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

	Goconvey https://github.com/smartystreets/goconvey	TwistedTrial https://twistedmatrix.com/trac/wiki/TwistedTrial
Programming language	Go	Python
Category	Regression Testing, Unit Testing	Unit Testing, unittest Extensions
General info	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	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'
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 Yes, Goconvey can perform front-end tests	Yes Front-end components can be tested for example adding a web front-end using simple twisted.web.resource.Resource objects
Server-side Allows testing the bahovior of a server-side code	Yes Yes one can perform end-to-end HTTP tests with goconvey to see how an application works against remote servers	Yes Server-side behaviour can be tested with Trial, it has various functions for this in the twisted.web.Resource package
Fixtures Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test	Yes Yes, Goconvey uses scopes to define fixtures and a reset function for teardown	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 One can define group fixtures using scopes	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.	Yes The web UI has a button to open the built in generator	Through use of third party libraries like test-generator.
Licence Licence type governing the use and redistribution of the software	Goconvey License	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)	Yes Using the mock package or mockery library to autogenerate mock code	Yes Trial can access the mock library inbuilt in python for mocking purposes
Grouping Allows organizing tests in groups	Yes Similar to a table driven approach an entire suite can be contained in a single function	Yes Trial allows tests to be grouped into test packages
Other Other useful information about the testing framework