Greenhttps://github.com/CleanCut/green |
csUnithttp://www.csunit.org/ |
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Programming language |
Python |
.NET |
Category |
Unit Testing |
Unit Testing |
General info |
Green is a clean, colorful, fast Python test runnerThis 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 FrameworkcsUnit 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 |
YescsUnit is an xUnit type testing framework and follows xUnit concepts |
Client-side
Allows testing code execution on the client, such as a web browser |
YesIt can test front-end components of the django framework |
YesYou can unit test front-end components of your applications with csUnit |
Server-side
Allows testing the bahovior of a server-side code |
YesIt can test server-side behaviours of web applications written with Python |
YesYou 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 |
YescsUnit 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 |
YesGroup 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) |
YesThrough the use of Python's mock library |
You can write your own mock objects manually |
Grouping
Allows organizing tests in groups |
N/A |
YesIt contains recipes for combining several test assemblies into one test suite |
Other
Other useful information about the testing framework |
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