yes It is a xUnit style framework
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 With Artos you can perform unit tests on front-end components
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 unit test server side behaviours and functionalities by testing specific back-end classes and functions
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	N/A
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	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	You can use a third party library like mockito
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	Yes Artos allows creation of test suites and they are run by use of a test script
Other Other useful information about the testing framework