Alternatives to JSON API logo

Alternatives to JSON API

REST, GraphQL, OpenAPI, OData, and JavaScript are the most popular alternatives and competitors to JSON API.
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What is JSON API and what are its top alternatives?

It is most widely used data format for data interchange on the web. This data interchange can happen between two computers applications at different geographical locations or running within same hardware machine.
JSON API is a tool in the Query Languages category of a tech stack.

Top Alternatives to JSON API

  • REST
    REST

    An architectural style for developing web services. A distributed system framework that uses Web protocols and technologies. ...

  • GraphQL
    GraphQL

    GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012. ...

  • OpenAPI
    OpenAPI

    It is a publicly available application programming interface that provides developers with programmatic access to a proprietary software application or web service. ...

  • OData
    OData

    It is an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. It helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query options, etc. ...

  • JavaScript
    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

    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

    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

    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. ...

JSON API alternatives & related posts

REST logo

REST

20
0
A software architectural style
20
0
PROS OF REST
  • 4
    Popularity
CONS OF REST
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    related REST posts

    GraphQL logo

    GraphQL

    33.9K
    310
    A data query language and runtime
    33.9K
    310
    PROS OF GRAPHQL
    • 75
      Schemas defined by the requests made by the user
    • 63
      Will replace RESTful interfaces
    • 62
      The future of API's
    • 49
      The future of databases
    • 13
      Self-documenting
    • 12
      Get many resources in a single request
    • 6
      Query Language
    • 6
      Ask for what you need, get exactly that
    • 3
      Fetch different resources in one request
    • 3
      Type system
    • 3
      Evolve your API without versions
    • 2
      Ease of client creation
    • 2
      GraphiQL
    • 2
      Easy setup
    • 1
      "Open" document
    • 1
      Fast prototyping
    • 1
      Supports subscription
    • 1
      Standard
    • 1
      Good for apps that query at build time. (SSR/Gatsby)
    • 1
      1. Describe your data
    • 1
      Better versioning
    • 1
      Backed by Facebook
    • 1
      Easy to learn
    CONS OF GRAPHQL
    • 4
      Hard to migrate from GraphQL to another technology
    • 4
      More code to type.
    • 2
      Takes longer to build compared to schemaless.
    • 1
      No support for caching
    • 1
      All the pros sound like NFT pitches
    • 1
      No support for streaming
    • 1
      Works just like any other API at runtime
    • 1
      N+1 fetch problem
    • 1
      No built in security

    related GraphQL posts

    Shared insights
    on
    Node.jsNode.jsGraphQLGraphQLMongoDBMongoDB

    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:

    1. 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

    2. 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.

    3. 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

    See more
    Nick Rockwell
    SVP, Engineering at Fastly · | 46 upvotes · 4.1M views

    When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. So, I wasn't passing judgment on it. I mean, LAMP's fine, you can do good work in LAMP. It's a little dated at this point, but it's not ... I didn't want to rip it out for its own sake, but everyone else was like, "We don't like this, it's really inflexible." And I remember from being outside the company when that was called MIT FIVE when it had launched. And been observing it from the outside, and I was like, you guys took so long to do that and you did it so carefully, and yet you're not happy with your decisions. Why is that? That was more the impetus. If we're going to do this again, how are we going to do it in a way that we're gonna get a better result?

    So we're moving quickly away from LAMP, I would say. So, right now, the new front end is React based and using Apollo. And we've been in a long, protracted, gradual rollout of the core experiences.

    React is now talking to GraphQL as a primary API. There's a Node.js back end, to the front end, which is mainly for server-side rendering, as well.

    Behind there, the main repository for the GraphQL server is a big table repository, that we call Bodega because it's a convenience store. And that reads off of a Kafka pipeline.

