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  1. Stackups
  2. DevOps
  3. Testing Frameworks
  4. Testing Frameworks
  5. FitNesse vs Karate DSL

FitNesse vs Karate DSL

OverviewComparisonAlternatives

Overview

FitNesse
FitNesse
Stacks32
Followers62
Votes0
GitHub Stars2.1K
Forks712
Karate DSL
Karate DSL
Stacks148
Followers268
Votes85

FitNesse vs Karate DSL: What are the differences?

  1. Syntax: Karate DSL uses a DSL (Domain Specific Language) while FitNesse uses wiki-based syntax for writing test cases and documentation.
  2. Built-in HTTP Client: Karate DSL provides a built-in HTTP client for making API calls, while FitNesse requires additional plugins or setups to achieve similar functionality.
  3. Test Parallelization: Karate DSL supports test parallelization out of the box, making it easier to run tests concurrently, whereas FitNesse may require custom configurations to enable parallel execution.
  4. Data-Driven Testing: Karate DSL has robust support for data-driven testing with the ability to read data from external files, databases, or even perform dynamic data generation, something that FitNesse lacks out of the box.
  5. JavaScript Evaluation: Karate DSL allows executing JavaScript code within test scripts, providing more flexibility in test automation logic, whereas FitNesse may have limitations in executing scripts written in other programming languages.
  6. API Mocking: Karate DSL includes functionality for setting up API mocks and stubs within test scripts, making it easier to simulate different scenarios, while FitNesse may require external tools or plugins for similar mocking capabilities.

In Summary, FitNesse and Karate DSL differ in syntax, built-in HTTP client, test parallelization, data-driven testing support, JavaScript evaluation, and API mocking capabilities.

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Detailed Comparison

FitNesse
FitNesse
Karate DSL
Karate DSL

It is an open source project. The code base is not owned by any company. A lot of information is shared by the FitNesse community. It's extremely adaptable and is used in areas ranging from Web/GUI tests to testing electronic components.

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.

FitNesse is an easy to use wiki web server;Easy to set up: just download the application (a Java jar file) and start it;Specifications/requirements can be used as test input;The major languages are supported
Native support for both JSON and XML; Powerful payload assertions with "deep-equals"; Data-driven testing; Easy even for non-programmers; Embedded JavaScript engine; Test-doubles or HTTP mocking built-in; Re-use test scripts as performance-tests; Environment switching; Comprehensive reports, supported by all CI tools
Statistics
GitHub Stars
2.1K
GitHub Stars
-
GitHub Forks
712
GitHub Forks
-
Stacks
32
Stacks
148
Followers
62
Followers
268
Votes
0
Votes
85
Pros & Cons
No community feedback yet
Pros
  • 11
    Easy CI integration via cross-platform executable / CLI
  • 9
    Easy for even non-programmers to get started
  • 9
    Simple and meaningful asserts for large responses
  • 7
    Data-driven tests that can even use JSON or CSV sources
  • 5
    Comprehensive documentation and examples
Cons
  • 1
    Complex folder structure, without a defined pattern
  • 1
    Karate uses its own scripting language
  • 1
    There is no IntelliSense support in IDE
  • 1
    Finding errors in code is not easy
  • 1
    Ode support becomes very time consuming and expensive b
Integrations
Java
Java
JavaScript
JavaScript
Visual Studio Code
Visual Studio Code
Java
Java
Cucumber
Cucumber
IntelliJ IDEA
IntelliJ IDEA
JUnit
JUnit
Eclipse
Eclipse

What are some alternatives to FitNesse, Karate DSL?

Postman

Postman

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

Paw

Paw

Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code.

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.

Appwrite

Appwrite

Appwrite's open-source platform lets you add Auth, DBs, Functions and Storage to your product and build any application at any scale, own your data, and use your preferred coding languages and tools.

Runscope

Runscope

Keep tabs on all aspects of your API's performance with uptime monitoring, integration testing, logging and real-time monitoring.

Insomnia REST Client

Insomnia REST Client

Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux.

RAML

RAML

RESTful API Modeling Language (RAML) makes it easy to manage the whole API lifecycle from design to sharing. It's concise - you only write what you need to define - and reusable. It is machine readable API design that is actually human friendly.

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.

Apigee

Apigee

API management, design, analytics, and security are at the heart of modern digital architecture. The Apigee intelligent API platform is a complete solution for moving business to the digital world.

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.

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