Knapsack Pro

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

teenytest

https://github.com/testdouble/teenytest

Testify

https://github.com/Yelp/Testify
Programming language

JavaScript

Python

Category

Unit Testing

General info

Teenytest is a simple, zero-config test runner for NodeJS

Teenytest's CLI will run tests with zero public-API and zero configuration

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 supports xUnit output

No

Client-side
Allows testing code execution on the client, such as a web browser

No

Yes

Front-end functionality and behaviour can be tested by Testify.
Server-side
Allows testing the bahovior of a server-side code

Yes

Teenytest tests database connections and other server-side components and behaviour

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

It provides fixtures with the methods beforeAll(),afterEach() and afterAll()beforeAll() creates the browser and gives you a newPage() globalafterEach() will close any pages you created with newPage()afterAll() closes the browser

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

Teeny test supports grouping of fixtures

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

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)

N/A

Yes

It includes the turtle mock object library
Grouping
Allows organizing tests in groups

Yes

Grouping is supported through nested tests in which any object can contain any combination of hooks, test functions, and additional sub-test objects.

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