Alternatives to PyQt logo

Alternatives to PyQt

Qt, Kivy, pygame, JavaScript, and Python are the most popular alternatives and competitors to PyQt.
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What is PyQt and what are its top alternatives?

It is a set of Python v2 and v3 bindings for Qt application framework and runs on all platforms supported by Qt including Windows, OS X, Linux, iOS and Android. PyQt5 supports Qt v5. PyQt4 supports Qt v4 and will build against Qt v5. The bindings are implemented as a set of Python modules and contain over 1,000 classes.
PyQt is a tool in the Cross-Platform Mobile Development category of a tech stack.

Top Alternatives to PyQt

  • Qt
    Qt

    Qt, a leading cross-platform application and UI framework. With Qt, you can develop applications once and deploy to leading desktop, embedded & mobile targets. ...

  • Kivy
    Kivy

    It is an open source Python library for rapid development of applications that make use of innovative user interfaces, such as multi-touch apps. It runs on Linux, Windows, OS X, Android, iOS, and Raspberry Pi. You can run the same code on all supported platforms. ...

  • pygame
    pygame

    It is a cross-platform set of Python modules designed for writing video games. It includes computer graphics and sound libraries designed to be used with the Python programming language. ...

  • 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. ...

  • PHP
    PHP

    Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world. ...

PyQt alternatives & related posts

Qt logo

Qt

456
138
A leading cross-platform application and UI framework
456
138
PROS OF QT
  • 17
    High Performance
  • 13
    Declarative, easy and flexible UI
  • 12
    Cross platform
  • 12
    Performance
  • 9
    Fast prototyping
  • 8
    Easiest integration with C++
  • 8
    Up to date framework
  • 7
    Python
  • 6
    Multiple license including Open Source and Commercial
  • 6
    Safe 2D Renderer
  • 5
    Great Community Support
  • 4
    HW Accelerated UI
  • 4
    Game Engine like UI system
  • 3
    No history of broken compatibility with a major version
  • 3
    JIT and QML Compiler
  • 3
    True cross-platform framework with native code compile
  • 3
    Reliable for industrial use
  • 3
    Pure C++
  • 3
    Been using it since the 90s - runs anywhere does it all
  • 2
    Open source
  • 2
    Easy Integrating to DX and OpenGL and Vulkan
  • 2
    From high to low level coding
  • 1
    Learning Curve
  • 1
    Great mobile support with Felgo add-on
  • 1
    Native looking GUI
CONS OF QT
  • 5
    Paid
  • 4
    C++ is not so productive
  • 2
    Lack of community support
  • 1
    Lack of libraries
  • 1
    Not detailed documentation

related Qt posts

Shared insights
on
QtQtLinuxLinux

Hi Everyone, I need to choose a graphics framework for app development on Linux. Since I know Qt from previous projects it would be a straightforward choice for me but the cost is a huge issue in this project. Any advice for a free and nice framework to use for app development? The requested UI contains some dynamic elements, like graphs, etc. Thanks in advance!

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Kivy logo

Kivy

91
20
An open source Python framework
91
20
PROS OF KIVY
  • 8
    Readable
  • 6
    Pythonic
  • 5
    Simple
  • 1
    Convert to APK file
CONS OF KIVY
  • 2
    Same function but different name for different widgets

related Kivy posts

William Miller

We are developing an AWS IoT app for large boats. The IoT devices have sensors all over the boat for engine oil pressure, position, water depth, fuel level, crew location, etc. When the boat has internet, we interact with AWS cloud using lambda and Amazon DynamoDB. When the boat is offshore, the captain and crew still need normal and emergency alerts and real-time sensor information. The crew might have an Android or IoS phone or a Windows or macOS PC to receive alerts and interact with sensors. We may use the AWS GreenGrasss edge computing solution and either MQTT or HTML for that function.

Question: We want to develop a cross-platform client to run on Windows, Mac, Android, IOS, and possibly Linux. We are primarily Python programmers, so PyQt or Kivy are options for us, but we have heard good things about React Native, Flutter, Xamarin, and others. We think an AWS Greengrass core on an RPI4 could communicate to the client with MQTT or a local webserver with a client web interface.

Any thoughts would be much appreciated.

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Shared insights
on
FlutterFlutterKivyKivyPyCharmPyCharmPythonPython

I want to start working on mobile applications with Python, which tool do I need to consider with PyCharm, Kivy, or Flutter?

