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

	Nose https://nose.readthedocs.io/en/latest/	Needle http://needle.spree.de/
Programming language	Python	Java
Category	Unit Testing, unittest Extensions	Unit Testing
General info	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.	Needle is a lightweight framework for testing Java EE components outside of the container in isolation Needle reduces the test setup code by analysing dependencies and has automatic injection of mock objects by default. Therefore It will maximize the speed of development as well as the execution of unit tests
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 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	Yes You can test front-end components and functionality by testing individual front-end classes and functions
Server-side Allows testing the bahovior of a server-side code	Yes Nose can test back-end components and functionality as small units. One can write tests for each function that provides back-end functionality	Yes You can test back-end components and functionality.one of needles features is database testing via a JPA (Java Persistence API) like hibernate
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	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.	Yes It has setUp() and tearDown() functions which are mostly used to execute database operations
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 Group fixtures are allowed with nose, where a multitest state can be defined.	Yes The setUp() and tearDown functions can be used to define an environment for a group of tests
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.	Through use of third party libraries like test-generator and from the 'unittest.TestCase' library	N/A
Licence Licence type governing the use and redistribution of the software	GNU Library or Lesser General Public License (LGPL) (GNU LGPL)	GNU Lesser General Public License v2.1
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 The nose library extends the built-in Python unittest module therefore has access to unittest.mock	Yes One of needle's features is automatic injection of mock objects, it supports EasyMock and Mockito out of the box
Grouping Allows organizing tests in groups	Yes With nose it collects tests automatically and there’s no need to manually collect test cases into test suites.	N/A
Other Other useful information about the testing framework