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