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

HavaRunner

https://github.com/havarunner/havarunner

BeanTest

https://github.com/NovatecConsulting/BeanTest
Programming language

Java

Java

Category

Unit Testing

Unit Testing, Intergration 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.

A testing solution for Java EE applications

BeanTest is a testing solution for Java EE Applications which combines the speed of unit tests with almost the coverage of integration tests with minimal configuration and with standard and well known frameworks like JPA, CDI, Mockito and Junit
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

You can test front-end functionality and components with havarunner

Yes

You can test front-end components of your EE application
Server-side
Allows testing the bahovior of a server-side code

Yes

HavaRunner is able to test server side functions and components

Yes

BeanTest is used to test business logic or the back-end that is information exchange between the database and the UI
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

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

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

Licence
Licence type governing the use and redistribution of the software

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 are able to provide your own Mocks in BeanTest to test external dependencies
Grouping
Allows organizing tests in groups

Yes

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

Other
Other useful information about the testing framework