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

	Unitils http://www.unitils.org/summary.html	Python Testify https://github.com/Yelp/Testify
Programming language	Java	Python
Category	Unit Testing, Intergration Testing	Unit Testing
General info	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	A Python unit testing framework modelled after unittest Testify is modelled after unittest but has more features while still supporting unittest classes. It has more pythonic naming conventions, an better test runner output visually, a decorator-based approach to fixture methods among many other features
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 perform unit tests on various components and functionality that make up the front-end	Yes Front-end functionality and behaviour can be tested by Testify.
Server-side Allows testing the bahovior of a server-side code	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	Yes Testify can test various server and database behaviours and functionality
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test		Yes Fixture methods are supported and it follows a decorator based approach, that is they are written similar to decorators
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.		Yes Group fixtures are supported
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.		Yes One can create generator methods to yield runnable test methods which will pick out the test methods from your TestCases, and then exclude any in any of your exclude_suites method.If there are any require_suites, it will then further limit itself to test methods in those suites.
Licence Licence type governing the use and redistribution of the software		Apache License 2.0
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 It includes the turtle mock object library
Grouping Allows organizing tests in groups		Yes Testify includes support for detecting and running test suites, grouped by modules, classes, or individual test methods.
Other Other useful information about the testing framework