Alternatives to Twisted logo

Alternatives to Twisted

Twist, asyncio, Tornado, Flask, and JavaScript are the most popular alternatives and competitors to Twisted.
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What is Twisted and what are its top alternatives?

Twisted is an event-driven network programming framework written in Python. It allows developers to build highly scalable, asynchronous applications using protocol engines that can be connected to different network transports. Some key features of Twisted include support for TCP, UDP, SSL/TLS, WebSockets, and other protocols, as well as tools for building servers, clients, and proxy applications. However, Twisted has a steep learning curve and might be overwhelming for beginners.

  1. Tornado: Tornado is a Python web framework and asynchronous networking library that is known for its speed and performance. Key features include support for non-blocking network I/O, web server functionality, and high scalability. Pros include high performance and easy-to-use APIs, while cons can include less flexibility compared to other alternatives.

  2. asyncio: asyncio is a built-in Python library that provides events loops, coroutines, and tasks for asynchronous I/O operations. Key features include support for asynchronous programming in Python and compatibility with other libraries and frameworks. Pros include its simplicity and ease of use, while cons may include limited functionality compared to full-fledged frameworks like Twisted.

  3. Gevent: Gevent is a coroutine-based Python networking library that provides a high-level synchronous API on top of the libev event loop. Key features include asynchronous I/O with a synchronous-style API, greenlet-based cooperative multitasking, and compatibility with existing libraries. Pros include high performance and ease of use, while cons can include potential compatibility issues with certain libraries.

  4. Socket.IO: Socket.IO is a JavaScript library for realtime web applications that enables bidirectional communication between clients and servers. Key features include real-time analytics, binary streaming, and automatic reconnection. Pros include wide browser support and easy integration, while cons may include potential scalability challenges for large-scale applications.

  5. Netty: Netty is a high-performance, asynchronous networking framework written in Java that allows developers to build scalable network applications. Key features include support for multiple protocols, event-driven architecture, and support for large-scale applications. Pros include high performance and scalability, while cons can include Java-specific syntax and platform constraints.

  6. AIOHTTP: AIOHTTP is an asynchronous HTTP client and server framework for Python that is built on top of asyncio. Key features include support for websockets, middlewares, and routing. Pros include ease of use and compatibility with asyncio, while cons may include less features compared to more established frameworks like Twisted.

  7. Reactor: Reactor is a lightweight, event-driven framework for building network applications in Python. Key features include event-driven architecture, support for custom protocols, and asynchronous I/O operations. Pros include simplicity and ease of use, while cons can include limited documentation and community support compared to larger frameworks.

  8. EventMachine: EventMachine is a Ruby library for building event-driven, high-performance network applications. Key features include support for TCP and UDP protocols, easy integration with existing Ruby code, and scalability. Pros include expressive syntax and ease of use, while cons may include limited community support compared to other frameworks.

  9. Hug: Hug is a Python web framework that focuses on building APIs with an emphasis on simplicity and productivity. Key features include automatic documentation, parameter validation, and easy integration with existing code. Pros include ease of use and quick development time, while cons may include potential limitations for complex applications.

  10. Eventlet: Eventlet is a concurrent networking library for Python that allows for easy building of highly concurrent applications. Key features include coroutines, green threads, and support for event-driven programming. Pros include lightweight and easy integration, while cons may include potential compatibility issues with certain libraries and frameworks.

Top Alternatives to Twisted

  • Twist
    Twist

    Twist is a communication app for teams who believe there’s more to work than keeping up with group chat apps, created by the makers of Todoist. ...

  • asyncio
    asyncio

    This module provides infrastructure for writing single-threaded concurrent code using coroutines, multiplexing I/O access over sockets and other resources, running network clients and servers, and other related primitives. ...

  • Tornado
    Tornado

    By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user. ...

  • Flask
    Flask

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

  • 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. ...

Twisted alternatives & related posts

Twist logo

Twist

31
0
Slack without the annoying distractions
31
0
PROS OF TWIST
    Be the first to leave a pro
    CONS OF TWIST
      Be the first to leave a con

      related Twist posts

      Francisco Quintero
      Tech Lead at Dev As Pros · | 7 upvotes · 460.1K views

      For many(if not all) small and medium size business time and cost matter a lot.

      That's why languages, frameworks, tools, and services that are easy to use and provide 0 to productive in less time, it's best.

      Maybe Node.js frameworks might provide better features compared to Rails but in terms of MVPs, for us Rails is the leading alternative.

