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