Alternatives to Karate DSL logo

Alternatives to Karate DSL

Cucumber, Postman, JUnit, Amazon API Gateway, and pytest are the most popular alternatives and competitors to Karate DSL.
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What is Karate DSL and what are its top alternatives?

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.
Karate DSL is a tool in the Testing Frameworks category of a tech stack.
Karate DSL is an open source tool with GitHub stars and GitHub forks. Here’s a link to Karate DSL's open source repository on GitHub

Top Alternatives to Karate DSL

  • 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. ...

  • Postman
    Postman

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

  • JUnit
    JUnit

    JUnit is a simple framework to write repeatable tests. It is an instance of the xUnit architecture for unit testing frameworks. ...

  • Amazon API Gateway
    Amazon API Gateway

    Amazon API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, authorization and access control, monitoring, and API version management. ...

  • pytest
    pytest

    A framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. It is a mature full-featured Python testing tool. ...

  • RSpec
    RSpec

    Behaviour Driven Development for Ruby. Making TDD Productive and Fun.

  • Mockito
    Mockito

    It is a mocking framework that tastes really good. It lets you write beautiful tests with a clean & simple API. It doesn’t give you hangover because the tests are very readable and they produce clean verification errors. ...

  • xUnit
    xUnit

    It is a free, open source, community-focused unit testing tool for the .NET Framework. It is the latest technology for unit testing C#, F#, VB.NET and other .NET languages. It works with ReSharper, CodeRush, TestDriven.NET and Xamarin. ...

Karate DSL alternatives & related posts

Cucumber logo

Cucumber

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Simple, human collaboration.
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PROS OF CUCUMBER
  • 20
    Simple Syntax
  • 6
    Simple usage
  • 4
    Huge community
  • 3
    Nice report
CONS OF CUCUMBER
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    related Cucumber posts

    Benjamin Poon
    QA Manager - Engineering at HBC Digital · | 8 upvotes · 877K views

    For our digital QA organization to support a complex hybrid monolith/microservice architecture, our team took on the lofty goal of building out a commonized UI test automation framework. One of the primary requisites included a technical minimalist threshold such that an engineer or analyst with fundamental knowledge of JavaScript could automate their tests with greater ease. Just to list a few: - Nightwatchjs - Selenium - Cucumber - GitHub - Go.CD - Docker - ExpressJS - React - PostgreSQL

    With this structure, we're able to combine the automation efforts of each team member into a centralized repository while also providing new relevant metrics to business owners.

    See more
    Sarah Elson
    Product Growth at LambdaTest · | 4 upvotes · 388.4K views

    @producthunt LambdaTest Selenium JavaScript Java Python PHP Cucumber TeamCity CircleCI With this new release of LambdaTest automation, you can run tests across an Online Selenium Grid of 2000+ browsers and OS combinations to perform cross browser testing. This saves you from the pain of maintaining the infrastructure and also saves you the licensing costs for browsers and operating systems. #testing #Seleniumgrid #Selenium #testautomation #automation #webdriver #producthunt hunted

