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

Goconvey

https://github.com/smartystreets/goconvey

Gocheck

https://github.com/go-check/check
Programming language

Go

Go

Category

Regression Testing, Unit Testing

Unit Testing

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

Rich testing framework for Go

Gocheck is a richer testing framework for Golang libraries and applications that includes checkers and assertions among many other features, it also works as an extension to the testing package and 'go test'
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

Yes, supports end-to-end testing so various front-end components can be tested
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

Yes end-to-end testing means that various back-end components and behaviour can be tested
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

Fixtures are available with Gocheck either per suite and/or per 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

Group fixtures are available as a suite
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

N/A

Licence
Licence type governing the use and redistribution of the software

Goconvey License

Simplified BSD 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

Through third party libraries like gomock
Grouping
Allows organizing tests in groups

Yes

Similar to a table driven approach an entire suite can be contained in a single function

Yes

When testing, developers can create suites of tests
Other
Other useful information about the testing framework