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

	Tyrtle https://github.com/spadgos/tyrtle	Green https://github.com/CleanCut/green
Programming language	JavaScript	Python
Category	Unit Testing	Unit Testing
General info	Tyrtle is a Javascript unit testing framework that emphasises simplicity, cleanliness and expressiveness. Tyrtle runs either in the browser or on NodeJS. In a CommonJS environment (eg: Node, or the browser running RequireJS), nothing is added to the global space, and with plain Javascript in the browser, only one variable is added to the window object. This keeps it clean and ensures that it won't interfere with your codebase.	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.	N/A	No
Client-side Allows testing code execution on the client, such as a web browser	Yes Front-end pieces of code can be tested, you can test various components and functionality	Yes It can test front-end components of the django framework
Server-side Allows testing the bahovior of a server-side code	Yes Back-end components and functions can be tested using tyrtle	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	N/A	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.	N/A	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	GNU GPL	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)	Yes By using Myrtle, a sister project of Tyrtle which provides various Mocking features such as: -Mocking (spying and stubbing functions); -Mock function generation; -Timer manipulation-Speed profiling	Yes Through the use of Python's mock library
Grouping Allows organizing tests in groups	N/A	N/A
Other Other useful information about the testing framework