What is API Platform and what are its top alternatives?
API Platform is a powerful and flexible framework for building modern web APIs and creating Linked Data-driven applications. It is built on top of Symfony and offers a set of tools to build, document, and maintain web APIs. Key features include automatic data validation, serialization, and pagination, as well as out-of-the-box support for popular standards like JSON-LD, OpenAPI, and Hydra. However, some limitations of API Platform include a steep learning curve for beginners and potential performance issues with complex API setups.
Postman: Postman is a popular collaboration platform for API development that simplifies the process of building and testing APIs. Key features include API testing automation, documentation generation, and team collaboration tools. Pros of Postman include an intuitive user interface and extensive integrations with other tools, while cons may include limited functionality for more complex API scenarios.
Swagger: Swagger is an open-source framework that helps developers design, build, and document APIs. It offers a range of tools for API development, including the Swagger Editor for designing APIs and the Swagger UI for visualizing and interacting with APIs. Pros of Swagger include strong community support and comprehensive API documentation capabilities, while cons may include a steeper learning curve for beginners.
GraphQL: GraphQL is a query language for APIs that allows developers to request only the data they need. Key features of GraphQL include a flexible data fetching approach, strong typing system, and introspective capabilities. Pros of GraphQL include efficient data fetching and reduced overfetching of data, while cons may include additional complexity in managing GraphQL schemas.
LoopBack: LoopBack is a highly extensible Node.js framework for building APIs and connecting them to backend systems. It offers a visual API composer and robust features for data modeling, authentication, and security. Pros of LoopBack include built-in support for multiple data sources and easy integration with third-party services, while cons may include a lack of comprehensive documentation for certain features.
Odata: OData is an open standard protocol for building and consuming RESTful APIs. It provides a set of best practices for creating interoperable APIs that can be consumed by a wide range of clients. Key features of OData include query options, metadata discovery, and protocol support. Pros of OData include a strong focus on standardization and compatibility, while cons may include limitations in terms of performance and scalability for certain use cases.
Kong: Kong is an API gateway and cloud connectivity platform that helps manage, secure, and scale APIs. It offers features such as request routing, authentication, rate limiting, and analytics. Pros of Kong include robust security capabilities and easy integration with other services, while cons may include potential complexity in configuring and managing API gateway policies.
AWS API Gateway: AWS API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. Key features of AWS API Gateway include built-in support for serverless API development with AWS Lambda, API versioning, and traffic management capabilities. Pros of AWS API Gateway include seamless integration with other AWS services and robust security features, while cons may include potential costs associated with high usage volumes.
Express Gateway: Express Gateway is an open-source API gateway built on top of Express.js that offers customizable and scalable solutions for managing APIs. It provides features such as authentication, rate limiting, and request/response transformation. Pros of Express Gateway include an easy-to-use configuration system and lightweight footprint, while cons may include limited community support and plugin availability compared to other API gateway solutions.
Tyk: Tyk is an open-source API gateway that offers features for API management, access control, analytics, and developer portal creation. It supports REST, GraphQL, and gRPC APIs and provides scalability and performance enhancements for high-traffic APIs. Pros of Tyk include a rich set of features and strong support for microservices architectures, while cons may include a potentially higher learning curve for new users.
Wso2 API Manager: WSO2 API Manager is an open-source platform that provides full API lifecycle management capabilities, including API creation, publishing, security, and analytics. It offers features such as API monetization, traffic management, and API versioning. Pros of WSO2 API Manager include comprehensive functionality for managing APIs and robust security features, while cons may include a potentially complex setup process for certain configurations.
Top Alternatives to API Platform
- Laravel
It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching. ...
- Symfony
It is written with speed and flexibility in mind. It allows developers to build better and easy to maintain websites with PHP.. ...
- Lumen
Laravel Lumen is a stunningly fast PHP micro-framework for building web applications with expressive, elegant syntax. We believe development must be an enjoyable, creative experience to be truly fulfilling. Lumen attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as routing, database abstraction, queueing, and caching. ...
- Slim
Slim is easy to use for both beginners and professionals. Slim favors cleanliness over terseness and common cases over edge cases. Its interface is simple, intuitive, and extensively documented — both online and in the code itself. ...
- JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...
- Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best. ...
- Node.js
Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices. ...
- HTML5
HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997. ...
API Platform alternatives & related posts
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related Laravel posts
I need to build a web application plus android and IOS apps for an enterprise, like an e-commerce portal. It will have intensive use of MySQL to display thousands (40-50k) of live product information in an interactive table (searchable, filterable), live delivery tracking. It has to be secure, as it will handle information on customers, sales, inventory. Here is the technology stack: Backend: Laravel 7 Frondend: Vue.js, React or AngularJS?
Need help deciding technology stack. Thanks.
