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

	Artos https://www.theartos.com/	Unitils http://www.unitils.org/summary.html
Programming language	Java	Java
Category	Functional Testing, End-to-End Testing, Unit Testing	Unit Testing, Intergration Testing
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.	Unitils is an open source library whose goal is to make unit and integration testing easy and maintainable. Unitils is divided into modules, each of them providing support for a certain aspect of your unit and integration tests. For example if you need mocking for your tests, just include unitils-mock as a dependency, If you would also want to load DbUnit data sets, just include unitils-dbunit
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 You can perform unit tests on various components and functionality that make up the front-end
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 Unitils provides support for testing the back-end through modules such as DbUnit which specifically tests your database, i.e connections setup and so on
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)	You can use a third party library like mockito
Grouping Allows organizing tests in groups	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