    See more
    OpenAPI logo

    OpenAPI

    658
    6
    Allows the owner of a network-accessible service to give universal access
    658
    6
    PROS OF OPENAPI
    • 1
      Easy to read the template generated
    • 1
      The most popular api spec
    • 1
      Easy to learn
    • 1
      Supports versioning
    • 1
      Supports authentication
    • 1
      Supports caching
    CONS OF OPENAPI
      Be the first to leave a con

      related OpenAPI posts

      Saurav Pandit
      Application Devloper at Bny Mellon · | 9 upvotes · 323.8K views

      I have just started learning Python 3 week back. I want to create REST api using python. The api will be use to save form data in Oracle database. The front end is using AngularJS 8 with Angular Material. In python there are so many framework for developing REST ** I am looking for some suggestions which REST framework to choose? ** Here are some feature I am looking for * Easy integration and unit testing like in Angular we just run command. * Code packageing, like in Java maven project we can build and package. I am looking for something which I can push in artifactory and deploy whole code as package. *Support for swagger/ OpenAPI * Support for JSON Web Token * Support for testcase coverage report Framework can have feature included or can be available by extension.

      See more
      Joshua Dean Küpper
      CEO at Scrayos UG (haftungsbeschränkt) · | 4 upvotes · 562.3K views

      We use Swagger Inspector in conjunction with our universal REST-API "Charon". Swagger Inspector makes testing edge-cases hassle-free and lets testing look easy. Swagger Inspector was also a great help to explore the Mojang-API, that we are dependent on, because it is the central repository for minecraft-account-data.

      We previously used Postman but decided to switch over to Swagger Inspector because it also integrated seamlessly into Swagger UI, which we use for displaying our OpenAPI specification of said REST-API.

      See more
      OData logo

      OData

      57
      35
      A REST-based protocol for querying and updating data
      57
      35
      PROS OF ODATA
      • 7
        Patterns for paging, sorting, filtering
      • 5
        ISO Standard
      • 4
        Query Language
      • 3
        RESTful
      • 3
        No overfetching, no underfetching
      • 2
        Get many resources in a single request
      • 2
        Self-documenting
      • 2
        Batch requests
      • 2
        Bulk requests ("array upsert")
      • 2
        Ask for what you need, get exactly that
      • 1
        Evolve your API by following the compatibility rules
      • 1
        Resource model defines conventional operations
      • 1
        Resource Modification Language
      CONS OF ODATA
      • 1
        Overwhelming, no "baby steps" documentation