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pygame logo

pygame

117
5
Open Source python programming language library for making multimedia applications
117
5
PROS OF PYGAME
  • 3
    Easy to install
  • 1
    Simple
  • 1
    Lightweigt by only being 12 mb
CONS OF PYGAME
  • 2
    Has only 2d
  • 1
    Slow

related pygame posts

JavaScript logo

JavaScript

370.9K
8.1K
Lightweight, interpreted, object-oriented language with first-class functions
370.9K
8.1K
PROS OF JAVASCRIPT
  • 1.7K
    Can be used on frontend/backend
  • 1.5K
    It's everywhere
  • 1.2K
    Lots of great frameworks
  • 899
    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
    Its everywhere
  • 12
    Future Language of The Web
  • 12
    Setup is easy
  • 11
    JavaScript is the New PHP
  • 11
    Because I love functions
  • 10
    Like it or not, JS is part of the web standard
  • 9
    Everyone use it
  • 9
    Can be used in backend, frontend and DB
  • 9
    Easy
  • 9
    Expansive community
  • 8
    For the good parts
  • 8
    Easy to hire developers
  • 8
    No need to use PHP
  • 8
    Most Popular Language in the World
  • 8
    Powerful
  • 8
    Can be used both as frontend and backend as well
  • 7
    It's fun
  • 7
    Its fun and fast
  • 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
  • 7
    Evolution of C
  • 7
    Hard not to use
  • 7
    Versitile
  • 7
    Nice
  • 6
    Easy to make something
  • 6
    Can be used on frontend/backend/Mobile/create PRO Ui
  • 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
  • 5
    Clojurescript
  • 5
    Everywhere
  • 5
    Scope manipulation
  • 5
    Function expressions are useful for callbacks
  • 5
    Stockholm Syndrome
  • 5
    Promise relationship
  • 5
    Client processing
  • 5
    What to add
  • 4
    Because it is so simple and lightweight
  • 4
    Only Programming language on browser
  • 1
    Subskill #4
  • 1
    Test2
  • 1
    Easy to understand
  • 1
    Not the best
  • 1
    Easy to learn
  • 1
    Hard to learn
  • 1
    Easy to learn and test
  • 1
    Love it
  • 1
    Test
  • 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 · 13.3M 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

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Python logo

Python

250.2K
6.9K
A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
250.2K
6.9K
PROS OF PYTHON
  • 1.2K
    Great libraries
  • 965
    Readable code
  • 848
    Beautiful code
  • 789
    Rapid development
  • 692
    Large community
  • 439
    Open source
  • 394
    Elegant
  • 283
    Great community
  • 274
    Object oriented
  • 222
    Dynamic typing
  • 78
    Great standard library
  • 62
    Very fast
  • 56
    Functional programming
  • 52
    Easy to learn
  • 47
    Scientific computing
  • 36
    Great documentation
  • 30
    Productivity
  • 29
    Matlab alternative
  • 29
    Easy to read
  • 25
    Simple is better than complex
  • 21
    It's the way I think
  • 20
    Imperative
  • 19
    Very programmer and non-programmer friendly
  • 19
    Free
  • 17
    Powerfull language
  • 17
    Machine learning support
  • 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
    It's lean and fun to code
  • 8
    Import antigravity
  • 7
    Print "life is short, use python"
  • 7
    Python has great libraries for data processing
  • 6
    Although practicality beats purity
  • 6
    Fast coding and good for competitions
  • 6
    There should be one-- and preferably only one --obvious
  • 6
    High Documented language
  • 6
    Readability counts
  • 6
    Rapid Prototyping
  • 6
    I love snakes
  • 6
    Now is better than never
  • 6
    Flat is better than nested
  • 6
    Great for tooling
  • 5
    Great for analytics
  • 5
    Web scraping
  • 5
    Lists, tuples, dictionaries
  • 4
    Complex is better than complicated
  • 4
    Socially engaged community
  • 4
    Plotting
  • 4
    Beautiful is better than ugly
  • 4
    Easy to learn and use
  • 4
    Easy to setup and run smooth
  • 4
    Simple and easy to learn
  • 4
    Multiple Inheritence
  • 4
    CG industry needs
  • 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
    Can understand easily who are new to programming
  • 2
    Securit
  • 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
  • 2
    Batteries included
  • 2
    Procedural programming
  • 1
    Sexy af
  • 1
    Automation friendly
  • 1
    Slow
  • 1
    Best friend for NLP
  • 0
    Powerful
  • 0
    Keep it simple
  • 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 · 13.3M 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
Shared insights
on
TensorFlowTensorFlowDjangoDjangoPythonPython

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.

