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

SpecFlow

https://specflow.org/

Lettuce

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

.NET

Python

Category

Acceptance Testing

Unit Testing, Acceptance Testing

General info

SpecFlow is a test automation solution for .NET

SpecFlow is a test automation solution for .NET which follows the BDD paradigm, and is part of the Cucumber family. SpecFlow tests are written with Gherkin, using the official Gherkin parser which allows you to write test cases using natural languages and supports over 70 languages.

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

Front-end behaviour is tested. With specflow specifications of the expected behaviours are made and specflow tests against this

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

Back-end behaviour is tested. Specifications of the expected behaviours are made and specflow tests against them

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

Yes

BeforeTestRun and AfterTestRun are executed once for each thread which is a limitation of the current architecture.

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

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

SpecFlow contains a generator component. The SpecFlow IDE integration tries to locate the generator component in your project structure, in order to use the generator version matching the SpecFlow runtime in your project

Yes

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

BSD 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)

Yes

Specflow intergrates well with mock to give it excellent mocking capabilities

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 specflow

Yes

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