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

	Ginkgo http://onsi.github.io/ginkgo/	Green https://github.com/CleanCut/green
Programming language	Go	Python
Category	Unit Testing, Intergration Testing	Unit Testing
General info	BDD testing framework for Go Ginkgo is a BDD testing framework for Go that has a great matcher library to go with it called Gomega and intergrates with the standard testing library	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.	No	No
Client-side Allows testing code execution on the client, such as a web browser	Yes Yes, by creating unit tests then testing individual front-end components	Yes It can test front-end components of the django framework
Server-side Allows testing the bahovior of a server-side code	Yes Yes by creating unit tests then testing various back-end components	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.	Yes They are available by running the command: 'ginko bootstrap'	N/A
Licence Licence type governing the use and redistribution of the software	MIT License	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 Dvelopers can generate mocks by using the third party package 'gomock'	Yes Through the use of Python's mock library
Grouping Allows organizing tests in groups	Yes Ginkgo allows you to group tests in 'Describe' and 'Context' container blocks. It also provides 'It' and 'Specify' blocks to hold your assertions	N/A
Other Other useful information about the testing framework