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

	Lettuce https://pypi.org/project/lettuce/	Goconvey https://github.com/smartystreets/goconvey
Programming language	Python	Go
Category	Unit Testing, Acceptance Testing	Regression Testing, Unit 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	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 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, Goconvey can perform front-end tests
Server-side Allows testing the bahovior of a server-side code	Yes Lettuce can test various server and database behaviours and interactions	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	N/A	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.	N/A	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.	Yes By using a third party library	Yes The web UI has a button to open the built in generator
Licence Licence type governing the use and redistribution of the software	Unknown	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)	By adding the lettuce-tools library one has access to the Mock module to implement a configurable http REST mock.	Yes Using the mock package or mockery library to autogenerate mock code
Grouping Allows organizing tests in groups	Yes It allows grouping of tests	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