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

Tape

https://github.com/substack/tape

Lettuce

https://pypi.org/project/lettuce/
Programming language

JavaScript

Python

Category

Unit Testing, Intergration Testing

Unit Testing, Acceptance Testing

General info

tap-producing test harness for node and browsers.

Tape API is a small superset of the node core assert module

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
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

Yes

It does support xUnit output

No

However It can generate xml results for behaviour tests xUnit style
Client-side
Allows testing code execution on the client, such as a web browser

Yes

You can write tests for any part of your front-end code to test any component or functionality

Yes

By integrating Lettuce with Selenium’s Python bindings, you have a robust framework for testing Django applications. It can test front-end behaviour
Server-side
Allows testing the bahovior of a server-side code

Yes

With tape you can test any back-end component, behaviour and functionality after all it supports TAP (Test Anything Protocol)

Yes

Lettuce can test various server and database behaviours and interactions
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

No

Tape contains only the essential features for making assertions on your code but there is a package called redtape that extends tape to give you beforeEach and afterEach functionality

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.

No

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.

No

Yes

By using a third party library
Licence
Licence type governing the use and redistribution of the software

MIT License

Unknown

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)

No

Tape is a minimalistic framework that provides only essential features to make your assertions about your code

By adding the lettuce-tools library one has access to the Mock module to implement a configurable http REST mock.
Grouping
Allows organizing tests in groups

No

Tape contains only the essential features for making assertions on your code

Yes

It allows grouping of tests
Other
Other useful information about the testing framework