Alternatives to QuickJS logo

Alternatives to QuickJS

Lua, Node.js, Hermes, Git, and GitHub are the most popular alternatives and competitors to QuickJS.
4
12
+ 1
0

What is QuickJS and what are its top alternatives?

QuickJS is a lightweight, embeddable JavaScript engine written by Fabrice Bellard, the creator of FFmpeg and QEMU. It aims to provide a small footprint without sacrificing performance, making it suitable for resource-constrained environments. QuickJS supports the full ECMAScript 2020 standard, includes a small and simple C API, and can easily be embedded in applications. However, the engine lacks certain features found in larger JavaScript engines and may not be as widely supported as other alternatives.

  1. V8: V8 is Google's open-source high-performance JavaScript and WebAssembly engine used in the Chrome browser. Key features include fast execution speed, support for modern JavaScript features, and a powerful optimizing compiler. Pros: excellent performance, extensive tooling support. Cons: can be memory-intensive.
  2. SpiderMonkey: SpiderMonkey is the JavaScript engine used in Mozilla Firefox. It supports many web standards and has strong compatibility with the JavaScript ecosystem. Pros: well-established, actively developed. Cons: might not be as fast as some other engines.
  3. JavaScriptCore: JavaScriptCore is the open-source JavaScript engine used in the Safari browser and WebKit project. It boasts high performance, a powerful optimizing compiler, and good compatibility with modern web standards. Pros: optimized for Apple platforms, actively maintained. Cons: limited cross-platform support.
  4. Espruino: Espruino is an open-source JavaScript interpreter designed for microcontrollers and embedded systems. It has a small memory footprint, offers good compatibility with existing JavaScript code, and supports a variety of hardware platforms. Pros: optimized for embedded systems, easy to use. Cons: may lack some of the features found in larger engines.
  5. Duktape: Duktape is a lightweight JavaScript engine for embedded systems with a focus on minimal footprint and ease of integration. It supports the ECMAScript 5.1 standard, includes a small C API, and can run on various platforms. Pros: small footprint, easy to embed. Cons: may not support all ECMAScript features.
  6. JerryScript: JerryScript is an ultra-lightweight JavaScript engine for the Internet of Things (IoT) devices. It is optimized for low memory usage, has a small code size, and supports a subset of the ECMAScript standard. Pros: designed for resource-constrained devices, efficient memory usage. Cons: limited feature set compared to full JavaScript engines.
  7. MuJS: MuJS is a lightweight ECMAScript 5.1-compatible JavaScript interpreter designed for embedding in applications. It has a small memory footprint, a simple C API, and is easy to integrate into projects. Pros: lightweight, fast startup time. Cons: limited features compared to more comprehensive engines.
  8. ChakraCore: ChakraCore is the open-source JavaScript engine used in Microsoft Edge. It offers high performance, support for modern JavaScript features, and can be used as a standalone interpreter or embedded in applications. Pros: actively maintained, good performance. Cons: limited cross-platform support.
  9. MuJS: MuJS is a lightweight ECMAScript 5.1-compatible JavaScript interpreter designed for embedding in applications. It has a small memory footprint, a simple C API, and is easy to integrate into projects. Pros: lightweight, fast startup time. Cons: limited features compared to more comprehensive engines.
  10. Hera: Hermes is an open-source JavaScript engine optimized for running React Native applications on mobile devices. It focuses on reducing memory usage and improving startup time, making it ideal for resource-constrained environments. Pros: optimized for mobile platforms, fast startup time. Cons: specialized for React Native applications.

Top Alternatives to QuickJS

  • Lua
    Lua

    Lua combines simple procedural syntax with powerful data description constructs based on associative arrays and extensible semantics. Lua is dynamically typed, runs by interpreting bytecode for a register-based virtual machine, and has automatic memory management with incremental garbage collection, making it ideal for configuration, scripting, and rapid prototyping. ...

  • 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. ...

  • Hermes
    Hermes

    It is a JavaScript engine optimized for fast start up of React Native apps on Android. It features ahead-of-time static optimization and compact bytecode. ...

  • Git
    Git

    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. ...

  • GitHub
    GitHub

    GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together. ...

