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

	Python Testify https://github.com/Yelp/Testify	Needle http://needle.spree.de/
Programming language	Python	Java
Category	Unit Testing	Unit Testing
General info	A Python unit testing framework modelled after unittest Testify is modelled after unittest but has more features while still supporting unittest classes. It has more pythonic naming conventions, an better test runner output visually, a decorator-based approach to fixture methods among many other features	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 Front-end functionality and behaviour can be tested by Testify.	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 Testify can test various server and database behaviours and 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 Fixture methods are supported and it follows a decorator based approach, that is they are written similar to decorators	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 supported	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.	Yes One can create generator methods to yield runnable test methods which will pick out the test methods from your TestCases, and then exclude any in any of your exclude_suites method.If there are any require_suites, it will then further limit itself to test methods in those suites.	N/A
Licence Licence type governing the use and redistribution of the software	Apache License 2.0	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 It includes the turtle mock object library	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 Testify includes support for detecting and running test suites, grouped by modules, classes, or individual test methods.	N/A
Other Other useful information about the testing framework