Knapsack Pro

unexpected vs stestr comparison of testing frameworks
What are the differences between unexpected and stestr?

unexpected

http://unexpected.js.org/

stestr

https://pypi.org/project/stestr/
Programming language

JavaScript

Python

Category

Unit Testing

Unit Testing

General info

An extensible BDD assertion toolkit

Unexpected is an extensible BDD assertion toolkit that is compatible with all test frameworks,is Node.js ready (require('unexpected')) and supports asynchronous assertions using promises among other features. It can be used with any test runner that catches exceptions, but the developer recommends Mocha, Jest or Jasmine as they are integrated tested with every release

stestr is a Python test runner designed to execute unittest test suites

stestr executes unittest test suites by using multiple processes to split up execution of a test suite then stores a history of all test runs to help in debugging failures and optimizing the scheduler to improve speed.
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

N/A

No

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

Yes

Unexpected can be used in a browser environment to test front-end components and functionality

Yes

Stestr being a test runner that runs unittest tests, it can test fron-tend functionality and behaviour.
Server-side
Allows testing the bahovior of a server-side code

Yes

Unexpected is used in a Node.JS environment to test server behaviour and functionality

Yes

Stestr being a test runner that runs unittest tests, it can run back-end tests for functionality and behaviour.
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

N/A

Yes

By use of a third party library like Fixture
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

By use of a third party library like Fixture
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

Yes

By using a library like test-generator
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

N/A

Grouping
Allows organizing tests in groups

N/A

N/A

Other
Other useful information about the testing framework