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

	Codedeception https://codeception.com/	Nose https://nose.readthedocs.io/en/latest/
Programming language	PHP	Python
Category	Unit Testing, Acceptance Testing/Functional Testing	Unit Testing, unittest Extensions
General info	Codeception is a full-stack testing framework for PHP It is inspired by BDD and provides a way of writing acceptance, functional and even unit tests. It is powered by PHPUnit.	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.	No	No
Client-side Allows testing code execution on the client, such as a web browser	Yes One is able to write acceptance tests which are used to look at functionality from a user's perspective. It is able to look at pages in browser (Chrome, Firefox or PhpBrowser)	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 It supports back-end tests, by writing functionaltests one can be able to test server behaviour	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 One can define a fixture and write the test with Codedeception, use the yii2-codedeceptionextention which will autoload fixtures for you	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.	Yes One can define group fixtures	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)	Yes Codeception provides Codeception\Stub library for building mocks and stubs for tests	Yes The nose library extends the built-in Python unittest module therefore has access to unittest.mock
Grouping Allows organizing tests in groups	Yes Codeception consists of three so-called “suites”: A “unit suite” for all unit tests, a “functional suite” for all functional tests, and an “acceptance suite” for all acceptance tests.	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