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

Spek

https://www.spekframework.org/

Green

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

Kotlin

Python

Category

Acceptance Testing, Unit Testing

Unit Testing

General info

Spek is a specification framework for Kotlin

Spek is a Kotlin-based Specification Testing framework for the JVM. It works as a JUnit 5 Test Engine meaning that we can easily plug it into any project that already uses JUnit 5 to run alongside any other tests that we might have.

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 you can test front-end behaviour by writing specifications to test front-end functionality. Developers can also write unit tests for 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

You can test back-end behaviour and componets by writing specifications to test back-end functionality and unit tests for individual 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

Yes

Fixtures are available in spek through functions suchas beforeEachTest() and afterEachTest()

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

spek has group fixtures available through the beforeGroup() and afterGroup() functions

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

Modified 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

You can use the third party library mockito-kotlin

Yes

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

Yes

Tests are written using nested lambdas, each scope (level) can either be a group or a test

N/A

Other
Other useful information about the testing framework