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    Postman logo

    Postman

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    Only complete API development environment
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    PROS OF POSTMAN
    • 487
      Easy to use
    • 369
      Great tool
    • 274
      Makes developing rest api's easy peasy
    • 155
      Easy setup, looks good
    • 143
      The best api workflow out there
    • 53
      It's the best
    • 53
      History feature
    • 44
      Adds real value to my workflow
    • 42
      Great interface that magically predicts your needs
    • 34
      The best in class app
    • 11
      Can save and share script
    • 9
      Fully featured without looking cluttered
    • 7
      Collections
    • 7
      Option to run scrips
    • 7
      Global/Environment Variables
    • 6
      Dead simple and useful. Excellent
    • 6
      Shareable Collections
    • 6
      Dark theme easy on the eyes
    • 5
      Awesome customer support
    • 5
      Great integration with newman
    • 4
      Simple
    • 4
      The test script is useful
    • 4
      Documentation
    • 3
      Easy as pie
    • 3
      Saves responses
    • 3
      Makes testing API's as easy as 1,2,3
    • 3
      This has simplified my testing significantly
    • 2
      API-network
    • 2
      I'd recommend it to everyone who works with apis
    • 2
      Mocking API calls with predefined response
    • 1
      Easy to setup, test and provides test storage
    • 1
      Graph
    • 1
      Postman Runner CI Integration
    • 1
      Now supports GraphQL
    • 1
      Continuous integration using newman
    • 1
      Pre-request Script and Test attributes are invaluable
    • 0
      <a href="http://fixbit.com/">useful tool</a>
    • 0
      Runner
    CONS OF POSTMAN
    • 9
      Stores credentials in HTTP
    • 7
      Poor GraphQL support
    • 7
      Bloated features and UI
    • 7
      Cumbersome to switch authentication tokens
    • 3
      Expensive
    • 2
      Not free after 5 users
    • 2
      Can't prompt for per-request variables
    • 1
      Support websocket
    • 1
      Import curl
    • 1
      Import swagger

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    Noah Zoschke
    Engineering Manager at Segment · | 30 upvotes · 2.3M views

    We just launched the Segment Config API (try it out for yourself here) — a set of public REST APIs that enable you to manage your Segment configuration. A public API is only as good as its #documentation. For the API reference doc we are using Postman.

    Postman is an “API development environment”. You download the desktop app, and build API requests by URL and payload. Over time you can build up a set of requests and organize them into a “Postman Collection”. You can generalize a collection with “collection variables”. This allows you to parameterize things like username, password and workspace_name so a user can fill their own values in before making an API call. This makes it possible to use Postman for one-off API tasks instead of writing code.

    Then you can add Markdown content to the entire collection, a folder of related methods, and/or every API method to explain how the APIs work. You can publish a collection and easily share it with a URL.

    This turns Postman from a personal #API utility to full-blown public interactive API documentation. The result is a great looking web page with all the API calls, docs and sample requests and responses in one place. Check out the results here.

    Postman’s powers don’t end here. You can automate Postman with “test scripts” and have it periodically run a collection scripts as “monitors”. We now have #QA around all the APIs in public docs to make sure they are always correct

    Along the way we tried other techniques for documenting APIs like ReadMe.io or Swagger UI. These required a lot of effort to customize.

    Writing and maintaining a Postman collection takes some work, but the resulting documentation site, interactivity and API testing tools are well worth it.

    See more
    Simon Reymann
    Senior Fullstack Developer at QUANTUSflow Software GmbH · | 26 upvotes · 2.9M views

    Our whole Node.js backend stack consists of the following tools:

    • Lerna as a tool for multi package and multi repository management
    • npm as package manager
    • NestJS as Node.js framework
    • TypeScript as programming language
    • ExpressJS as web server
    • Swagger UI for visualizing and interacting with the API’s resources
    • Postman as a tool for API development
    • TypeORM as object relational mapping layer
    • JSON Web Token for access token management

    The main reason we have chosen Node.js over PHP is related to the following artifacts:

    • Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
    • Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
    • A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
    • Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.
    See more
    JUnit logo

    JUnit

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    A programmer-oriented testing framework for Java
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    PROS OF JUNIT
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      CONS OF JUNIT
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        We are looking for a Testing Tool that can integrate with Java/ React/ Go/ Python/ Node.js. Which amongst the three tools JUnit, NUnit & Selenium would be the best for this use case?

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        Joshua Dean Küpper
        CEO at Scrayos UG (haftungsbeschränkt) · | 1 upvote · 178.2K views

        We use JUnit for our Java Unit and Integration tests in Version 5. Combined with @JMockit2 and @truth (from Google) we perform all kinds of tests on our minecraft, standalone and microservice architecture.

        We prefer JUnit over TestNG because of the bigger community, better support and the generally more agile development. JUnit integrates nicely with most software, while TestNG support is a little more limited.