Coming from a non-web development environment background, I was a bit lost a first and bewildered by all the varying tools and platforms, and spent much too long evaluating before eventualy deciding on Laravel as the main core of my development.
But as I started development with Laravel that lead me into discovering Vue.js for creating beautiful front-end components that were easy to configure and extend, so I decided to standardise on Vue.js for most of my front-end development.
During my search for additional Vue.js components, a chance comment in a @laravel forum , led me to discover Quasar Framework initially for it's wide range of in-built components ... but once, I realised that Quasar Framework allowed me to use the same codebase to create apps for SPA, PWA, iOS, Android, and Electron then I was hooked.
So, I'm now using mainly just Quasar Framework for all the front-end, with Laravel providing a backend API service to the Front-end apps.
I'm deploying this all to DigitalOcean droplets via service called Moss.sh which deploys my private GitHub repositories directly to DigitalOcean in realtime.
- Open source177
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related Symfony posts
I really love Django because it is really fast to create a web application from scratch and it has a lot a facilities like the ORM or the Admin module ! The Python language is really easy to read and powerful, that's why I prefer Django over Symfony.
I use Django at work to make tools for the technicians but I also use it for me to build my personal website which I host on PythonAnywhere, and with a domain name bought on Namecheap.
We needed our e-commerce platform (built using WooCommerce) to be able to keep products in sync with our #pim (provided by #akeneo) which is built in Symfony . We hooked into the kernel.event_listener to send RabbitMQ messages to a WordPress API endpoint that triggers the updated product to rebuild with fresh data.
- API38
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- Fast4
- Not fast3
- PHP2
- Not fast with MongoDB1
related Lumen posts
This is my stack in Application & Data
JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB
My Utilities Tools
Google Analytics Postman Elasticsearch
My Devops Tools
Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack
My Business Tools
Slack
Hello everyone,
I have a final-study project, and I'm responsible for making decisions for what frameworks to use (both front-end and back-end) and the software architecture to adapt.
The project is a web application for a concrete company. The main goal is to calculate what is called OEE (Overall Equipment Effectiveness), meaning simply the efficiency of the machine. The calculation and display of OEE will be in real-time, meaning that this rate will be updated every two minutes, and it will appear in a graph. Also, we have the state of the machines to display whether the machines are working just fine or there is some problem.
This will be done using IoT, meaning that important data will be sent from the machine to the web application that I will create via the API (someone else will be responsible for this matter). Of course, the application will include employees, factories, as well as machines, ... etc.
The most important thing in the application is real-time performance monitoring of machines and the OEE.
A real example of what we want to do => https://evocon.com/
I choose to use Laravel because : - This type of applications could be implemented by Laravel - Me and my colleague have some knowledge and practice with this framework (choosing other technologies like Node.js means a huge learning curve) - Easy documentation and abandon tutorials
The only reason why I choose Vue.js because It goes well with Laravel (from what I have learned).
The second important question, which software architecture should I adapt ? should I use Microservice Architecture or the normal and well-known Monolithic Architecture? I know the benefits and disadvantages of the first and second methods, but I do not want to make a wrong decision.
If I choose microservice for this project, I will use Lumen (PHP Micro-Framework By Laravel).
Should I use micro-frontend as well? Like VuMS, or it's not necessary for this project?
I don't think that the reasons to choose Laravel are enough, so I want to understand the obstacles that I may face during the development.
In the end, I decided to ask and take expert opinions.
NOTE: this web application will be used by other companies, like in the case of evocon.
If there are tips and things that I must know to accomplish this project, please mention them.
Thank you very much.
- Microframework33
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- Restful & fast framework8
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- Modular5
- Clear and straightforward5
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- Dependency injection4
- Composer2
- Easy to learn2
related Slim posts
Ember.js PHP MySQL Propel Slim Intercom
Mostly CRUD app, using propel orm, jsonapi serializers and ember.js frontend, this app was in ember 2.16 and we recently upgraded without any issue to 3.15, propel is super good as ORM, slim is a thin framework basically for routing and middleware
I'm about to start a new project to build a REST API, and I got to this point: Yii2 Vs Lumen Vs Slim, I used Yii 1.1 a while a go and it was awesome, really easy to work with, as a developer you don't have to worry about almost anything, just setup the framework, get your php extensions, and start coding your app.
But, I was told about performance and someone recomended Lumen or Slim to work with a micro framework and a less bloated framework, what worries me is the lack of advantages that Yii2 offers, ACF and RBAC as a native tool on the framework, gii, the model validations and all the security props already in it.
Is it worth it? Is the performance so great on those frameworks to leave aside the advantages of a framework like Yii2?
How do you suggest to make the test to prove wich one is better?
PHP Lumen Yii Slim
JavaScript
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- Async15
- Full-stack13
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- Setup is easy12
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- Can be ugly6
- No GitHub3
- Slow2
- HORRIBLE DOCUMENTS, faulty code, repo has bugs0
related JavaScript posts
Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.
