BeanTesthttps://github.com/NovatecConsulting/BeanTest |
Greenhttps://github.com/CleanCut/green |
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Programming language |
Java |
Python |
Category |
Unit Testing, Intergration Testing |
Unit Testing |
General info |
A testing solution for Java EE applicationsBeanTest is a testing solution for Java EE Applications which combines the speed of unit tests with almost the coverage of integration tests with minimal configuration and with standard and well known frameworks like JPA, CDI, Mockito and Junit |
Green is a clean, colorful, fast Python test runnerThis is a test runner that has pretty printing on output that makes results easy to read and understand. Some of its features include: Tests running in independent processes (fast), low redundancy in output (clean), supports pretty printing that is the terminal output, makes good use of color when the terminal supports it (colorful) |
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 |
YesYou can test front-end components of your EE application |
YesIt can test front-end components of the django framework |
Server-side
Allows testing the bahovior of a server-side code |
YesBeanTest is used to test business logic or the back-end that is information exchange between the database and the UI |
YesIt can test server-side behaviours of web applications written with Python |
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test |
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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. |
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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. |
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N/A |
Licence
Licence type governing the use and redistribution of the software |
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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) |
YesYou are able to provide your own Mocks in BeanTest to test external dependencies |
YesThrough the use of Python's mock library |
Grouping
Allows organizing tests in groups |
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N/A |
Other
Other useful information about the testing framework |
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