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

	TwistedTrial https://twistedmatrix.com/trac/wiki/TwistedTrial	Goconvey https://github.com/smartystreets/goconvey
Programming language	Python	Go
Category	Unit Testing, unittest Extensions	Regression Testing, Unit 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'	BDD style testing framework for Go Goconvey is a two pronged testing tool consisting of a test runner that watches your code for changes, runs 'go test' and renders your results in a web browser and the second a library that allows you to write BDD-style tests with standard 'go test' functions
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 Yes, Goconvey can perform front-end tests
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 Yes one can perform end-to-end HTTP tests with goconvey to see how an application works against remote servers
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	Yes Yes, Goconvey uses scopes to define fixtures and a reset function for 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	Yes One can define group fixtures using scopes
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.	Yes The web UI has a button to open the built in generator
Licence Licence type governing the use and redistribution of the software	MIT License	Goconvey 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)	Yes Trial can access the mock library inbuilt in python for mocking purposes	Yes Using the mock package or mockery library to autogenerate mock code
Grouping Allows organizing tests in groups	Yes Trial allows tests to be grouped into test packages	Yes Similar to a table driven approach an entire suite can be contained in a single function
Other Other useful information about the testing framework