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

Green

https://github.com/CleanCut/green

csUnit

http://www.csunit.org/
Programming language

Python

.NET

Category

Unit Testing

Unit Testing

General info

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)

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#
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

No

Yes

csUnit is an xUnit type testing framework and follows xUnit concepts
Client-side
Allows testing code execution on the client, such as a web browser

Yes

It can test front-end components of the django framework

Yes

You can unit test front-end components of your applications with csUnit
Server-side
Allows testing the bahovior of a server-side code

Yes

It can test server-side behaviours of web applications written with Python

Yes

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

csUnit has fixture methods such as setup and teardown methods
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

Yes

Group fixtures are available in csUnit
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

MIT License

zlib 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)

Yes

Through the use of Python's mock library

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

N/A

Yes

It contains recipes for combining several test assemblies into one test suite
Other
Other useful information about the testing framework