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

csUnit

http://www.csunit.org/

Green

https://github.com/CleanCut/green
Programming language

.NET

Python

Category

Unit Testing

Unit Testing

General info

csUnit is an open source unit testing tool for the .NET Framework

csUnit is designed to work with any .NET compliant language. It has specifically been tested with C#, Visual Basic .NET, Managed C++, and J#

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

csUnit is an xUnit type testing framework and follows xUnit concepts

No

Client-side
Allows testing code execution on the client, such as a web browser

Yes

You can unit test front-end components of your applications with csUnit

Yes

It can test front-end components of the django framework
Server-side
Allows testing the bahovior of a server-side code

Yes

You can unit test back-end components of your applications with csUnit

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

Yes

csUnit has fixture methods such as setup and teardown methods

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.

Yes

Group fixtures are available in csUnit

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

zlib 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)

You can write your own mock objects manually

Yes

Through the use of Python's mock library
Grouping
Allows organizing tests in groups

Yes

It contains recipes for combining several test assemblies into one test suite

N/A

Other
Other useful information about the testing framework