  • Visual Studio Code
    Visual Studio Code

    Build and debug modern web and cloud applications. Code is free and available on your favorite platform - Linux, Mac OSX, and Windows. ...

  • Docker
    Docker

    The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere ...

  • npm
    npm

    npm is the command-line interface to the npm ecosystem. It is battle-tested, surprisingly flexible, and used by hundreds of thousands of JavaScript developers every day. ...

QuickJS alternatives & related posts

Lua logo

Lua

2.3K
180
Powerful, fast, lightweight, embeddable scripting language
2.3K
180
PROS OF LUA
  • 41
    Fast learning curve
  • 26
    Very easy to embed in C programs
  • 26
    Efficient memory usage
  • 20
    Open source
  • 19
    Good for game scripting
  • 9
    Pretty simple to learn
  • 8
    Quick to code
  • 8
    Simple Language
  • 7
    Syntax is amazing
  • 7
    Supported in most game engines
  • 6
    D
  • 2
    Coroutines
  • 1
    Can be used for a wide variety of development
CONS OF LUA
  • 4
    Nooby
  • 2
    Not widespread
  • 1
    D
  • 0
    Python

related Lua posts

Shared insights
on
LuaLuaPythonPythonJavaScriptJavaScriptC++C++

I want to learn a coding language so that I can get a job right out of high school I'm currently 15 and a half. What should I learn and where, and where should I look for jobs with little to no experience in coding jobs? From what I've seen my top 4 coding languages to learn are C++, JavaScript, Python, and Lua.

See more
Rogério R. Alcântara

For a Visual Studio Code/Atom developer that works mostly with Node.js/TypeScript/Ruby/Go and wants to get rid of graphic-text-editors-IDE-like at once, which one is worthy of investing time to pick up?

I'm a total n00b on the subject, but I've read good things about Neovim's Lua support, and I wonder what would be the VIM response/approach for it?

See more
Node.js logo

Node.js

189.7K
8.5K
A platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
189.7K
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

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
Hermes logo

Hermes

23
0
An open source and lightweight JavaScript engine (by Facebook)
23
0
PROS OF HERMES
    Be the first to leave a pro
    CONS OF HERMES
      Be the first to leave a con

      related Hermes posts

      Git logo

      Git

      298.9K
      6.6K
      Fast, scalable, distributed revision control system
      298.9K
      6.6K
      PROS OF GIT
      • 1.4K
        Distributed version control system
      • 1.1K
        Efficient branching and merging
      • 959
        Fast
      • 845
        Open source
      • 726
        Better than svn
      • 368
        Great command-line application
      • 306
        Simple
      • 291
        Free
      • 232
        Easy to use
      • 222
        Does not require server
      • 28
        Distributed
      • 23
        Small & Fast
      • 18
        Feature based workflow
      • 15
        Staging Area
      • 13
        Most wide-spread VSC
      • 11
        Disposable Experimentation
      • 11
        Role-based codelines
      • 7
        Frictionless Context Switching
      • 6
        Data Assurance
      • 5
        Efficient
      • 4
        Just awesome
      • 3
        Easy branching and merging
      • 3
        Github integration
      • 2
        Compatible
      • 2
        Possible to lose history and commits
      • 2
        Flexible
      • 1
        Team Integration
      • 1
        Easy
      • 1
        Light
      • 1
        Fast, scalable, distributed revision control system
      • 1
        Rebase supported natively; reflog; access to plumbing
      • 1
        Flexible, easy, Safe, and fast
      • 1
        CLI is great, but the GUI tools are awesome
      • 1
        It's what you do
      • 0
        Phinx
      CONS OF GIT
      • 16
        Hard to learn
      • 11
        Inconsistent command line interface
      • 9
        Easy to lose uncommitted work
      • 8
        Worst documentation ever possibly made
      • 5
        Awful merge handling
      • 3
        Unexistent preventive security flows
      • 3
        Rebase hell
      • 2
        Ironically even die-hard supporters screw up badly
      • 2
        When --force is disabled, cannot rebase
      • 1
        Doesn't scale for big data

      related Git posts

      Simon Reymann
      Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.9M views

      Our whole DevOps stack consists of the following tools:

      • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
      • Respectively Git as revision control system
      • SourceTree as Git GUI
      • Visual Studio Code as IDE
      • CircleCI for continuous integration (automatize development process)
      • Prettier / TSLint / ESLint as code linter
      • SonarQube as quality gate
      • Docker as container management (incl. Docker Compose for multi-container application management)
      • VirtualBox for operating system simulation tests
      • Kubernetes as cluster management for docker containers
      • Heroku for deploying in test environments
      • nginx as web server (preferably used as facade server in production environment)
      • SSLMate (using OpenSSL) for certificate management
      • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
      • PostgreSQL as preferred database system
      • Redis as preferred in-memory database/store (great for caching)

      The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

      • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
      • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
      • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
      • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
      • Scalability: All-in-one framework for distributed systems.
      • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
      See more
      Tymoteusz Paul
      Devops guy at X20X Development LTD · | 23 upvotes · 10.1M views

      Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

      It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

      I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

      We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

      If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

      The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

      Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

      See more
      GitHub logo

      GitHub

      287.9K
      10.3K
      Powerful collaboration, review, and code management for open source and private development projects
      287.9K
      10.3K
      PROS OF GITHUB
      • 1.8K
        Open source friendly
      • 1.5K
        Easy source control
      • 1.3K
        Nice UI
      • 1.1K
        Great for team collaboration
      • 868
        Easy setup
      • 504
        Issue tracker
      • 487
        Great community
      • 483
        Remote team collaboration
      • 449
        Great way to share
      • 442
        Pull request and features planning
      • 147
        Just works
      • 132
        Integrated in many tools
      • 122
        Free Public Repos
      • 116
        Github Gists
      • 113
        Github pages
      • 83
        Easy to find repos
      • 62
        Open source
      • 60
        Easy to find projects
      • 60
        It's free
      • 56
        Network effect
      • 49
        Extensive API
      • 43
        Organizations
      • 42
        Branching
      • 34
        Developer Profiles
      • 32
        Git Powered Wikis
      • 30
        Great for collaboration
      • 24
        It's fun
      • 23
        Clean interface and good integrations
      • 22
        Community SDK involvement
      • 20
        Learn from others source code
      • 16
        Because: Git
      • 14
        It integrates directly with Azure
      • 10
        Standard in Open Source collab
      • 10
        Newsfeed
      • 8
        Fast
      • 8
        Beautiful user experience
      • 8
        It integrates directly with Hipchat
      • 7
        Easy to discover new code libraries
      • 6
        It's awesome
      • 6
        Smooth integration
      • 6
        Cloud SCM
      • 6
        Nice API
      • 6
        Graphs
      • 6
        Integrations
      • 5
        Hands down best online Git service available
      • 5
        Reliable
      • 5
        Quick Onboarding
      • 5
        CI Integration
      • 5
        Remarkable uptime
      • 4
        Security options
      • 4
        Loved by developers
      • 4
        Uses GIT
      • 4
        Free HTML hosting
      • 4
        Easy to use and collaborate with others
      • 4
        Version Control
      • 4
        Simple but powerful
      • 4
        Unlimited Public Repos at no cost
      • 3
        Nice to use
      • 3
        IAM
      • 3
        Ci
      • 3
        Easy deployment via SSH
      • 2
        Free private repos
      • 2
        Good tools support
      • 2
        All in one development service
      • 2
        Never dethroned
      • 2
        Easy source control and everything is backed up
      • 2
        Issues tracker
      • 2
        Self Hosted
      • 2
        IAM integration
      • 2
        Very Easy to Use
      • 2
        Easy to use
      • 2
        Leads the copycats
      • 2
        Free HTML hostings
      • 2
        Easy and efficient maintainance of the projects
      • 2
        Beautiful
      • 1
        Dasf
      • 1
        Profound
      CONS OF GITHUB
      • 55
        Owned by micrcosoft
      • 38
        Expensive for lone developers that want private repos
      • 15
        Relatively slow product/feature release cadence
      • 10
        API scoping could be better
      • 9
        Only 3 collaborators for private repos
      • 4
        Limited featureset for issue management
      • 3
        Does not have a graph for showing history like git lens
      • 2
        GitHub Packages does not support SNAPSHOT versions
      • 1
        No multilingual interface
      • 1
        Takes a long time to commit
      • 1
        Expensive

      related GitHub posts

      Johnny Bell

      I was building a personal project that I needed to store items in a real time database. I am more comfortable with my Frontend skills than my backend so I didn't want to spend time building out anything in Ruby or Go.

