Knapsack Pro

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

Green

https://github.com/CleanCut/green

Artos

https://www.theartos.com/
Programming language

Python

Java

Category

Unit Testing

Functional Testing, End-to-End Testing, Unit Testing

General info

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)

Artos is an opensource BDD testing framework for writing Unit, Intergration and Functional tests

Artos includes pre-configured logging framework and extent reports, utilities to write flow for manual/semi-automated testing and supports BDD testing using cucumber scripts.
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

No

Yes

It is a xUnit style framework
Client-side
Allows testing code execution on the client, such as a web browser

Yes

It can test front-end components of the django framework

Yes

With Artos you can perform unit tests on front-end components
Server-side
Allows testing the bahovior of a server-side code

Yes

It can test server-side behaviours of web applications written with Python

Yes

You can unit test server side behaviours and functionalities by testing specific back-end classes and functions
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

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

Through the use of Python's mock library

You can use a third party library like mockito
Grouping
Allows organizing tests in groups

N/A

Yes

Artos allows creation of test suites and they are run by use of a test script
Other
Other useful information about the testing framework