Alternatives to Apache Axis logo

Alternatives to Apache Axis

ExpressJS, Flask, Django REST framework, Sinatra, and FastAPI are the most popular alternatives and competitors to Apache Axis.
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What is Apache Axis and what are its top alternatives?

Apache Axis is a widely used open-source, XML-based web service framework that helps developers create, deploy, and consume web services. Some key features of Apache Axis include support for various web service standards like SOAP, WSDL, and UDDI, as well as compatibility with different programming languages. However, Apache Axis has limitations in terms of performance and scalability, especially when dealing with large volumes of data or high traffic.

  1. Apache CXF: Apache CXF is an open-source web service framework that supports various protocols and data formats, making it versatile for different use cases. It offers features like support for JAX-RS and JAX-WS, data binding options, and advanced security mechanisms. Compared to Apache Axis, CXF has better performance and scalability, but it may have a steeper learning curve.
  2. Spring Web Services: Spring Web Services is a part of the Spring Framework that provides support for creating web services. It offers integration with other Spring features like dependency injection and aspect-oriented programming. While it might not have as many features as Apache Axis, Spring Web Services is known for its simplicity and ease of use.
  3. Jersey: Jersey is a powerful open-source framework for building RESTful web services in Java. It provides support for JAX-RS, JSON, and XML data formats, as well as client and server APIs. Compared to Apache Axis, Jersey is more focused on REST services and might be a better choice for projects that prioritize RESTful APIs.
  4. Restlet: Restlet is an open-source framework for building RESTful web services in Java. It offers a comprehensive set of features for creating, consuming, and deploying REST APIs, with support for various data formats and client/server capabilities. In comparison to Apache Axis, Restlet is lightweight and easier to set up.
  5. gRPC: gRPC is a high-performance, open-source framework developed by Google for building efficient and scalable remote procedure call (RPC) services. It is based on HTTP/2 and Protocol Buffers, offering features like bidirectional streaming and support for multiple languages. While gRPC is not a direct replacement for Apache Axis, it provides a modern alternative for building distributed systems.
  6. Dropwizard: Dropwizard is a lightweight Java framework for building RESTful web services with integrated components like Jetty, Jersey, and Jackson. It focuses on simplicity, ease of development, and performance, making it a popular choice for microservices-based applications. Compared to Apache Axis, Dropwizard is more opinionated and streamlined for specific use cases.
  7. Play Framework: Play Framework is a modern web development framework for building reactive, scalable web applications and RESTful APIs with Java or Scala. It emphasizes developer productivity, speed, and real-time capabilities, making it suitable for projects that require high performance and interactive features. While not a direct replacement for Apache Axis, Play Framework excels in building web applications with modern architectures.
  8. Quarkus: Quarkus is a Kubernetes-native Java framework that focuses on fast startup time, low memory footprint, and seamless integration with popular Java standards like JAX-RS, Hibernate, and MicroProfile. It is optimized for containerized cloud-native applications and reactive systems, offering features for building efficient microservices and serverless functions. Compared to Apache Axis, Quarkus is designed for modern cloud environments and fast deployment.
  9. Spark Framework: Spark Framework is a lightweight web application framework for building RESTful web services in Java and Kotlin. It offers a simple and expressive API, support for multiple templates and data formats, and seamless integration with other libraries. Unlike Apache Axis, Spark Framework is designed for rapid development and minimal configuration, making it a popular choice for small to medium-sized projects.
  10. Micronaut: Micronaut is a modern JVM-based framework for building microservices and serverless applications in Java, Kotlin, and Groovy. It features ahead-of-time (AOT) compilation, dependency injection, and cloud-native capabilities for developing efficient and scalable services. In comparison to Apache Axis, Micronaut offers better performance, reduced memory usage, and faster startup times, making it suitable for cloud-native and containerized environments.

Top Alternatives to Apache Axis

  • ExpressJS
    ExpressJS

    Express is a minimal and flexible node.js web application framework, providing a robust set of features for building single and multi-page, and hybrid web applications. ...