      I stumbled on Firebase by #Google, and it was really all I needed. It had realtime data, an area for storing file uploads and best of all for the amount of data I needed it was free!

      I built out my application using tools I was familiar with, React for the framework, Redux.js to manage my state across components, and styled-components for the styling.

      Now as this was a project I was just working on in my free time for fun I didn't really want to pay for hosting. I did some research and I found Netlify. I had actually seen them at #ReactRally the year before and deployed a Gatsby site to Netlify already.

      Netlify was very easy to setup and link to my GitHub account you select a repo and pretty much with very little configuration you have a live site that will deploy every time you push to master.

      With the selection of these tools I was able to build out my application, connect it to a realtime database, and deploy to a live environment all with $0 spent.

      If you're looking to build out a small app I suggest giving these tools a go as you can get your idea out into the real world for absolutely no cost.

      See more

      Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

      Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

      Check Out My Architecture: CLICK ME

      Check out the GitHub repo attached

      See more
      Visual Studio Code logo

      Visual Studio Code

      180.9K
      2.3K
      Build and debug modern web and cloud applications, by Microsoft
      180.9K
      2.3K
      PROS OF VISUAL STUDIO CODE
      • 340
        Powerful multilanguage IDE
      • 308
        Fast
      • 193
        Front-end develop out of the box
      • 158
        Support TypeScript IntelliSense
      • 142
        Very basic but free
      • 126
        Git integration
      • 106
        Intellisense
      • 78
        Faster than Atom
      • 53
        Better ui, easy plugins, and nice git integration
      • 45
        Great Refactoring Tools
      • 44
        Good Plugins
      • 42
        Terminal
      • 38
        Superb markdown support
      • 36
        Open Source
      • 35
        Extensions
      • 26
        Awesome UI
      • 26
        Large & up-to-date extension community
      • 24
        Powerful and fast
      • 22
        Portable
      • 18
        Best code editor
      • 18
        Best editor
      • 17
        Easy to get started with
      • 15
        Lots of extensions
      • 15
        Good for begginers
      • 15
        Crossplatform
      • 15
        Built on Electron
      • 14
        Extensions for everything
      • 14
        Open, cross-platform, fast, monthly updates
      • 14
        All Languages Support
      • 13
        Easy to use and learn
      • 12
        "fast, stable & easy to use"
      • 12
        Extensible
      • 11
        Ui design is great
      • 11
        Totally customizable
      • 11
        Git out of the box
      • 11
        Useful for begginer
      • 11
        Faster edit for slow computer
      • 10
        SSH support
      • 10
        Great community
      • 10
        Fast Startup
      • 9
        Works With Almost EveryThing You Need
      • 9
        Great language support
      • 9
        Powerful Debugger
      • 9
        It has terminal and there are lots of shortcuts in it
      • 8
        Can compile and run .py files
      • 8
        Python extension is fast
      • 7
        Features rich
      • 7
        Great document formater
      • 6
        He is not Michael
      • 6
        Extension Echosystem
      • 6
        She is not Rachel
      • 6
        Awesome multi cursor support
      • 5
        VSCode.pro Course makes it easy to learn
      • 5
        Language server client
      • 5
        SFTP Workspace
      • 5
        Very proffesional
      • 5
        Easy azure
      • 4
        Has better support and more extentions for debugging
      • 4
        Supports lots of operating systems
      • 4
        Excellent as git difftool and mergetool
      • 4
        Virtualenv integration
      • 3
        Better autocompletes than Atom
      • 3
        Has more than enough languages for any developer
      • 3
        'batteries included'
      • 3
        More tools to integrate with vs
      • 3
        Emmet preinstalled
      • 2
        VS Code Server: Browser version of VS Code
      • 2
        CMake support with autocomplete
      • 2
        Microsoft
      • 2
        Customizable
      • 2
        Light
      • 2
        Big extension marketplace
      • 2
        Fast and ruby is built right in
      • 1
        File:///C:/Users/ydemi/Downloads/yuksel_demirkaya_webpa
      CONS OF VISUAL STUDIO CODE
      • 46
        Slow startup
      • 29
        Resource hog at times
      • 20
        Poor refactoring
      • 13
        Poor UI Designer
      • 11
        Weak Ui design tools
      • 10
        Poor autocomplete
      • 8
        Super Slow
      • 8
        Huge cpu usage with few installed extension
      • 8
        Microsoft sends telemetry data
      • 7
        Poor in PHP
      • 6
        It's MicroSoft
      • 3
        Poor in Python
      • 3
        No Built in Browser Preview
      • 3
        No color Intergrator
      • 3
        Very basic for java development and buggy at times
      • 3
        No built in live Preview
      • 3
        Electron
      • 2
        Bad Plugin Architecture
      • 2
        Powered by Electron
      • 1
        Terminal does not identify path vars sometimes
      • 1
        Slow C++ Language Server

