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

	Green https://github.com/CleanCut/green	LightBDD https://github.com/LightBDD/LightBDD
Programming language	Python	.NET
Category	Unit Testing	Acceptance 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)	LightBDD is a BDD test framework that allows you to create easy to read and maintainable tests LightBDD is a BDD test framework offering ability to write tests that are easy to read, easy to track during execution and are summarized in user friendly reports. It also allows developers to use all of the standard development tools to maintain them
xUnit Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.	No	No No, but it is Integrated with xUnit frameworkslike NUnit, xUnit, MsTest.TestFramework and Fixie.
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 test front-end behaviour using lightBDD
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 test back-end behaviour/functionality using lightBDD
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 Fixtures are available through the FeatureFixture class.
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 lightBDD through the FeatureFixture class
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	Proprietary 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	Yes Mocking is available through the use of third party libraries like moq
Grouping Allows organizing tests in groups	N/A	Yes You can group tests into suites
Other Other useful information about the testing framework