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

	Lettuce https://pypi.org/project/lettuce/	Goblin https://github.com/franela/goblin
Programming language	Python	Go
Category	Unit Testing, Acceptance Testing	Unit Testing, Intergration Testing
General info	Lettuce is a BDD testing tool for Python Lettuce is a testing tool for Python which is inspired by Ruby's Cucumber that supports Gherkin. It can execute plain-text functional descriptions as automated tests for Python projects just like Cucumber does for Ruby	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 However It can generate xml results for behaviour tests xUnit style	No
Client-side Allows testing code execution on the client, such as a web browser	Yes By integrating Lettuce with Selenium’s Python bindings, you have a robust framework for testing Django applications. It can test front-end behaviour	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 Lettuce can test various server and database behaviours and interactions	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	N/A	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.	N/A	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 By using a third party library	N/A
Licence Licence type governing the use and redistribution of the software	Unknown	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)	By adding the lettuce-tools library one has access to the Mock module to implement a configurable http REST mock.	N/A
Grouping Allows organizing tests in groups	Yes It allows grouping of tests	N/A
Other Other useful information about the testing framework