But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.
But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.
Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.
How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:
Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.
Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:
https://eng.uber.com/distributed-tracing/
(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)
Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark
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- Import antigravity8
- Print "life is short, use python"7
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- Although practicality beats purity6
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- Meta classes2
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related Python posts
How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:
Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.
Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:
https://eng.uber.com/distributed-tracing/
(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)
Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark
Hi, I have an LMS application, currently developed in Python-Django.
It works all very well, students can view their classes and submit exams, but I have noticed that some students are sharing exam answers with other students and let's say they already have a model of the exams.
I want with the help of artificial intelligence, the exams to have different questions and in a different order for each student, what technology should I learn to develop something like this? I am a Python-Django developer but my focus is on web development, I have never touched anything from A.I.
What do you think about TensorFlow?
Please, I would appreciate all your ideas and opinions, thank you very much in advance.
Node.js
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- Websockets86
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- Easy and Fun15
- Easy and powerful14
- Future of BackEnd13
- Same lang as AngularJS13
- Fullstack12
- Fast11
- Scalability10
- Cross platform10
- Simple9
- Mean Stack8
- Great for webapps7
- Easy concurrency7
- Typescript6
- Fast, simple code and async6
- React6
- Friendly6
- Control everything5
- Its amazingly fast and scalable5
- Easy to use and fast and goes well with JSONdb's5
- Scalable5
- Great speed5
- Fast development5
- It's fast4
- Easy to use4
- Isomorphic coolness4
- Great community3
- Not Python3
- Sooper easy for the Backend connectivity3
- TypeScript Support3
- Blazing fast3
- Performant and fast prototyping3
- Easy to learn3
- Easy3
- Scales, fast, simple, great community, npm, express3
- One language, end-to-end3
- Less boilerplate code3
- Npm i ape-updating2
- Event Driven2
- Lovely2
- Creat for apis1
- Node0
- Bound to a single CPU46
- New framework every day45
- Lots of terrible examples on the internet40
- Asynchronous programming is the worst33
- Callback24
- Javascript19
- Dependency hell11
- Dependency based on GitHub11
- Low computational power10
- Very very Slow7
- Can block whole server easily7
- Callback functions may not fire on expected sequence7
- Breaking updates4
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- Unneeded over complication3
- No standard approach3
- Bad transitive dependency management1
- Can't read server session1
related Node.js posts
Needs advice on code coverage tool in Node.js/ExpressJS with External API Testing Framework
Hello community,
I have a web application with the backend developed using Node.js and Express.js. The backend server is in one directory, and I have a separate API testing framework, made using SuperTest, Mocha, and Chai, in another directory. The testing framework pings the API, retrieves responses, and performs validations.
I'm currently looking for a code coverage tool that can accurately measure the code coverage of my backend code when triggered by the API testing framework. I've tried using Istanbul and NYC with instrumented code, but the results are not as expected.
Could you please recommend a reliable code coverage tool or suggest an approach to effectively measure the code coverage of my Node.js/Express.js backend code in this setup?
I just finished the very first version of my new hobby project: #MovieGeeks. It is a minimalist online movie catalog for you to save the movies you want to see and for rating the movies you already saw. This is just the beginning as I am planning to add more features on the lines of sharing and discovery
For the #BackEnd I decided to use Node.js , GraphQL and MongoDB:
Node.js has a huge community so it will always be a safe choice in terms of libraries and finding solutions to problems you may have
GraphQL because I needed to improve my skills with it and because I was never comfortable with the usual REST approach. I believe GraphQL is a better option as it feels more natural to write apis, it improves the development velocity, by definition it fixes the over-fetching and under-fetching problem that is so common on REST apis, and on top of that, the community is getting bigger and bigger.
MongoDB was my choice for the database as I already have a lot of experience working on it and because, despite of some bad reputation it has acquired in the last months, I still believe it is a powerful database for at least a very long list of use cases such as the one I needed for my website
- New doctype448
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- Compatible2
- Very easy to learning to HTML2
- Semantic Header and Footer, Geolocation, New Doctype2
- Portability2
- Easy to forget the tags when you're a begginner2
- Long and winding code1
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Hey guys, I need some advice on one thing. Currently, I am a fresher and know HTML5, CSS, JavaScript, PHP and, MySQL. Recently I got a client project through one of my friends and he wants me to build an E-learning Management System. Are these skills enough to build an LMS website?
Thanks in advance!! ;)
Few years ago we were building a Next.js site with a few simple forms. This required handling forms validation and submission, but instead of picking some forms library, we went with plain JavaScript and constraint validation API in HTML5. This shaved off a few KBs of dependencies and gave us full control over the validation behavior and look. I describe this approach, with its pros and cons, in a blog post.