      related OData posts

      JavaScript logo

      JavaScript

      361.6K
      8.1K
      Lightweight, interpreted, object-oriented language with first-class functions
      361.6K
      8.1K
      PROS OF JAVASCRIPT
      • 1.7K
        Can be used on frontend/backend
      • 1.5K
        It's everywhere
      • 1.2K
        Lots of great frameworks
      • 898
        Fast
      • 746
        Light weight
      • 425
        Flexible
      • 392
        You can't get a device today that doesn't run js
      • 286
        Non-blocking i/o
      • 237
        Ubiquitousness
      • 191
        Expressive
      • 55
        Extended functionality to web pages
      • 49
        Relatively easy language
      • 46
        Executed on the client side
      • 30
        Relatively fast to the end user
      • 25
        Pure Javascript
      • 21
        Functional programming
      • 15
        Async
      • 13
        Full-stack
      • 12
        Future Language of The Web
      • 12
        Setup is easy
      • 12
        Its everywhere
      • 11
        Because I love functions
      • 11
        JavaScript is the New PHP
      • 10
        Like it or not, JS is part of the web standard
      • 9
        Easy
      • 9
        Can be used in backend, frontend and DB
      • 9
        Expansive community
      • 9
        Everyone use it
      • 8
        Easy to hire developers
      • 8
        Most Popular Language in the World
      • 8
        For the good parts
      • 8
        Can be used both as frontend and backend as well
      • 8
        No need to use PHP
      • 8
        Powerful
      • 7
        Evolution of C
      • 7
        Its fun and fast
      • 7
        It's fun
      • 7
        Nice
      • 7
        Versitile
      • 7
        Hard not to use
      • 7
        Popularized Class-Less Architecture & Lambdas
      • 7
        Agile, packages simple to use
      • 7
        Supports lambdas and closures
      • 7
        Love-hate relationship
      • 7
        Photoshop has 3 JS runtimes built in
      • 6
        1.6K Can be used on frontend/backend
      • 6
        Client side JS uses the visitors CPU to save Server Res
      • 6
        It let's me use Babel & Typescript
      • 6
        Easy to make something
      • 6
        Can be used on frontend/backend/Mobile/create PRO Ui
      • 5
        Client processing
      • 5
        What to add
      • 5
        Everywhere
      • 5
        Scope manipulation
      • 5
        Function expressions are useful for callbacks
      • 5
        Stockholm Syndrome
      • 5
        Promise relationship
      • 5
        Clojurescript
      • 4
        Only Programming language on browser
      • 4
        Because it is so simple and lightweight
      • 1
        Easy to learn and test
      • 1
        Easy to understand
      • 1
        Not the best
      • 1
        Subskill #4
      • 1
        Hard to learn
      • 1
        Test2
      • 1
        Test
      • 1
        Easy to learn
      • 0
        Hard 彤
      CONS OF JAVASCRIPT
      • 22
        A constant moving target, too much churn
      • 20
        Horribly inconsistent
      • 15
        Javascript is the New PHP
      • 9
        No ability to monitor memory utilitization
      • 8
        Shows Zero output in case of ANY error
      • 7
        Thinks strange results are better than errors
      • 6
        Can be ugly
      • 3
        No GitHub
      • 2
        Slow
      • 0
        HORRIBLE DOCUMENTS, faulty code, repo has bugs

      related JavaScript posts

      Zach Holman

      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.

