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

	Tape https://github.com/substack/tape	Python Testify https://github.com/Yelp/Testify
Programming language	JavaScript	Python
Category	Unit Testing, Intergration Testing	Unit Testing
General info	tap-producing test harness for node and browsers. Tape API is a small superset of the node core assert module	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.	Yes It does support xUnit output	No
Client-side Allows testing code execution on the client, such as a web browser	Yes You can write tests for any part of your front-end code to test any component or functionality	Yes Front-end functionality and behaviour can be tested by Testify.
Server-side Allows testing the bahovior of a server-side code	Yes With tape you can test any back-end component, behaviour and functionality after all it supports TAP (Test Anything Protocol)	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	No Tape contains only the essential features for making assertions on your code but there is a package called redtape that extends tape to give you beforeEach and afterEach functionality	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.	No	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.	No	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	MIT License	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)	No Tape is a minimalistic framework that provides only essential features to make your assertions about your code	Yes It includes the turtle mock object library
Grouping Allows organizing tests in groups	No Tape contains only the essential features for making assertions on your code	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