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

HavaRunner

https://github.com/havarunner/havarunner

Artos

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

Java

Java

Category

Unit Testing

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

General info

HavaRuner is a Java test framework with built-in concurrency support, suites and scenarios

HavaRunner is a Java test framework that has built in support for concurrency and enables you to create suites. You can run the same test against multiple scenarios and speeds up development cycles with faster tests.HavaRunner is a JUnit runner, which means that it is built on top of JUnit it's fairly straightforward to adopt it in a codebase that already has JUnit tests.

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

You can test front-end functionality and components with havarunner

Yes

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

Yes

HavaRunner is able to test server side functions and components

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)

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

Yes

You can group your tests by annotating them as @PartOf a suite

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