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Robot Framework vs Goblin comparison of testing frameworks
What are the differences between Robot Framework and Goblin?

Robot Framework

https://robotframework.org/

Goblin

https://github.com/franela/goblin
Programming language

Python

Go

Category

Acceptance Testing

Unit Testing, Intergration Testing

General info

Robot is a Python framework used for acceptance/functional testing

Robot is an automated test framework which has a simple plain text syntax and can be extended easily with Python or Java libraries. It can run on the .net-based IronPython and on Jython which is Java based.

Goblin is a simple Mocha like BDD testing framework for Go

Goblin was inspired by the simplicity and flexibility of NodeBDD and offers many features like the ability to define as many Describe and It blocks as you want, colorful reports and beautiful syntax, running tests with the go test command as usual 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

Robot has a rich library and can also be easily integrated with Selenium for browser automation to test front-end components

Yes

Yes, since it is a BDD driven framework, various front-end functionalities can be tested
Server-side
Allows testing the bahovior of a server-side code

Yes

Robot can be used for back-end tests as well

Yes

Yes back-end behaviour can be tested that is interactions with servers/databases
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

There is no inbuilt way to work with fixtures in Robot however it can integrate with unittest and use fixtures that way

N/A

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.

By integrating with unittest

N/A

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

Robot has a library called the Robot Framework Faker library. It contains 147 keywords used for generating random test data

N/A

Licence
Licence type governing the use and redistribution of the software

Apache License 2.0

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

Robot can access Python's mock library for mocking

N/A

Grouping
Allows organizing tests in groups

Yes

One can create a test suite with Robot

N/A

Other
Other useful information about the testing framework