stestrhttps://pypi.org/project/stestr/ |
Tyrtlehttps://github.com/spadgos/tyrtle |
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Programming language |
Python |
JavaScript |
Category |
Unit Testing |
Unit Testing |
General info |
stestr is a Python test runner designed to execute unittest test suitesstestr 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. |
Tyrtle is a Javascript unit testing framework that emphasises simplicity, cleanliness and expressiveness.Tyrtle runs either in the browser or on NodeJS. In a CommonJS environment (eg: Node, or the browser running RequireJS), nothing is added to the global space, and with plain Javascript in the browser, only one variable is added to the window object. This keeps it clean and ensures that it won't interfere with your codebase. |
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality. |
No |
N/A |
Client-side
Allows testing code execution on the client, such as a web browser |
YesStestr being a test runner that runs unittest tests, it can test fron-tend functionality and behaviour. |
YesFront-end pieces of code can be tested, you can test various components and functionality |
Server-side
Allows testing the bahovior of a server-side code |
YesStestr being a test runner that runs unittest tests, it can run back-end tests for functionality and behaviour. |
YesBack-end components and functions can be tested using tyrtle |
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test |
YesBy use of a third party library like Fixture |
N/A |
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 use of a third party library like Fixture |
N/A |
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. |
YesBy using a library like test-generator |
N/A |
Licence
Licence type governing the use and redistribution of the software |
Apache License 2.0 |
GNU GPL |
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 |
YesBy using Myrtle, a sister project of Tyrtle which provides various Mocking features such as: -Mocking (spying and stubbing functions); -Mock function generation; -Timer manipulation-Speed profiling |
Grouping
Allows organizing tests in groups |
N/A |
N/A |
Other
Other useful information about the testing framework |
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