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  1. Stackups
  2. DevOps
  3. Testing Frameworks
  4. Testing Frameworks
  5. Cucumber vs Lettuce

Cucumber vs Lettuce

OverviewComparisonAlternatives

Overview

Cucumber
Cucumber
Stacks1.4K
Followers927
Votes36
Lettuce
Lettuce
Stacks6
Followers11
Votes0
GitHub Stars1.3K
Forks323

Cucumber vs Lettuce: What are the differences?

Introduction

Cucumber and Lettuce are both testing frameworks that facilitate Behavior Driven Development (BDD) by allowing the creation of acceptance tests in a human-readable format. However, there are several key differences between them that make each framework unique.

  1. Gherkin Syntax: Cucumber uses the Gherkin syntax, which is a business-readable domain-specific language. It allows the description of test scenarios using Given-When-Then keywords. Lettuce, on the other hand, also uses Gherkin but has more flexibility in defining its own custom steps in addition to the Given-When-Then structure.

  2. Language Implementation: Cucumber originally started as a Ruby-based framework and has since been implemented in other languages as well, including Java, JavaScript, and .NET. Lettuce, on the other hand, is primarily developed using Python and supports only Python-based test scripts.

  3. Integration with Python Ecosystem: Lettuce is tightly integrated with the Python ecosystem, enabling seamless usage with other Python libraries and tools. This integration allows developers to leverage the extensive capabilities of the Python ecosystem for testing and test automation. Cucumber, on the other hand, has support for the languages it is implemented in, but may not have the same level of integration with specific language ecosystems.

  4. Parallel Execution: Cucumber doesn't inherently support parallel execution of test scenarios. Although possible, it requires additional setup and tools to achieve parallel execution. In contrast, Lettuce provides built-in support for parallel testing, allowing multiple scenarios to be executed concurrently, which can significantly reduce overall test execution time.

  5. Customization and Extensibility: Lettuce offers more customization and extensibility options compared to Cucumber. It allows the creation of custom testing layers, such as custom context objects or additional step definitions, providing more flexibility to tailor the framework to specific project requirements. Cucumber, while extensible, may have more limitations in terms of customization compared to Lettuce.

  6. Community and Support: Cucumber has been around for a longer time and has a larger community and more extensive documentation and resources available. Lettuce, although popular within the Python community, may have a relatively smaller community and fewer resources in comparison.

In summary, the key differences between Cucumber and Lettuce are the syntax structure, language implementation, integration with language ecosystem, support for parallel execution, customization and extensibility options, and the size of their respective communities.

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Detailed Comparison

Cucumber
Cucumber
Lettuce
Lettuce

Cucumber is a tool that supports Behaviour-Driven Development (BDD) - a software development process that aims to enhance software quality and reduce maintenance costs.

It is a very simple BDD tool based on the Cucumber, which currently has many more features than Lettuce. It aims the most common tasks on BDD and it focus specially on those that make BDD so fun.

-
Used as a command-line utility; Features, scenarios, and steps are python objects within lettuce’s feature engine; Language support; It features a number of built-in steps for Django to simplify the creation of fixtures
Statistics
GitHub Stars
-
GitHub Stars
1.3K
GitHub Forks
-
GitHub Forks
323
Stacks
1.4K
Stacks
6
Followers
927
Followers
11
Votes
36
Votes
0
Pros & Cons
Pros
  • 20
    Simple Syntax
  • 8
    Simple usage
  • 5
    Huge community
  • 3
    Nice report
No community feedback yet
Integrations
No integrations available
Python
Python
Django
Django

What are some alternatives to Cucumber, Lettuce?

Robot Framework

Robot Framework

It is a generic test automation framework for acceptance testing and acceptance test-driven development. It has easy-to-use tabular test data syntax and it utilizes the keyword-driven testing approach. Its testing capabilities can be extended by test libraries implemented either with Python or Java, and users can create new higher-level keywords from existing ones using the same syntax that is used for creating test cases.

Karate DSL

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

TestCafe

TestCafe

It is a pure node.js end-to-end solution for testing web apps. It takes care of all the stages: starting browsers, running tests, gathering test results and generating reports.

Spock Framework

Spock Framework

It is a testing and specification framework for Java and Groovy applications. What makes it stand out from the crowd is its beautiful and highly expressive specification language. It is compatible with most IDEs, build tools, and continuous integration servers.

Selenide

Selenide

It is a library for writing concise, readable, boilerplate-free tests in Java using Selenium WebDriver.

Capybara

Capybara

Capybara helps you test web applications by simulating how a real user would interact with your app. It is agnostic about the driver running your tests and comes with Rack::Test and Selenium support built in. WebKit is supported through an external gem.

PHPUnit

PHPUnit

PHPUnit is a programmer-oriented testing framework for PHP. It is an instance of the xUnit architecture for unit testing frameworks.

Detox

Detox

High velocity native mobile development requires us to adopt continuous integration workflows, which means our reliance on manual QA has to drop significantly. It tests your mobile app while it's running in a real device/simulator, interacting with it just like a real user.

Imagium

Imagium

Imagium provides AI based visual testing solution for various forms of testing. It makes the job easier for QA Automation, Mobile Testers, DevOps and Compliance teams. Imagium is easy to integrate with any programing language

Codeception

Codeception

Full-stack testing framework for PHP. Run browsers tests, framework tests, APIs tests, unit tests with ease.

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