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

	stestr https://pypi.org/project/stestr/	NBi http://www.nbi.io/
Programming language	Python	.NET
Category	Unit Testing	Integration Testing, Unit Testing, Acceptance Testing
General info	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.	NBi is an open-source framework for testing Business Intelligence solutions or validating data quality. NBi helps you to create tests targeting your databases, cubes, etls and reports. Tests are written in xml using an intuitive syntax therefore thereis no need of any development language. Nbi tests target databases, cubes, etls and reports
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 Stestr being a test runner that runs unittest tests, it can test fron-tend functionality and behaviour.	No
Server-side Allows testing the bahovior of a server-side code	Yes Stestr being a test runner that runs unittest tests, it can run back-end tests for functionality and behaviour.	Yes Nbi tests Business intelligence software which retrieve, analyze, transform and report data therefore it targets databases, cubes, etls and reports and you can natively connect to any database supporting OleDb or ODBC connection
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	Yes By use of a third party library like Fixture	No
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.	By use of a third party library like Fixture	No
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.	Yes By using a library like test-generator	N/A
Licence Licence type governing the use and redistribution of the software	Apache License 2.0	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)	N/A	Yes You can create your own mock objects
Grouping Allows organizing tests in groups	N/A	Yes Yes, Nbi comes with a solution to automate, as much as possible, the creation of the test-suites through its user interface, named GenBI
Other Other useful information about the testing framework