TwistedTrial vs Guage comparison of testing frameworks
What are the differences between TwistedTrial and Guage?

	TwistedTrial https://twistedmatrix.com/trac/wiki/TwistedTrial	Guage https://gauge.org/
Programming language	Python	.NET
Category	Unit Testing, unittest Extensions	Acceptance Testing
General info	Trial is a unit testing framework for Python built by Twisted Matrix labs Trial is composed of two parts: First is a command-line test runner, which can be run on plain Python unit tests and can do automated unit-test discovery across files, modules, or even arbitrarily nested packages. Second is a test library, derived from Python's 'unittest.TestCase'	Gauge is a light-weight cross-platform test automation tool for writing acceptance tests. Gauge is a free and open source framework for writing and running acceptance tests. Some of its key features include: -Simple, flexible and rich syntax based on Markdown.; -Consistent cross platform/language support for writing test code.; -A modular architecture with plugins support.
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 components can be tested for example adding a web front-end using simple twisted.web.resource.Resource objects	Yes You can test front-end behaviour by creating testing specifications to test front-end behaviour
Server-side Allows testing the bahovior of a server-side code	Yes Server-side behaviour can be tested with Trial, it has various functions for this in the twisted.web.Resource package	Yes You can test back-end behaviour by creating testing specifications to test back-end behaviour
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	Yes Trial supports various fixture methods such as 'setUp()' and 'tearDown' functions fixture for normal semantics of setup, and teardown
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.	Yes Methods like 'setUp()' allow for creation of group fixtures
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.	Through use of third party libraries like test-generator.	N/A
Licence Licence type governing the use and redistribution of the software	MIT License	GNU General Public License v3.0
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 Trial can access the mock library inbuilt in python for mocking purposes	Yes You can create mocks using third party libraries like moq
Grouping Allows organizing tests in groups	Yes Trial allows tests to be grouped into test packages	Yes You can create test suites with Gauge which can be run using multiple parameters.
Other Other useful information about the testing framework