      related Visual Studio Code posts

      Yshay Yaacobi

      Our first experience with .NET core was when we developed our OSS feature management platform - Tweek (https://github.com/soluto/tweek). We wanted to create a solution that is able to run anywhere (super important for OSS), has excellent performance characteristics and can fit in a multi-container architecture. We decided to implement our rule engine processor in F# , our main service was implemented in C# and other components were built using JavaScript / TypeScript and Go.

      Visual Studio Code worked really well for us as well, it worked well with all our polyglot services and the .Net core integration had great cross-platform developer experience (to be fair, F# was a bit trickier) - actually, each of our team members used a different OS (Ubuntu, macos, windows). Our production deployment ran for a time on Docker Swarm until we've decided to adopt Kubernetes with almost seamless migration process.

      After our positive experience of running .Net core workloads in containers and developing Tweek's .Net services on non-windows machines, C# had gained back some of its popularity (originally lost to Node.js), and other teams have been using it for developing microservices, k8s sidecars (like https://github.com/Soluto/airbag), cli tools, serverless functions and other projects...

      See more
      Simon Reymann
      Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.9M views

      Our whole DevOps stack consists of the following tools:

      • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
      • Respectively Git as revision control system
      • SourceTree as Git GUI
      • Visual Studio Code as IDE
      • CircleCI for continuous integration (automatize development process)
      • Prettier / TSLint / ESLint as code linter
      • SonarQube as quality gate
      • Docker as container management (incl. Docker Compose for multi-container application management)
      • VirtualBox for operating system simulation tests
      • Kubernetes as cluster management for docker containers
      • Heroku for deploying in test environments
      • nginx as web server (preferably used as facade server in production environment)
      • SSLMate (using OpenSSL) for certificate management
      • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
      • PostgreSQL as preferred database system
      • Redis as preferred in-memory database/store (great for caching)

      The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

      • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
      • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
      • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
      • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
      • Scalability: All-in-one framework for distributed systems.
      • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
      See more
      Docker logo

      Docker

      175.6K
      3.9K
      Enterprise Container Platform for High-Velocity Innovation.
      175.6K
      3.9K
      PROS OF DOCKER
      • 823
        Rapid integration and build up
      • 692
        Isolation
      • 521
        Open source
      • 505
        Testa­bil­i­ty and re­pro­ducibil­i­ty
      • 460
        Lightweight
      • 218
        Standardization
      • 185
        Scalable
      • 106
        Upgrading / down­grad­ing / ap­pli­ca­tion versions
      • 88
        Security
      • 85
        Private paas environments
      • 34
        Portability
      • 26
        Limit resource usage
      • 17
        Game changer
      • 16
        I love the way docker has changed virtualization
      • 14
        Fast
      • 12
        Concurrency
      • 8
        Docker's Compose tools
      • 6
        Easy setup
      • 6
        Fast and Portable
      • 5
        Because its fun
      • 4
        Makes shipping to production very simple
      • 3
        Highly useful
      • 3
        It's dope
      • 2
        Package the environment with the application
      • 2
        Super
      • 2
        Open source and highly configurable
      • 2
        Simplicity, isolation, resource effective
      • 2
        MacOS support FAKE
      • 2
        Its cool
      • 2
        Does a nice job hogging memory
      • 2
        Docker hub for the FTW
      • 2
        HIgh Throughput
      • 2
        Very easy to setup integrate and build
      • 0
        Asdfd
      CONS OF DOCKER
      • 8
        New versions == broken features
      • 6
        Unreliable networking
      • 6
        Documentation not always in sync
      • 4
        Moves quickly
      • 3
        Not Secure

      related Docker posts

      Simon Reymann
      Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.9M views