      See more
      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 12.7M views

      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

      See more
      Python logo

      Python

      245.3K
      6.9K
      A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
      245.3K
      6.9K
      PROS OF PYTHON
      • 1.2K
        Great libraries
      • 963
        Readable code
      • 847
        Beautiful code
      • 788
        Rapid development
      • 691
        Large community
      • 438
        Open source
      • 393
        Elegant
      • 282
        Great community
      • 273
        Object oriented
      • 221
        Dynamic typing
      • 77
        Great standard library
      • 60
        Very fast
      • 55
        Functional programming
      • 50
        Easy to learn
      • 46
        Scientific computing
      • 35
        Great documentation
      • 29
        Productivity
      • 28
        Matlab alternative
      • 28
        Easy to read
      • 24
        Simple is better than complex
      • 20
        It's the way I think
      • 19
        Imperative
      • 18
        Very programmer and non-programmer friendly
      • 18
        Free
      • 17
        Machine learning support
      • 17
        Powerfull language
      • 16
        Fast and simple
      • 14
        Scripting
      • 12
        Explicit is better than implicit
      • 11
        Ease of development
      • 10
        Clear and easy and powerfull
      • 9
        Unlimited power
      • 8
        Import antigravity
      • 8
        It's lean and fun to code
      • 7
        Print "life is short, use python"
      • 7
        Python has great libraries for data processing
      • 6
        High Documented language
      • 6
        I love snakes
      • 6
        Readability counts
      • 6
        Rapid Prototyping
      • 6
        Now is better than never
      • 6
        Although practicality beats purity
      • 6
        Flat is better than nested
      • 6
        Great for tooling
      • 6
        There should be one-- and preferably only one --obvious
      • 6
        Fast coding and good for competitions
      • 5
        Web scraping
      • 5
        Lists, tuples, dictionaries
      • 5
        Great for analytics
      • 4
        Beautiful is better than ugly
      • 4
        Easy to learn and use
      • 4
        Easy to setup and run smooth
      • 4
        Multiple Inheritence
      • 4
        CG industry needs
      • 4
        Socially engaged community
      • 4
        Complex is better than complicated
      • 4
        Plotting
      • 4
        Simple and easy to learn
      • 3
        List comprehensions
      • 3
        Powerful language for AI
      • 3
        Flexible and easy
      • 3
        It is Very easy , simple and will you be love programmi
      • 3
        Many types of collections
      • 3
        If the implementation is easy to explain, it may be a g
      • 3
        If the implementation is hard to explain, it's a bad id
      • 3
        Special cases aren't special enough to break the rules
      • 3
        Pip install everything
      • 3
        No cruft
      • 3
        Generators
      • 3
        Import this
      • 2
        Batteries included
      • 2
        Securit
      • 2
        Can understand easily who are new to programming
      • 2
        Should START with this but not STICK with This
      • 2
        A-to-Z
      • 2
        Because of Netflix
      • 2
        Only one way to do it
      • 2
        Better outcome
      • 2
        Good for hacking
      • 1
        Best friend for NLP
      • 1
        Sexy af
      • 1
        Procedural programming
      • 1
        Automation friendly
      • 1
        Slow
      • 0
        Keep it simple
      • 0
        Powerful
      • 0
        Ni
      CONS OF PYTHON
      • 53
        Still divided between python 2 and python 3
      • 28
        Performance impact
      • 26
        Poor syntax for anonymous functions
      • 22
        GIL
      • 19
        Package management is a mess
      • 14
        Too imperative-oriented
      • 12
        Hard to understand
      • 12
        Dynamic typing
      • 12
        Very slow
      • 8
        Indentations matter a lot
      • 8
        Not everything is expression
      • 7
        Incredibly slow
      • 7
        Explicit self parameter in methods
      • 6
        Requires C functions for dynamic modules
      • 6
        Poor DSL capabilities
      • 6
        No anonymous functions
      • 5
        Fake object-oriented programming
      • 5
        Threading
      • 5
        The "lisp style" whitespaces
      • 5
        Official documentation is unclear.
      • 5
        Hard to obfuscate
      • 5
        Circular import
      • 4
        Lack of Syntax Sugar leads to "the pyramid of doom"
      • 4
        The benevolent-dictator-for-life quit
      • 4
        Not suitable for autocomplete
      • 2
        Meta classes
      • 1
        Training wheels (forced indentation)

      related Python posts

      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 12.7M views

      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

      See more
      Nick Parsons
      Building cool things on the internet 🛠️ at Stream · | 35 upvotes · 4.3M views

      Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.

      We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)

      We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.

      Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.

