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

	Doctest https://docs.Python.org/2/library/doctest.html	Needle http://needle.spree.de/
Programming language	Python	Java
Category	Unit Testing	Unit Testing
General info	Doctest is an inbuilt test framework for Python Doctest is a test framework that comes prepackaged with Python. It is a simple library with a functionality that makes it possible to search for pieces of text that look like interactive Python sessions and executes these sessions to see if they work exactly as shown.	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 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 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	No Lacks fixture management which can make writing tests harder	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.	No Lacks fixture management	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.	N/A	N/A
Licence Licence type governing the use and redistribution of the software	MIT License	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)	A good external library for using Mocks with Doctest is minimocks	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 One can group tests	N/A
Other Other useful information about the testing framework