Green vs Atoum comparison of testing frameworks
What are the differences between Green and Atoum?

	Green https://github.com/CleanCut/green	Atoum http://atoum.org/
Programming language	Python	PHP
Category	Unit Testing	Unit Testing
General info	Green is a clean, colorful, fast Python test runner This is a test runner that has pretty printing on output that makes results easy to read and understand. Some of its features include: Tests running in independent processes (fast), low redundancy in output (clean), supports pretty printing that is the terminal output, makes good use of color when the terminal supports it (colorful)	Atoum is a unit testing framework specific to the PHP language Atoum is similar to SimpleTest and is designed to be implemented rapidly, simplify test development and allow for writing reliable, readable, and clear 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 It can test front-end components of the django framework	Yes Autom can perform unit tests on various front-end components and behaviours
Server-side Allows testing the bahovior of a server-side code	Yes It can test server-side behaviours of web applications written with Python	Yes Autom can perform unit tests on servers/back-end components
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	N/A	Yes By using the 'given()' method to setup your environment
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.	N/A	Yes By using the 'given()' method to setup your environments
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	Atoum License
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 Through the use of Python's mock library	Yes By use of autom mocks which are decoupled and easier to maintain
Grouping Allows organizing tests in groups	N/A	Yes By use of an extension for autom called blackfire which allows you to write blackfire test suites.
Other Other useful information about the testing framework