      #FrameworksFullStack #Languages

      See more
      Node.js logo

      Node.js

      189K
      8.5K
      A platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
      189K
      8.5K
      PROS OF NODE.JS
      • 1.4K
        Npm
      • 1.3K
        Javascript
      • 1.1K
        Great libraries
      • 1K
        High-performance
      • 805
        Open source
      • 486
        Great for apis
      • 477
        Asynchronous
      • 424
        Great community
      • 390
        Great for realtime apps
      • 296
        Great for command line utilities
      • 85
        Websockets
      • 83
        Node Modules
      • 69
        Uber Simple
      • 59
        Great modularity
      • 58
        Allows us to reuse code in the frontend
      • 42
        Easy to start
      • 35
        Great for Data Streaming
      • 32
        Realtime
      • 28
        Awesome
      • 25
        Non blocking IO
      • 18
        Can be used as a proxy
      • 17
        High performance, open source, scalable
      • 16
        Non-blocking and modular
      • 15
        Easy and Fun
      • 14
        Easy and powerful
      • 13
        Future of BackEnd
      • 13
        Same lang as AngularJS
      • 12
        Fullstack
      • 11
        Fast
      • 10
        Scalability
      • 10
        Cross platform
      • 9
        Simple
      • 8
        Mean Stack
      • 7
        Great for webapps
      • 7
        Easy concurrency
      • 6
        Typescript
      • 6
        Fast, simple code and async
      • 6
        React
      • 6
        Friendly
      • 5
        Control everything
      • 5
        Its amazingly fast and scalable
      • 5
        Easy to use and fast and goes well with JSONdb's
      • 5
        Scalable
      • 5
        Great speed
      • 5
        Fast development
      • 4
        It's fast
      • 4
        Easy to use
      • 4
        Isomorphic coolness
      • 3
        Great community
      • 3
        Not Python
      • 3
        Sooper easy for the Backend connectivity
      • 3
        TypeScript Support
      • 3
        Blazing fast
      • 3
        Performant and fast prototyping
      • 3
        Easy to learn
      • 3
        Easy
      • 3
        Scales, fast, simple, great community, npm, express
      • 3
        One language, end-to-end
      • 3
        Less boilerplate code
      • 2
        Npm i ape-updating
      • 2
        Event Driven
      • 2
        Lovely
      • 1
        Creat for apis
      • 0
        Node
      CONS OF NODE.JS
      • 46
        Bound to a single CPU
      • 45
        New framework every day
      • 40
        Lots of terrible examples on the internet
      • 33
        Asynchronous programming is the worst
      • 24
        Callback
      • 19
        Javascript
      • 11
        Dependency hell
      • 11
        Dependency based on GitHub
      • 10
        Low computational power
      • 7
        Very very Slow
      • 7
        Can block whole server easily
      • 7
        Callback functions may not fire on expected sequence
      • 4
        Breaking updates
      • 4
        Unstable
      • 3
        Unneeded over complication
      • 3
        No standard approach
      • 1
        Bad transitive dependency management
      • 1
        Can't read server session

      related Node.js posts

      Shared insights
      on
      Node.jsNode.jsGraphQLGraphQLMongoDBMongoDB

      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:

      1. 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

      2. 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.

      3. 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

      See more
      Anurag Maurya

      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?

      See more
      HTML5 logo

      HTML5

      149K
      2.2K
      5th major revision of the core language of the World Wide Web
      149K
      2.2K
      PROS OF HTML5
      • 447
        New doctype
      • 389
        Local storage
      • 334
        Canvas
      • 285
        Semantic header and footer
      • 240
        Video element
      • 121
        Geolocation
      • 106
        Form autofocus
      • 100
        Email inputs
      • 85
        Editable content
      • 79
        Application caches
      • 10
        Easy to use
      • 9
        Cleaner Code
      • 5
        Easy
      • 4
        Websockets
      • 4
        Semantical
      • 3
        Better
      • 3
        Audio element
      • 3
        Modern
      • 2
        Portability
      • 2
        Semantic Header and Footer, Geolocation, New Doctype
      • 2
        Content focused
      • 2
        Compatible
      • 1
        Very easy to learning to HTML
      CONS OF HTML5
      • 1
        Easy to forget the tags when you're a begginner
      • 1
        Long and winding code

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      Jan Vlnas
      Senior Software Engineer at Mews · | 26 upvotes · 405.7K views
      Shared insights
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      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.

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      Jonathan Pugh
      Software Engineer / Project Manager / Technical Architect · | 25 upvotes · 3M views

      I needed to choose a full stack of tools for cross platform mobile application design & development. After much research and trying different tools, these are what I came up with that work for me today:

      For the client coding I chose Framework7 because of its performance, easy learning curve, and very well designed, beautiful UI widgets. I think it's perfect for solo development or small teams. I didn't like React Native. It felt heavy to me and rigid. Framework7 allows the use of #CSS3, which I think is the best technology to come out of the #WWW movement. No other tech has been able to allow designers and developers to develop such flexible, high performance, customisable user interface elements that are highly responsive and hardware accelerated before. Now #CSS3 includes variables and flexboxes it is truly a powerful language and there is no longer a need for preprocessors such as #SCSS / #Sass / #less. React Native contains a very limited interpretation of #CSS3 which I found very frustrating after using #CSS3 for some years already and knowing its powerful features. The other very nice feature of Framework7 is that you can even build for the browser if you want your app to be available for desktop web browsers. The latest release also includes the ability to build for #Electron so you can have MacOS, Windows and Linux desktop apps. This is not possible with React Native yet.

