Dart vs Go vs JavaScript

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Dart
Dart

788
942
+ 1
191
Go
Go

7.7K
6.2K
+ 1
2.7K
JavaScript
JavaScript

78.7K
64K
+ 1
7.4K
- No public GitHub repository available -
- No public GitHub repository available -

What is Dart?

Dart is a cohesive, scalable platform for building apps that run on the web (where you can use Polymer) or on servers (such as with Google Cloud Platform). Use the Dart language, libraries, and tools to write anything from simple scripts to full-featured apps.

What is Go?

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

What is 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.
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Why do developers choose JavaScript?

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What are some alternatives to Dart, Go, and JavaScript?
TypeScript
TypeScript is a language for application-scale JavaScript development. It's a typed superset of JavaScript that compiles to plain JavaScript.
Kotlin
Kotlin is a statically typed programming language for the JVM, Android and the browser, 100% interoperable with Java
PHP
Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.
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.
Java
Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!
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Decisions about Dart, Go, and JavaScript
Nick Parsons
Nick Parsons
Director of Developer Marketing at Stream · | 34 upvotes · 674.5K views
atStreamStream
Stream
Stream
Go
Go
JavaScript
JavaScript
ES6
ES6
Node.js
Node.js
Babel
Babel
Yarn
Yarn
Python
Python
#FrameworksFullStack
#Languages

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

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Jake Stein
Jake Stein
CEO at Stitch · | 13 upvotes · 119.5K views
atStitchStitch
Go
Go
Amazon RDS
Amazon RDS
Amazon S3
Amazon S3
Amazon Redshift
Amazon Redshift
Amazon EC2
Amazon EC2
AWS OpsWorks
AWS OpsWorks
Kubernetes
Kubernetes
Python
Python
JavaScript
JavaScript
Clojure
Clojure

Stitch is run entirely on AWS. All of our transactional databases are run with Amazon RDS, and we rely on Amazon S3 for data persistence in various stages of our pipeline. Our product integrates with Amazon Redshift as a data destination, and we also use Redshift as an internal data warehouse (powered by Stitch, of course).

The majority of our services run on stateless Amazon EC2 instances that are managed by AWS OpsWorks. We recently introduced Kubernetes into our infrastructure to run the scheduled jobs that execute Singer code to extract data from various sources. Although we tend to be wary of shiny new toys, Kubernetes has proven to be a good fit for this problem, and its stability, strong community and helpful tooling have made it easy for us to incorporate into our operations.

While we continue to be happy with Clojure for our internal services, we felt that its relatively narrow adoption could impede Singer's growth. We chose Python both because it is well suited to the task, and it seems to have reached critical mass among data engineers. All that being said, the Singer spec is language agnostic, and integrations and libraries have been developed in JavaScript, Go, and Clojure.

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Yshay Yaacobi
Yshay Yaacobi
Software Engineer · | 30 upvotes · 821.9K views
atSolutoSoluto
Docker Swarm
Docker Swarm
.NET
.NET
F#
F#
C#
C#
JavaScript
JavaScript
TypeScript
TypeScript
Go
Go
Visual Studio Code
Visual Studio Code
Kubernetes
Kubernetes

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...

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Sparker73
Sparker73
Frontend Developer · | 8 upvotes · 23.2K views
Node.js
Node.js
JavaScript
JavaScript
.NET
.NET
PHP
PHP

Node.js is my choice because it uses very few resources to run and it is capable to handle tons of connections simultaneously. Most developers already know JavaScript, the evolution of ECMAScript is immediately reflected to Node.js and all you have to do is update your Server's Node.js version without time and effort. Thousands of improvements that makes it very powerful especially in asynchronous programming. The web is full of courses, dev communities, free sample code, plunkers and many knowledge sources on Node.js that facilitates the learning curve. What else we can ask from a legendary language that is still evolving? I am learning Node.js by developing a simple REST WebAPI and using it as a playground to test situations in which the main objective is to challenge Node.js and compare results and performance with .NET implementations and certain well known fast PHP implementations. Until now the results are astonishing. Summarizing: Node.js for backend is so far (in my opinion) the most recommended solution to get positive achievements in size, speed, power, concurrency, scalability, deployment and running costs.

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Antonio Sanchez
Antonio Sanchez
CEO at Kokoen GmbH · | 14 upvotes · 259.3K views
atKokoen GmbHKokoen GmbH
PHP
PHP
Laravel
Laravel
MySQL
MySQL
Go
Go
MongoDB
MongoDB
JavaScript
JavaScript
Node.js
Node.js
ExpressJS
ExpressJS

Back at the start of 2017, we decided to create a web-based tool for the SEO OnPage analysis of our clients' websites. We had over 2.000 websites to analyze, so we had to perform thousands of requests to get every single page from those websites, process the information and save the big amounts of data somewhere.

Very soon we realized that the initial chosen script language and database, PHP, Laravel and MySQL, was not going to be able to cope efficiently with such a task.

By that time, we were doing some experiments for other projects with a language we had recently get to know, Go , so we decided to get a try and code the crawler using it. It was fantastic, we could process much more data with way less CPU power and in less time. By using the concurrency abilites that the language has to offers, we could also do more Http requests in less time.

Unfortunately, I have no comparison numbers to show about the performance differences between Go and PHP since the difference was so clear from the beginning and that we didn't feel the need to do further comparison tests nor document it. We just switched fully to Go.

