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