Fixie vs Nose comparison of testing frameworks
What are the differences between Fixie and Nose?

	Fixie http://fixie.github.io/	Nose https://nose.readthedocs.io/en/latest/
Programming language	.NET	Python
Category	Unit Testing	Unit Testing, unittest Extensions
General info	Fixie is a .NET test framework similar to NUnit and xUnit Fixie allows test methods to be created and executed like other test frameworks, but takes a takes a conventions-based approach, which is a benefit as we do not need to use attributes to mark classes and methods as tests	Nose is a Python unit test framework This is a Python unit test framework that intergrates well with doctests, unnittests, and 'no-boilerplate tests', that is tests written from scratch without a specific boilerplate.
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	Yes fixie is an xUnit type testing framework	No
Client-side Allows testing code execution on the client, such as a web browser	Yes You can unit test front-end components of youra pplications with fixie	Yes nose is a unit testing tool which is very similar to unittest. It is basically unittest with extensions therefore just like unittest is can test front-end components and behaviour
Server-side Allows testing the bahovior of a server-side code	Yes You can unit test back-end components of your applications with fixie	Yes Nose can test back-end components and functionality as small units. One can write tests for each function that provides back-end functionality
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	Yes Yes, fixie has fixture methods for setting up tests and at the end of tests to destroy them	Yes nose supports fixtures at the package, module, class, and test case levels, so that initialization which can be expensive is done as infrequently as possible.
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 Group fixtures are allowed with nose, where a multitest state can be defined.
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	Through use of third party libraries like test-generator and from the 'unittest.TestCase' library
Licence Licence type governing the use and redistribution of the software	MIT License	GNU Library or Lesser General Public License (LGPL) (GNU LGPL)
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 The nose library extends the built-in Python unittest module therefore has access to unittest.mock
Grouping Allows organizing tests in groups	Yes You can group tests into suites	Yes With nose it collects tests automatically and there’s no need to manually collect test cases into test suites.
Other Other useful information about the testing framework