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        Amazon API Gateway logo

        Amazon API Gateway

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        Create, publish, maintain, monitor, and secure APIs at any scale
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        PROS OF AMAZON API GATEWAY
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          AWS Integration
        • 5
          Websockets
        • 1
          Serverless
        CONS OF AMAZON API GATEWAY
        • 1
          Less expensive
        • 1
          No websocket broadcast

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        A Luthra
        VP Software Engrg at Reliant · | 3 upvotes · 621.3K views
        Shared insights
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        ApigeeApigeeAmazon API GatewayAmazon API Gateway

        Amazon API Gateway vs Apigee. How do they compare as an API Gateway? What is the equivalent functionality, similarities, and differences moving from Apigee API GW to AWS API GW?

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        pytest logo

        pytest

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        A full-featured Python testing tool to help you write better programs
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            RSpec logo

            RSpec

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            Behaviour Driven Development for Ruby
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                I'm working as one of the engineering leads in RunaHR. As our platform is a Saas, we thought It'd be good to have an API (We chose Ruby and Rails for this) and a SPA (built with React and Redux ) connected. We started the SPA with Create React App since It's pretty easy to start.

                We use Jest as the testing framework and react-testing-library to test React components. In Rails we make tests using RSpec.

                Our main database is PostgreSQL, but we also use MongoDB to store some type of data. We started to use Redis  for cache and other time sensitive operations.

                We have a couple of extra projects: One is an Employee app built with React Native and the other is an internal back office dashboard built with Next.js for the client and Python in the backend side.

                Since we have different frontend apps we have found useful to have Bit to document visual components and utils in JavaScript.

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                Simon Bettison
                Managing Director at Bettison.org Limited · | 7 upvotes · 313.3K views

                In 2010 we made the very difficult decision to entirely re-engineer our existing monolithic LAMP application from the ground up in order to address some growing concerns about it's long term viability as a platform.

                Full application re-write is almost always never the answer, because of the risks involved. However the situation warranted drastic action as it was clear that the existing product was going to face severe scaling issues. We felt it better address these sooner rather than later and also take the opportunity to improve the international architecture and also to refactor the database in. order that it better matched the changes in core functionality.

                PostgreSQL was chosen for its reputation as being solid ACID compliant database backend, it was available as an offering AWS RDS service which reduced the management overhead of us having to configure it ourselves. In order to reduce read load on the primary database we implemented an Elasticsearch layer for fast and scalable search operations. Synchronisation of these indexes was to be achieved through the use of Sidekiq's Redis based background workers on Amazon ElastiCache. Again the AWS solution here looked to be an easy way to keep our involvement in managing this part of the platform at a minimum. Allowing us to focus on our core business.

                Rails ls was chosen for its ability to quickly get core functionality up and running, its MVC architecture and also its focus on Test Driven Development using RSpec and Selenium with Travis CI providing continual integration. We also liked Ruby for its terse, clean and elegant syntax. Though YMMV on that one!

                Unicorn was chosen for its continual deployment and reputation as a reliable application server, nginx for its reputation as a fast and stable reverse-proxy. We also took advantage of the Amazon CloudFront CDN here to further improve performance by caching static assets globally.

                We tried to strike a balance between having control over management and configuration of our core application with the convenience of being able to leverage AWS hosted services for ancillary functions (Amazon SES , Amazon SQS Amazon Route 53 all hosted securely inside Amazon VPC of course!).

                Whilst there is some compromise here with potential vendor lock in, the tasks being performed by these ancillary services are no particularly specialised which should mitigate this risk. Furthermore we have already containerised the stack in our development using Docker environment, and looking to how best to bring this into production - potentially using Amazon EC2 Container Service

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                Mockito logo

                Mockito

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                Tasty mocking framework for unit tests in Java
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                    xUnit logo

                    xUnit

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                    An open source, community-focused unit testing tool
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