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JDave vs TestOOB comparison of testing frameworks
What are the differences between JDave and TestOOB?

JDave

http://jdave.org/

TestOOB

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

Java

Python

Category

Acceptance Testing

Unit Testing, unittest Extensions

General info

JDave is a BDD framework for Java

JDave is inspired by RSpec and integrates JMock 2 as mocking framework and Hamcrest as matching library. It uses JUnit adapter to launch JDave specifications. This way it is possible to have IDE, build tool and coverage tool support from day one.

Testoob is an advanced unit testing framework for Python.

Testoob integrates with existing unittest test suites. It contains many features like: a filter which tests to run with regular expressions, output test results as XML/HTML/PDF, test skipping, color output on a terminal and more.
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

Yes

Front-end behaviour can be tested with JDave

Yes

Testoob can test front-end features since it is a unit testing tool. One can write a test for each function that is on the client side
Server-side
Allows testing the bahovior of a server-side code

Yes

JDave can test server-side behaviour

Yes

Testoob can test back-end functionality since it is a unit testing tool. One can write a test for each function in the back-end.
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

TestOOB extends unittest and prepares fixtures by use of the 'setUp() function just like unittest
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

Yes

The 'setUp()' function allows you to group your initialization functions
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

N/A

Licence
Licence type governing the use and redistribution of the software

Apache License 2.0

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)

Yes

It integrates JMock 2 as mocking framework

Yes

Mocks are available - testoob can acess library unittest.mock which is used for mocking
Grouping
Allows organizing tests in groups

Yes

Specifications can be grouped by tagging them with @Group annotation.

Yes

One can build suites with testoob
Other
Other useful information about the testing framework