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

	Lettuce https://pypi.org/project/lettuce/	Guage https://gauge.org/
Programming language	Python	.NET
Category	Unit Testing, Acceptance Testing	Acceptance 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	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.
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 You can test front-end behaviour by creating testing specifications to test front-end behaviour
Server-side Allows testing the bahovior of a server-side code	Yes Lettuce can test various server and database behaviours and interactions	Yes You can test back-end behaviour by creating testing specifications to test back-end behaviour
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.	Yes By using a third party library	N/A
Licence Licence type governing the use and redistribution of the software	Unknown	GNU General Public License v3.0
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 You can create mocks using third party libraries like moq
Grouping Allows organizing tests in groups	Yes It allows grouping of tests	Yes You can create test suites with Gauge which can be run using multiple parameters.
Other Other useful information about the testing framework