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

	Guage https://gauge.org/	Lettuce https://pypi.org/project/lettuce/
Programming language	.NET	Python
Category	Acceptance Testing	Unit Testing, Acceptance Testing
General info	Gauge is a light-weight cross-platform test automation tool for writing acceptance tests. Gauge is a free and open source framework for writing and running acceptance tests. Some of its key features include: -Simple, flexible and rich syntax based on Markdown.; -Consistent cross platform/language support for writing test code.; -A modular architecture with plugins support.	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.	No	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 test front-end behaviour by creating testing specifications to test front-end behaviour	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 You can test back-end behaviour by creating testing specifications to test back-end behaviour	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		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
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.	N/A	Yes By using a third party library
Licence Licence type governing the use and redistribution of the software	GNU General Public License v3.0	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)	Yes You can create mocks using third party libraries like moq	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	Yes You can create test suites with Gauge which can be run using multiple parameters.	Yes It allows grouping of tests
Other Other useful information about the testing framework