  • Flask
    Flask

    Flask is intended for getting started very quickly and was developed with best intentions in mind. ...

  • Django REST framework
    Django REST framework

    It is a powerful and flexible toolkit that makes it easy to build Web APIs.

  • Sinatra
    Sinatra

    Sinatra is a DSL for quickly creating web applications in Ruby with minimal effort. ...

  • FastAPI
    FastAPI

    It is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. ...

  • Koa
    Koa

    Koa aims to be a smaller, more expressive, and more robust foundation for web applications and APIs. Through leveraging generators Koa allows you to ditch callbacks and greatly increase error-handling. Koa does not bundle any middleware. ...

  • TypeORM
    TypeORM

    It supports both Active Record and Data Mapper patterns, unlike all other JavaScript ORMs currently in existence, which means you can write high quality, loosely coupled, scalable, maintainable applications the most productive way. ...

  • Guzzle
    Guzzle

    Guzzle is a PHP HTTP client that makes it easy to send HTTP requests and trivial to integrate with web services. ...

Apache Axis alternatives & related posts

ExpressJS logo

ExpressJS

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Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 27 upvotes · 4.7M 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

Repost

Overview: To put it simply, we plan to use the MERN stack to build our web application. MongoDB will be used as our primary database. We will use ExpressJS alongside Node.js to set up our API endpoints. Additionally, we plan to use React to build our SPA on the client side and use Redis on the server side as our primary caching solution. Initially, while working on the project, we plan to deploy our server and client both on Heroku . However, Heroku is very limited and we will need the benefits of an Infrastructure as a Service so we will use Amazon EC2 to later deploy our final version of the application.

Serverside: nodemon will allow us to automatically restart a running instance of our node app when files changes take place. We decided to use MongoDB because it is a non relational database which uses the Document Object Model. This allows a lot of flexibility as compared to a RDMS like SQL which requires a very structural model of data that does not change too much. Another strength of MongoDB is its ease in scalability. We will use Mongoose along side MongoDB to model our application data. Additionally, we will host our MongoDB cluster remotely on MongoDB Atlas. Bcrypt will be used to encrypt user passwords that will be stored in the DB. This is to avoid the risks of storing plain text passwords. Moreover, we will use Cloudinary to store images uploaded by the user. We will also use the Twilio SendGrid API to enable automated emails sent by our application. To protect private API endpoints, we will use JSON Web Token and Passport. Also, PayPal will be used as a payment gateway to accept payments from users.

Client Side: As mentioned earlier, we will use React to build our SPA. React uses a virtual DOM which is very efficient in rendering a page. Also React will allow us to reuse components. Furthermore, it is very popular and there is a large community that uses React so it can be helpful if we run into issues. We also plan to make a cross platform mobile application later and using React will allow us to reuse a lot of our code with React Native. Redux will be used to manage state. Redux works great with React and will help us manage a global state in the app and avoid the complications of each component having its own state. Additionally, we will use Bootstrap components and custom CSS to style our app.

Other: Git will be used for version control. During the later stages of our project, we will use Google Analytics to collect useful data regarding user interactions. Moreover, Slack will be our primary communication tool. Also, we will use Visual Studio Code as our primary code editor because it is very light weight and has a wide variety of extensions that will boost productivity. Postman will be used to interact with and debug our API endpoints.

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Flask logo

Flask

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James Man
Software Engineer at Pinterest · | 45 upvotes · 2.8M views
Shared insights
on
FlaskFlaskReactReact
at

One of our top priorities at Pinterest is fostering a safe and trustworthy experience for all Pinners. As Pinterest’s user base and ads business grow, the review volume has been increasing exponentially, and more content types require moderation support. To solve greater engineering and operational challenges at scale, we needed a highly-reliable and performant system to detect, report, evaluate, and act on abusive content and users and so we created Pinqueue.

