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

	Green https://github.com/CleanCut/green	Cuppa http://cuppa.forgerock.org/
Programming language	Python	Java
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)	Cuppa is a testing framework for Java 8+ Cuppa is a testing framework for Java 8+ that is descriptive that is; it uses strings,not identifiers , to clearly describe the behaviour you are testing it also allows you to Group tests together by creating a structure in your test files to reduce repetition and improve readability and also you Define tests at runtime
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 You can test your front-end code as individual components of code
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 You can test server-side components and functionality with Cuppa.
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 Fixtures are available via the Setup and Teardown functions
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 You groups of tests can share these fixture methods
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	Apache License 2.0
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	N/A
Grouping Allows organizing tests in groups	N/A	Yes This is a feature of cuppa, it allows you to group your tests together
Other Other useful information about the testing framework