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

	HavaRunner https://github.com/havarunner/havarunner	EvoSuite http://www.evosuite.org/
Programming language	Java	Java
Category	Unit 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.	EvoSuite is a tool that automatically generates unit tests for Java software EvoSuite is a tool that automatically generates test cases with assertions for classes written in Java code by applying a hybrid approach that generates and optimizes whole test suites towards satisfying a coverage criterion
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 code by testing the classes that provide front-end functionality
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 test server-side functionality and components
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	N/A	You can write your own fixtures but no inbuilt fixtures are provided
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	GNU 2.1 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)		No
Grouping Allows organizing tests in groups	Yes You can group your tests by annotating them as @PartOf a suite	Yes Suites are generated automatically in evosuite
Other Other useful information about the testing framework