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  1. Stackups
  2. DevOps
  3. Testing Frameworks
  4. Mobile Test Automation
  5. Gauge vs Robot Framework

Gauge vs Robot Framework

OverviewComparisonAlternatives

Overview

Gauge
Gauge
Stacks67
Followers41
Votes2
GitHub Stars3.1K
Forks347
Robot Framework
Robot Framework
Stacks344
Followers525
Votes120

Gauge vs Robot Framework: What are the differences?

Introduction

In this article, we will explore the key differences between Gauge and Robot Framework. Both Gauge and Robot Framework are open-source test automation frameworks that are widely used for software testing. While they share some similarities, there are distinct differences that set them apart.

  1. Test Specification Language: One of the key differences between Gauge and Robot Framework is the test specification language they use. Gauge utilizes a markdown-based language for writing test specifications, making it easy to read and understand test cases. On the other hand, Robot Framework uses a tabular format for test case definition and relies on keywords for test steps, which can be a bit more complex to read and write.

  2. Programming Language Support: Gauge and Robot Framework have different programming language support. Robot Framework is built on top of Python and supports writing test cases and test libraries in Python. Additionally, Robot Framework also supports other languages such as Java and .NET. On the other hand, Gauge supports multiple programming languages out of the box, including Java, C#, Ruby, Python, and more. This allows teams to use their preferred programming language for test automation.

  3. Data-Driven Testing: Gauge and Robot Framework have different approaches to data-driven testing. Robot Framework offers built-in support for data-driven testing, allowing users to define test cases that are executed with different sets of test data. Gauge, on the other hand, does not have built-in support for data-driven testing. However, Gauge can be easily integrated with external data sources or frameworks to enable data-driven testing.

  4. IDE Support: Another significant difference between Gauge and Robot Framework is their support for Integrated Development Environments (IDEs). Gauge provides a comprehensive and dedicated IDE called Gauge IDE, which offers features like syntax highlighting, code suggestions, and test execution. Robot Framework, on the other hand, does not have a dedicated IDE but can be integrated with popular IDEs like PyCharm and Eclipse using plugins.

  5. Parallel Execution: Parallel execution of test cases is another difference between Gauge and Robot Framework. Robot Framework has built-in support for parallel test execution, allowing users to execute test cases concurrently, which can significantly reduce the overall execution time. Gauge, on the other hand, does not provide built-in support for parallel execution. However, Gauge can be easily integrated with other tools or frameworks to achieve parallel execution.

  6. Community and Ecosystem: Both Gauge and Robot Framework have active communities and offer a rich ecosystem of plugins, libraries, and integrations. However, given its longer history and wider adoption, Robot Framework has a larger community and a more extensive ecosystem compared to Gauge. This means that there is a larger pool of resources, libraries, and community support available for Robot Framework users.

In summary, Gauge and Robot Framework differ in their test specification language, programming language support, data-driven testing capabilities, IDE support, parallel execution support, and community size and ecosystem. Understanding these differences can help teams choose the most suitable framework based on their specific requirements and preferences.

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Detailed Comparison

Gauge
Gauge
Robot Framework
Robot Framework

Gauge is created by ThoughtWorks. Gauge let you write tests in plain-speak and refactor fearlessly. Gauge’s pluggable architecture allows you to customize your environment so you can write tests in the language and IDE of your choice.

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.

Simple Syntax: Write test specifications in Markdown and generate readable documentation in the format of your choice.;Get Started Fast: Gauge is lightweight and easy to get started. Install and initialize with a single command.;Your Environment Your Tools: Automate in your favourite programming language and work in the IDE of your choice, across platforms. Gauge supports C#, Java, Ruby, IntelliJ and Visual Studio out-of-the-box.;Data Driven Execution: Easily test with large data sets, while keeping specifications highly readable. Gauge reads test data from text, CSV, and more.
-
Statistics
GitHub Stars
3.1K
GitHub Stars
-
GitHub Forks
347
GitHub Forks
-
Stacks
67
Stacks
344
Followers
41
Followers
525
Votes
2
Votes
120
Pros & Cons
Pros
  • 1
    Open Source
  • 1
    Easily extendable
Pros
  • 23
    Easy with CI/CD
  • 22
    Open Source
  • 21
    Simple Usage
  • 14
    Easily extendable
  • 13
    Vast Scope more than Front End
Cons
  • 8
    Nested Loops
  • 1
    Mostly for python
  • 1
    Devtooling is not there
  • 0
    Extensive library support
  • 0
    Mobile supports
Integrations
IntelliJ IDEA
IntelliJ IDEA
Apache Maven
Apache Maven
Visual Studio
Visual Studio
Gradle
Gradle
Eclipse
Eclipse
No integrations available

What are some alternatives to Gauge, Robot Framework?

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.

BitBar

BitBar

Testdroid provides a set of products for Android and iOS app/game testing on real devices. With different testing solutions, you can efficiently develop and test your mobile apps/games in agile way and achieve your business goals.

Cucumber

Cucumber

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

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

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