      Our whole DevOps stack consists of the following tools:

      • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
      • Respectively Git as revision control system
      • SourceTree as Git GUI
      • Visual Studio Code as IDE
      • CircleCI for continuous integration (automatize development process)
      • Prettier / TSLint / ESLint as code linter
      • SonarQube as quality gate
      • Docker as container management (incl. Docker Compose for multi-container application management)
      • VirtualBox for operating system simulation tests
      • Kubernetes as cluster management for docker containers
      • Heroku for deploying in test environments
      • nginx as web server (preferably used as facade server in production environment)
      • SSLMate (using OpenSSL) for certificate management
      • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
      • PostgreSQL as preferred database system
      • Redis as preferred in-memory database/store (great for caching)

      The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

      • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
      • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
      • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
      • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
      • Scalability: All-in-one framework for distributed systems.
      • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
      See more
      Tymoteusz Paul
      Devops guy at X20X Development LTD · | 23 upvotes · 10.1M views

      Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

      It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

      I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

      We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

      If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

      The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

      Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

      See more
      npm logo

      npm

      125K
      1.6K
      The package manager for JavaScript.
      125K
      1.6K
      PROS OF NPM
      • 647
        Best package management system for javascript
      • 382
        Open-source
      • 327
        Great community
      • 148
        More packages than rubygems, pypi, or packagist
      • 112
        Nice people matter
      • 6
        As fast as yarn but really free of facebook
      • 6
        Audit feature
      • 4
        Good following
      • 1
        Super fast
      • 1
        Stability
      CONS OF NPM
      • 5
        Problems with lockfiles
      • 5
        Bad at package versioning and being deterministic
      • 3
        Node-gyp takes forever
      • 1
        Super slow

      related npm posts

      Simon Reymann
      Senior Fullstack Developer at QUANTUSflow Software GmbH · | 27 upvotes · 5.3M views

      Our whole Node.js backend stack consists of the following tools:

      • Lerna as a tool for multi package and multi repository management
      • npm as package manager
      • NestJS as Node.js framework
      • TypeScript as programming language
      • ExpressJS as web server
      • Swagger UI for visualizing and interacting with the API’s resources
      • Postman as a tool for API development
      • TypeORM as object relational mapping layer
      • JSON Web Token for access token management

      The main reason we have chosen Node.js over PHP is related to the following artifacts:

      • Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
      • Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
      • A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
      • Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.
      See more
      Johnny Bell

      So when starting a new project you generally have your go to tools to get your site up and running locally, and some scripts to build out a production version of your site. Create React App is great for that, however for my projects I feel as though there is to much bloat in Create React App and if I use it, then I'm tied to React, which I love but if I want to switch it up to Vue or something I want that flexibility.

      So to start everything up and running I clone my personal Webpack boilerplate - This is still in Webpack 3, and does need some updating but gets the job done for now. So given the name of the repo you may have guessed that yes I am using Webpack as my bundler I use Webpack because it is so powerful, and even though it has a steep learning curve once you get it, its amazing.

      The next thing I do is make sure my machine has Node.js configured and the right version installed then run Yarn. I decided to use Yarn because when I was building out this project npm had some shortcomings such as no .lock file. I could probably move from Yarn to npm but I don't really see any point really.

      I use Babel to transpile all of my #ES6 to #ES5 so the browser can read it, I love Babel and to be honest haven't looked up any other transpilers because Babel is amazing.

      Finally when developing I have Prettier setup to make sure all my code is clean and uniform across all my JS files, and ESLint to make sure I catch any errors or code that could be optimized.

      I'm really happy with this stack for my local env setup, and I'll probably stick with it for a while.

      See more