Python Testifyhttps://github.com/Yelp/Testify |
HavaRunnerhttps://github.com/havarunner/havarunner |
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Programming language |
Python |
Java |
Category |
Unit Testing |
Unit Testing |
General info |
A Python unit testing framework modelled after unittestTestify 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 |
HavaRuner is a Java test framework with built-in concurrency support, suites and scenariosHavaRunner is a Java test framework that has built in support for concurrency and enables you to create suites. You can run the same test against multiple scenarios and speeds up development cycles with faster tests.HavaRunner is a JUnit runner, which means that it is built on top of JUnit it's fairly straightforward to adopt it in a codebase that already has JUnit tests. |
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 |
YesFront-end functionality and behaviour can be tested by Testify. |
YesYou can test front-end functionality and components with havarunner |
Server-side
Allows testing the bahovior of a server-side code |
YesTestify can test various server and database behaviours and functionality |
YesHavaRunner is able to test server side functions and components |
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test |
YesFixture methods are supported and it follows a decorator based approach, that is they are written similar to decorators |
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. |
YesGroup fixtures are supported |
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. |
YesOne 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. |
N/A |
Licence
Licence type governing the use and redistribution of the software |
Apache License 2.0 |
MIT License |
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) |
YesIt includes the turtle mock object library |
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Grouping
Allows organizing tests in groups |
YesTestify includes support for detecting and running test suites, grouped by modules, classes, or individual test methods. |
YesYou can group your tests by annotating them as @PartOf a suite |
Other
Other useful information about the testing framework |
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