Knapsack Pro

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

Gocheck

https://github.com/go-check/check

Green

https://github.com/CleanCut/green
Programming language

Go

Python

Category

Unit Testing

Unit Testing

General info

Rich testing framework for Go

Gocheck is a richer testing framework for Golang libraries and applications that includes checkers and assertions among many other features, it also works as an extension to the testing package and 'go test'

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, supports end-to-end testing so various front-end components can be tested

Yes

It can test front-end components of the django framework
Server-side
Allows testing the bahovior of a server-side code

Yes

Yes end-to-end testing means that various back-end components and behaviour can be tested

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

Yes

Fixtures are available with Gocheck either per suite and/or per setup and teardown

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.

Yes

Group fixtures are available as a suite

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

Simplified BSD 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

Through third party libraries like gomock

Yes

Through the use of Python's mock library
Grouping
Allows organizing tests in groups

Yes

When testing, developers can create suites of tests

N/A

Other
Other useful information about the testing framework