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

	Green https://github.com/CleanCut/green	TickSpec https://github.com/fsprojects/TickSpec
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)	TickSpec is a lightweight Behaviour Driven Development (BDD) framework for .Net With TickSpeck you can describe behaviour in plain text using the Gherkin business language, execute the behaviour against matching F# 'ticked' methods, or attribute-tagged C# or F# methods, run via your normal test runners or plugins and set breakpoints in the scenarios, step definitions or your code and go (setting breakpoints in the Gherkin is currently not supported in .NET Standard version)
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 It can test front-end components of the django framework	Yes You can test front-end behaviour by creating feature specifications for front-end behaviour
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 code by creating feature specifications to test back-end behaviour
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 or are derived from the class FeatureFixture
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 TickSpec contains group fixtures
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	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 Through the use of Python's mock library	Yes By using a third party mocking library like moq
Grouping Allows organizing tests in groups	N/A	Yes You can create test suites with TickSpec
Other Other useful information about the testing framework