      Amazon EC2 might be cheaper and more customizable than Heroku but in the initial terms of a project, you need to complete configurationos and deploy early.

      Advanced configurations can be done down the road, when the project is running and making money, not before.

      But moving fast isn't the only thing we care about. We also take the job to leave a good codebase from the beginning and because of that we try to follow, as much as we can, style guides in Ruby with RuboCop and in JavaScript with ESLint and StandardJS.

      Finally, comunication and keeping a good history of conversations, decisions, and discussions is important so we use a mix of Slack and Twist

      See more
      asyncio logo

      asyncio

      115
      13
      Asynchronous I/O, event loop, coroutines and tasks
      115
      13
      PROS OF ASYNCIO
      • 4
        Cooperative Multitasking
      • 4
        I/O Wait
      • 3
        Network Call
      • 2
        I/O bound computation
      CONS OF ASYNCIO
        Be the first to leave a con

        related asyncio posts

        I love Python and JavaScript . You can do the same JavaScript async operations in Python by using asyncio. This is particularly useful when you need to do socket programming in Python. With streaming sockets, data can be sent or received at any time. In case your Python program is in the middle of executing some code, other threads can handle the new socket data. Libraries like asyncio implement multiple threads, so your Python program can work in an asynchronous fashion. PubNub makes bi-directional data streaming between devices even easier.

        See more
        Jelena Dedovic

        Investigating Tortoise ORM and GINO ORM...

        I need to introduce some async ORM with the current stack: Tornado with asyncio loop, AIOHTTP, with PostgreSQL and MSSQL. This project revolves heavily around realtime and due to the realtime requirements, blocking during database access is not acceptable.

        Considering that these ORMs are both young projects, I wondered if anybody had some experience with similar stack and these async ORMs?

        See more
        Tornado logo

        Tornado

        446
        167
        A Python web framework and asynchronous networking library, originally developed at FriendFeed
        446
        167
        PROS OF TORNADO
        • 37
          Open source
        • 31
          So fast
        • 27
          Great for microservices architecture
        • 20
          Websockets
        • 17
          Simple
        • 14
          Asynchronous
        • 11
          Python
        • 7
          Lightweight
        • 3
          Handles well persistent connexions
        CONS OF TORNADO
        • 2
          Event loop is complicated

        related Tornado posts

        Dmitry Mukhin

        The 350M API requests we handle daily include many processing tasks such as image enhancements, resizing, filtering, face recognition, and GIF to video conversions.

        Tornado is the one we currently use and aiohttp is the one we intend to implement in production in the near future. Both tools support handling huge amounts of requests but aiohttp is preferable as it uses asyncio which is Python-native. Since Python is in the heart of our service, we initially used PIL followed by Pillow. We kind of still do. When we figured resizing was the most taxing processing operation, Alex, our engineer, created the fork named Pillow-SIMD and implemented a good number of optimizations into it to make it 15 times faster than ImageMagick

        Thanks to the optimizations, Uploadcare now needs six times fewer servers to process images. Here, by servers I also mean separate Amazon EC2 instances handling processing and the first layer of caching. The processing instances are also paired with AWS Elastic Load Balancing (ELB) which helps ingest files to the CDN.

        See more

        Around the time of their Series A, Pinterest’s stack included Python and Django, with Tornado and Node.js as web servers. Memcached / Membase and Redis handled caching, with RabbitMQ handling queueing. Nginx, HAproxy and Varnish managed static-delivery and load-balancing, with persistent data storage handled by MySQL.

        See more
        Flask logo

        Flask

        19.2K
        60
        A microframework for Python based on Werkzeug, Jinja 2 and good intentions
        19.2K
        60
        PROS OF FLASK
        • 10
          For it flexibility
        • 9
          Flexibilty and easy to use
        • 7
          User friendly
        • 6
          Secured
        • 5
          Unopinionated
        • 2
          Secure
        • 2
          Customizable
        • 1
          Simple to use
        • 1
          Powerful
        • 1
          Rapid development
        • 1
          Flask
        • 1
          Easy to get started
        • 1
          Easy to develop and maintain applications
        • 1
          Easy to setup and get it going
        • 1
          Easy to use
        • 1
          Documentation
        • 1
          Beautiful code
        • 1
          Orm
        • 1
          Not JS
        • 1
          Perfect for small to large projects with superb docs.
        • 1
          Easy to integrate
        • 1
          Speed
        • 1
          Get started quickly
        • 1
          Python
        • 1
          Minimal
        • 1
          Lightweight
        • 0
          Flexibilty
        • 0
          Well designed
        • 0
          Productive
        • 0
          Awesome
        • 0
          Open source
        • 0
          Expressive
        • 0
          Love it
        CONS OF FLASK
        • 10
          Not JS
        • 7
          Context
        • 5
          Not fast
        • 1
          Don't has many module as in spring

        related Flask posts

        James Man
        Software Engineer at Pinterest · | 47 upvotes · 3M 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.