      Framework7 runs on top of Apache Cordova. Cordova and webviews have been slated as being slow in the past. Having a game developer background I found the tweeks to make it run as smooth as silk. One of those tweeks is to use WKWebView. Another important one was using srcset on images.

      I use #Template7 for the for the templating system which is a no-nonsense mobile-centric #HandleBars style extensible templating system. It's easy to write custom helpers for, is fast and has a small footprint. I'm not forced into a new paradigm or learning some new syntax. It operates with standard JavaScript, HTML5 and CSS 3. It's written by the developer of Framework7 and so dovetails with it as expected.

      I configured TypeScript to work with the latest version of Framework7. I consider TypeScript to be one of the best creations to come out of Microsoft in some time. They must have an amazing team working on it. It's very powerful and flexible. It helps you catch a lot of bugs and also provides code completion in supporting IDEs. So for my IDE I use Visual Studio Code which is a blazingly fast and silky smooth editor that integrates seamlessly with TypeScript for the ultimate type checking setup (both products are produced by Microsoft).

      I use Webpack and Babel to compile the JavaScript. TypeScript can compile to JavaScript directly but Babel offers a few more options and polyfills so you can use the latest (and even prerelease) JavaScript features today and compile to be backwards compatible with virtually any browser. My favorite recent addition is "optional chaining" which greatly simplifies and increases readability of a number of sections of my code dealing with getting and setting data in nested objects.

      I use some Ruby scripts to process images with ImageMagick and pngquant to optimise for size and even auto insert responsive image code into the HTML5. Ruby is the ultimate cross platform scripting language. Even as your scripts become large, Ruby allows you to refactor your code easily and make it Object Oriented if necessary. I find it the quickest and easiest way to maintain certain aspects of my build process.

      For the user interface design and prototyping I use Figma. Figma has an almost identical user interface to #Sketch but has the added advantage of being cross platform (MacOS and Windows). Its real-time collaboration features are outstanding and I use them a often as I work mostly on remote projects. Clients can collaborate in real-time and see changes I make as I make them. The clickable prototyping features in Figma are also very well designed and mean I can send clickable prototypes to clients to try user interface updates as they are made and get immediate feedback. I'm currently also evaluating the latest version of #AdobeXD as an alternative to Figma as it has the very cool auto-animate feature. It doesn't have real-time collaboration yet, but I heard it is proposed for 2019.

      For the UI icons I use Font Awesome Pro. They have the largest selection and best looking icons you can find on the internet with several variations in styles so you can find most of the icons you want for standard projects.

      For the backend I was using the #GraphCool Framework. As I later found out, #GraphQL still has some way to go in order to provide the full power of a mature graph query language so later in my project I ripped out #GraphCool and replaced it with CouchDB and Pouchdb. Primarily so I could provide good offline app support. CouchDB with Pouchdb is very flexible and efficient combination and overcomes some of the restrictions I found in #GraphQL and hence #GraphCool also. The most impressive and important feature of CouchDB is its replication. You can configure it in various ways for backups, fault tolerance, caching or conditional merging of databases. CouchDB and Pouchdb even supports storing, retrieving and serving binary or image data or other mime types. This removes a level of complexity usually present in database implementations where binary or image data is usually referenced through an #HTML5 link. With CouchDB and Pouchdb apps can operate offline and sync later, very efficiently, when the network connection is good.

      I use PhoneGap when testing the app. It auto-reloads your app when its code is changed and you can also install it on Android phones to preview your app instantly. iOS is a bit more tricky cause of Apple's policies so it's not available on the App Store, but you can build it and install it yourself to your device.

      So that's my latest mobile stack. What tools do you use? Have you tried these ones?

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