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Node.js logo

Node.js

192.9K
8.5K
A platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
192.9K
8.5K
PROS OF NODE.JS
  • 1.4K
    Npm
  • 1.3K
    Javascript
  • 1.1K
    Great libraries
  • 1K
    High-performance
  • 805
    Open source
  • 487
    Great for apis
  • 477
    Asynchronous
  • 425
    Great community
  • 390
    Great for realtime apps
  • 296
    Great for command line utilities
  • 86
    Websockets
  • 84
    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

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?

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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

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HTML5 logo

HTML5

153.1K
2.2K
5th major revision of the core language of the World Wide Web
153.1K
2.2K
PROS OF HTML5
  • 448
    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
    Audio element
  • 3
    Content focused
  • 3
    Better
  • 3
    Modern
  • 2
    Compatible
  • 2
    Very easy to learning to HTML
  • 2
    Semantic Header and Footer, Geolocation, New Doctype
  • 2
    Portability
CONS OF HTML5
  • 2
    Easy to forget the tags when you're a begginner
  • 1
    Long and winding code

related HTML5 posts

Shared insights
on
MySQLMySQLPHPPHPJavaScriptJavaScriptHTML5HTML5

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!! ;)

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Jan Vlnas
Senior Software Engineer at Mews · | 26 upvotes · 480.7K views
Shared insights
on
HTML5HTML5JavaScriptJavaScriptNext.jsNext.js

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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PHP logo

PHP

146.3K
4.6K
A popular general-purpose scripting language that is especially suited to web development
146.3K
4.6K
PROS OF PHP
  • 954
    Large community
  • 820
    Open source
  • 767
    Easy deployment
  • 487
    Great frameworks
  • 387
    The best glue on the web
  • 235
    Continual improvements
  • 185
    Good old web
  • 145
    Web foundation
  • 135
    Community packages
  • 125
    Tool support
  • 35
    Used by wordpress
  • 34
    Excellent documentation
  • 29
    Used by Facebook
  • 23
    Because of Symfony
  • 21
    Dynamic Language
  • 17
    Easy to learn
  • 17
    Cheap hosting
  • 15
    Very powerful web language
  • 14
    Awesome Language and easy to implement
  • 14
    Fast development
  • 14
    Because of Laravel
  • 13
    Composer
  • 12
    Flexibility, syntax, extensibility
  • 9
    Easiest deployment
  • 8
    Readable Code
  • 8
    Fast
  • 7
    Most of the web uses it
  • 7
    Short development lead times
  • 7
    Worst popularity quality ratio
  • 7
    Fastestest Time to Version 1.0 Deployments
  • 6
    Faster then ever
  • 6
    Simple, flexible yet Scalable
  • 5
    Open source and large community
  • 4
    Easy to use and learn
  • 4
    Great developer experience
  • 4
    Has the best ecommerce(Magento,Prestashop,Opencart,etc)
  • 4
    Is like one zip of air
  • 4
    Open source and great framework
  • 4
    Large community, easy setup, easy deployment, framework
  • 4
    Cheap to own
  • 4
    Easy to learn, a big community, lot of frameworks
  • 4
    I have no choice :(
  • 2
    Hard not to use
  • 2
    Great flexibility. From fast prototyping to large apps
  • 2
    Interpreted at the run time
  • 2
    Walk away
  • 2
    FFI
  • 2
    Safe the planet
  • 2
    Used by STOMT
  • 2
    Fault tolerance
  • 1
    Simplesaml
  • 1
    Secure
  • 1
    It can get you a lamborghini
  • 1
    Bando
  • 0
    Secure
  • 0
    Largr community
CONS OF PHP
  • 21
    So easy to learn, good practices are hard to find
  • 16
    Inconsistent API
  • 8
    Fragmented community
  • 6
    Not secure
  • 3
    No routing system
  • 3
    Hard to debug
  • 2
    Old

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Nick Rockwell
SVP, Engineering at Fastly · | 46 upvotes · 4.4M 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.

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Hello, I am building a website for a school that's used by students to find Zoom meeting links, view their marks, and check course materials. It is also used by the teachers to put the meeting links, students' marks, and course materials.

I created a similar website using HTML, CSS, PHP, and MySQL. Now I want to implement this project using some frameworks: Next.js, ExpressJS and use PostgreSQL instead of MYSQL

I want to have some advice on whether these are enough to implement my project.

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