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

	DbUnit http://dbunit.sourceforge.net/	Green https://github.com/CleanCut/green
Programming language	Java	Python
Category	Unit Testing	Unit Testing
General info	Dbunit is a Junit extension for unit testing database driven programs DbUnit has the ability to export and import your database data to and from XML datasets. Since version 2.0, DbUnit can also work with very large datasets when used in streaming mode and can also help you to verify that your database data match an expected set of values	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)
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	Yes It is a JUnit extension which is one of the most widely known members of the xUnit family	No
Client-side Allows testing code execution on the client, such as a web browser	No	Yes It can test front-end components of the django framework
Server-side Allows testing the bahovior of a server-side code	Yes Yes its used to test database functionality	Yes It can test server-side behaviours of web applications written with Python
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	N/A	N/A
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	N/A
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	GNU 2.1 License	MIT 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)	No	Yes Through the use of Python's mock library
Grouping Allows organizing tests in groups	No	N/A
Other Other useful information about the testing framework