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

	DbUnit http://dbunit.sourceforge.net/	stestr https://pypi.org/project/stestr/
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	stestr is a Python test runner designed to execute unittest test suites stestr executes unittest test suites by using multiple processes to split up execution of a test suite then stores a history of all test runs to help in debugging failures and optimizing the scheduler to improve speed.
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 Stestr being a test runner that runs unittest tests, it can test fron-tend functionality and behaviour.
Server-side Allows testing the bahovior of a server-side code	Yes Yes its used to test database functionality	Yes Stestr being a test runner that runs unittest tests, it can run back-end tests for functionality and behaviour.
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 use of a third party library like Fixture
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	By use of a third party library like Fixture
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	Yes By using a library like test-generator
Licence Licence type governing the use and redistribution of the software	GNU 2.1 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)	No	N/A
Grouping Allows organizing tests in groups	No	N/A
Other Other useful information about the testing framework