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

Artos

https://www.theartos.com/

TwistedTrial

https://twistedmatrix.com/trac/wiki/TwistedTrial
Programming language

Java

Python

Category

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

Unit Testing, unittest Extensions

General info

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.

Trial is a unit testing framework for Python built by Twisted Matrix labs

Trial is composed of two parts: First is a command-line test runner, which can be run on plain Python unit tests and can do automated unit-test discovery across files, modules, or even arbitrarily nested packages. Second is a test library, derived from Python's 'unittest.TestCase'
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

Yes

It is a xUnit style framework

No

Client-side
Allows testing code execution on the client, such as a web browser

Yes

With Artos you can perform unit tests on front-end components

Yes

Front-end components can be tested for example adding a web front-end using simple twisted.web.resource.Resource objects
Server-side
Allows testing the bahovior of a server-side code

Yes

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

Yes

Server-side behaviour can be tested with Trial, it has various functions for this in the twisted.web.Resource package
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

N/A

Yes

Trial supports various fixture methods such as 'setUp()' and 'tearDown' functions fixture for normal semantics of setup, and teardown
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

Yes

Methods like 'setUp()' allow for creation of group fixtures
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

Through use of third party libraries like test-generator.
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)

You can use a third party library like mockito

Yes

Trial can access the mock library inbuilt in python for mocking purposes
Grouping
Allows organizing tests in groups

Yes

Artos allows creation of test suites and they are run by use of a test script

Yes

Trial allows tests to be grouped into test packages
Other
Other useful information about the testing framework