Pinqueue-3.0 serves as a generic platform for content moderation and human labeling. Under the hood, Pinqueue3.0 is a Flask + React app powered by Pinterest’s very own Gestalt UI framework. On the backend, Pinqueue3.0 heavily relies on PinLater, a Pinterest-built reliable asynchronous job execution system, to handle the requests for enqueueing and action-taking. Using PinLater has significantly strengthened Pinqueue3.0’s overall infra with its capability of processing a massive load of events with configurable retry policies.

Hundreds of millions of people around the world use Pinterest to discover and do what they love, and our job is to protect them from abusive and harmful content. We’re committed to providing an inspirational yet safe experience to all Pinners. Solving trust & safety problems is a joint effort requiring expertise across multiple domains. Pinqueue3.0 not only plays a critical role in responsively taking down unsafe content, it also has become an enabler for future ML/automation initiatives by providing high-quality human labels. Going forward, we will continue to improve the review experience, measure review quality and collaborate with our machine learning teams to solve content moderation beyond manual reviews at an even larger scale.

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Hey, so I developed a basic application with Python. But to use it, you need a python interpreter. I want to add a GUI to make it more appealing. What should I choose to develop a GUI? I have very basic skills in front end development (CSS, JavaScript). I am fluent in python. I'm looking for a tool that is easy to use and doesn't require too much code knowledge. I have recently tried out Flask, but it is kinda complicated. Should I stick with it, move to Django, or is there another nice framework to use?

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Arjiv Jivithkumar
Junior Product Manager at Vozz · | 13 upvotes · 72.7K views

Hey everyone! I'm planning on building a personal project - this will be my first full-stack project and will be a web app.

The way it will work is that users will be able to post groups. This can be, groups for studying or groups for work, etc. They can also set the desired group size (e.g. limit the group to 3 members). Other users can then join said group - once the group is full, it will automatically close.

What tech stack would you all recommend for this? I have a lot of experience with Django so maybe that will be good for the backend but I'm not sure where to go from there. I've heard using the Django REST framework with a React frontend might be good. Always open to learning new technologies and thanks in advance!

See more

I am planning on creating an application using the following tech-stack. Vue.js (TypeScript) for the front-end, Django (specifically Django REST framework) for the server-side work, and using PostgreSQL as the database. Is there any reason NOT to use this tech stack mentioned or are there better options? Without giving away too much info, my app will be logging information from the user, displaying this information, setting goals, displaying visual graphs, a friend system where you can add other people etc...

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        Antonio Kobashikawa
        Web developer | Blogger | Freelancer at Rulo Kobashikawa · | 6 upvotes · 239.2K views

        We are using Node.js and ExpressJS to build a REST services that is middleware of a legacy system. MongoDB as database. Vue.js helps us to make rapid UI to test use cases. Frontend is build for mobile with Ionic . We like using JavaScript and ES6 .

        I think next step could be to use Koa but I am not sure.

        See more
        Paul Whittemore
        Developer and Owner at Appurist Software · | 1 upvote · 211.7K views
        Shared insights
        on
        FastifyFastifyKoaKoaExpressJSExpressJS

        Will base most server-side APIs on Fastify . Smaller, faster, easier. Faster than Koa; and twice as fast as ExpressJS.

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        TypeORM logo

        TypeORM

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        Simon Reymann
        Senior Fullstack Developer at QUANTUSflow Software GmbH · | 27 upvotes · 4.7M 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
        Martin Johannesson
        Senior Software Developer at IT Minds · | 14 upvotes · 2.8M views

        At IT Minds we create customized internal or #B2B web and mobile apps. I have a go to stack that I pitch to our customers consisting of 3 core areas. 1) A data core #backend . 2) A micro #serverless #backend. 3) A user client #frontend.

        For the Data Core I create a backend using TypeScript Node.js and with TypeORM connecting to a PostgreSQL Exposing an action based api with Apollo GraphQL

        For the micro serverless backend, which purpose is verification for authentication, autorization, logins and the likes. It is created with Next.js api pages. Using MongoDB to store essential information, caching etc.

        Finally the frontend is built with React using Next.js , TypeScript and @Apollo. We create the frontend as a PWA and have a AMP landing page by default.

        See more
        Guzzle logo

        Guzzle

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