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

	Specter http://specter.sourceforge.net/	unittest https://docs.Python.org/3/library/unittest.html
Programming language	.NET	Python
Category	Acceptance Testing	Unit Testing
General info	Specter is a behaviour-driven development framework for .NET and Mono Specter enables behavior driven development (BDD) by allowing developers to write executable specifications for their objects, before actually implementing them, this is similar to test driven development however the different nomenclature makes it different from writing 'tests' for code that does not exist yet	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 Developers can create specfications of the expected front-end behaviours and test them	Yes Front-end functionality and behaviour can be tested by unittest.
Server-side Allows testing the bahovior of a server-side code	Yes Yes developers can create specfications of the expected back-end behaviours and test these.	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	N/A	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.	N/A	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.	N/A	Yes unittest contains generator methods in the module 'unittest.TestCase'
Licence Licence type governing the use and redistribution of the software	BSD 3-Clause 'New' or 'Revised' 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)	N/A	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 You can create your own test suites with specter	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