        See more

        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?

        See more
        JavaScript logo

        JavaScript

        366.4K
        8.1K
        Lightweight, interpreted, object-oriented language with first-class functions
        366.4K
        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
          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
          Expansive community
        • 9
          Everyone use it
        • 9
          Can be used in backend, frontend and DB
        • 9
          Easy
        • 8
          Easy to hire developers
        • 8
          No need to use PHP
        • 8
          For the good parts
        • 8
          Can be used both as frontend and backend as well
        • 8
          Powerful
        • 8
          Most Popular Language in the World
        • 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
        • 7
          Evolution of C
        • 6
          Easy to make something
        • 6
          It let's me use Babel & Typescript
        • 6
          Client side JS uses the visitors CPU to save Server Res
        • 6
          Can be used on frontend/backend/Mobile/create PRO Ui
        • 6
          1.6K Can be used on frontend/backend
        • 5
          Client processing
        • 5
          What to add
        • 5
          Stockholm Syndrome
        • 5
          Function expressions are useful for callbacks
        • 5
          Scope manipulation
        • 5
          Everywhere
        • 5
          Promise relationship
        • 5
          Clojurescript
        • 4
          Because it is so simple and lightweight
        • 4
          Only Programming language on browser
        • 1
          Not the best
        • 1
          Hard to learn
        • 1
          Test
        • 1
          Easy to learn
        • 1
          Subskill #4
        • 1
          Easy to learn and test
        • 1
          Love it
        • 1
          Test2
        • 1
          Easy to understand
        • 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 · 13.2M 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

        247.7K
        6.9K
        A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
        247.7K
        6.9K
        PROS OF PYTHON
        • 1.2K
          Great libraries
        • 964
          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
        • 51
          Easy to learn
        • 46
          Scientific computing
        • 35
          Great documentation
        • 29
          Productivity
        • 28
          Easy to read
        • 28
          Matlab alternative
        • 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
          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
          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
          Rapid Prototyping
        • 6
          Readability counts
        • 6
          Now is better than never
        • 6
          Great for tooling
        • 6
          Flat is better than nested
        • 6
          Although practicality beats purity
        • 6
          I love snakes
        • 6
          High Documented language
        • 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
          Easy to setup and run smooth
        • 4
          Easy to learn and use
        • 4
          Plotting
        • 4
          Beautiful is better than ugly
        • 4
          Multiple Inheritence
        • 4
          Socially engaged community
        • 4
          Complex is better than complicated
        • 4
          CG industry needs
        • 4
          Simple and easy to learn
        • 3
          It is Very easy , simple and will you be love programmi
        • 3
          Flexible and easy
        • 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
          List comprehensions
        • 3
          No cruft
        • 3
          Generators
        • 3
          Import this
        • 3
          Powerful language for AI
        • 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
          Batteries included
        • 2
          Good for hacking
        • 2
          Securit
        • 1
          Procedural programming
        • 1
          Best friend for NLP
        • 1
          Slow
        • 1
          Automation friendly
        • 1
          Sexy af
        • 0
          Ni
        • 0
          Keep it simple
        • 0
          Powerful
        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 · 13.2M 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 · 4.4M 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

        191K
        8.5K
        A platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
        191K
        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
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          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

        151.2K
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        5th major revision of the core language of the World Wide Web
        151.2K
        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
          Semantical
        • 4
          Websockets
        • 3
          Audio element
        • 3
          Content focused
        • 3
          Modern
        • 3
          Better
        • 2
          Compatible
        • 2
          Portability
        • 2
          Semantic Header and Footer, Geolocation, New Doctype
        • 2
          Very easy to learning to HTML
        CONS OF HTML5
        • 2
          Easy to forget the tags when you're a begginner
        • 1
          Long and winding code

        related HTML5 posts

        Jan Vlnas
        Senior Software Engineer at Mews · | 26 upvotes · 460K views
        Shared insights
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        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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        Jonathan Pugh
        Software Engineer / Project Manager / Technical Architect · | 25 upvotes · 3.1M 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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