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

TwistedTrial

https://twistedmatrix.com/trac/wiki/TwistedTrial

NBi

http://www.nbi.io/
Programming language

Python

.NET

Category

Unit Testing, unittest Extensions

Integration Testing, Unit Testing, Acceptance Testing

General info

Trial is a unit testing framework for Python built by Twisted Matrix labs

Trial is composed of two parts: First is a command-line test runner, which can be run on plain Python unit tests and can do automated unit-test discovery across files, modules, or even arbitrarily nested packages. Second is a test library, derived from Python's 'unittest.TestCase'

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

Front-end components can be tested for example adding a web front-end using simple twisted.web.resource.Resource objects

No

Server-side
Allows testing the bahovior of a server-side code

Yes

Server-side behaviour can be tested with Trial, it has various functions for this in the twisted.web.Resource package

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

Trial supports various fixture methods such as 'setUp()' and 'tearDown' functions fixture for normal semantics of setup, and teardown

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.

Yes

Methods like 'setUp()' allow for creation of group fixtures

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.

Through use of third party libraries like test-generator.

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

Trial can access the mock library inbuilt in python for mocking purposes

Yes

You can create your own mock objects
Grouping
Allows organizing tests in groups

Yes

Trial allows tests to be grouped into test packages

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