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

	Robot Framework https://robotframework.org/	Python Testify https://github.com/Yelp/Testify
Programming language	Python	Python
Category	Acceptance Testing	Unit Testing
General info	Robot is a Python framework used for acceptance/functional testing Robot is an automated test framework which has a simple plain text syntax and can be extended easily with Python or Java libraries. It can run on the .net-based IronPython and on Jython which is Java based.	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 Robot has a rich library and can also be easily integrated with Selenium for browser automation to test front-end components	Yes Front-end functionality and behaviour can be tested by Testify.
Server-side Allows testing the bahovior of a server-side code	Yes Robot can be used for back-end tests as well	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	There is no inbuilt way to work with fixtures in Robot however it can integrate with unittest and use fixtures that way	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.	By integrating with unittest	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 Robot has a library called the Robot Framework Faker library. It contains 147 keywords used for generating random test data	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	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 Robot can access Python's mock library for mocking	Yes It includes the turtle mock object library
Grouping Allows organizing tests in groups	Yes One can create a test suite with Robot	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