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