There was still a problem: despite the big amount of Data we were generating, MySQL was performing very well, but as we were adding more and more features to the software and with those features more and more different type of data to save, it was a nightmare for the database architects to structure everything correctly on the database, so it was clear what we had to do next: switch to a NoSQL database. So we switched to MongoDB, and it was also fantastic: we were expending almost zero time in thinking how to structure the Database and the performance also seemed to be better, but again, I have no comparison numbers to show due to the lack of time.

We also decided to switch the website from PHP and Laravel to JavaScript and Node.js and ExpressJS since working with the JSON Data that we were saving now in the Database would be easier.

As of now, we don't only use the tool intern but we also opened it for everyone to use for free: https://tool-seo.com

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Zach Holman
Zach Holman
at Zach Holman · | 40 upvotes · 435.6K views
React
React
Apollo
Apollo
Rails
Rails
JavaScript
JavaScript

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.

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Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 24 upvotes · 2M views
atUber TechnologiesUber Technologies
Jaeger
Jaeger
Python
Python
Java
Java
Node.js
Node.js
Go
Go
C++
C++
Kubernetes
Kubernetes
JavaScript
JavaScript
Red Hat OpenShift
Red Hat OpenShift
C#
C#
Apache Spark
Apache Spark

How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

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Go
Go
Python
Python
PostgreSQL
PostgreSQL
TypeScript
TypeScript
JavaScript
JavaScript
NATS
NATS
Docker
Docker
Git
Git

Go is a high performance language with simple syntax / semantics. Although it is not as expressive as some other languages, it's still a great language for backend development.

Python is expressive and battery-included, and pre-installed in most linux distros, making it a great language for scripting.

PostgreSQL: Rock-solid RDBMS with NoSQL support.

TypeScript saves you from all nonsense semantics of JavaScript , LOL.

NATS: fast message queue and easy to deploy / maintain.

Docker makes deployment painless.

Git essential tool for collaboration and source management.

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Gustavo Muñoz
Gustavo Muñoz
Web UI Developer at Globant · | 8 upvotes · 258.3K views
Flutter
Flutter
React
React
React Native
React Native
Dart
Dart
Android Studio
Android Studio
Visual Studio Code
Visual Studio Code
JavaScript
JavaScript
#Flare

In my modest opinion, Flutter is the future of mobile development. The framework is as important to mobile as React is to the web. And seeing that React Native does not finish taking off, I am focusing all my efforts on learning Flutter and Dart. The ecosystem is amazing. The community is crazy about Flutter. There are enough resources to learn and enjoy the framework, and the tools developed to work with it are amazing. Android Studio or Visual Studio Code has incredible plugins and Dart is a pretty straight forward and easy-to-learn language, even more, if you came from JavaScript. I admit it. I'm in love with Flutter. When you are not a designer, having a framework focused on design an pretty things is a must. And counting with tools like #flare for animations makes everything easier. It is so amazing that I wish I had a big mobile project right now at work just to use Flutter.

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Helio Junior
Helio Junior
Python
Python
JavaScript
JavaScript
CSS 3
CSS 3
#DataScience
#UXdesign
#NodeJS
#Electron

Python is a excellent tool for #DataScience , but up to now is very poor in #uxdesign . To do some design I'm using JavaScript and #nodejs , #electron stack. The possibility of use CSS 3 to draw interfaces is very awesome and fast. Unfortunatelly Python don't have (yet) a good way to make a #UXdesign .

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John Datserakis
John Datserakis
Go
Go
PHP
PHP
Node.js
Node.js

For the backend of https://www.rsvpkeeper.com I went with Go.

My past few project have been built with Go and I'm really loving it. It was my first statically typed language after many years with PHP and Node.js - and honestly I couldn't be happier to have made the switch.

The biggest thing for me, is that with the forced declaration of types - it's made me feel like I've made a more solid backend. Sometimes with PHP I felt like a stiff breeze could knock the whole thing down. I know that's an exaggeration - but it's kinda how it feels.

Anyways, everyone knows that it almost doesn't even matter what an app is actually made with - what really matters are the design decisions you make a long the way.

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Dan Larsen
Dan Larsen
CTO at FlowStack · | 7 upvotes · 80.6K views
atFlowStack ApSFlowStack ApS
Go
Go
Rust
Rust
C
C
C++
C++

At FlowStack we write most of our backend in Go. Go is a well thought out language, with all the right compromises for speedy development of speedy and robust software. It's tooling is part of what makes Go such a great language. Testing and benchmarking is built into the language, in a way that makes it easy to ensure correctness and high performance. In most cases you can get more performance out of Rust and C or C++, but getting everything right is more cumbersome.

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Kamil Kowalski
Kamil Kowalski
Engineering Manager at Fresha · | 26 upvotes · 197.1K views
atFresha EngineeringFresha Engineering
Selenium
Selenium
Java
Java
Ruby
Ruby
Elixir
Elixir
JavaScript
JavaScript
Cypress
Cypress

When you think about test automation, it’s crucial to make it everyone’s responsibility (not just QA Engineers'). We started with Selenium and Java, but with our platform revolving around Ruby, Elixir and JavaScript, QA Engineers were left alone to automate tests. Cypress was the answer, as we could switch to JS and simply involve more people from day one. There's a downside too, as it meant testing on Chrome only, but that was "good enough" for us + if really needed we can always cover some specific cases in a different way.

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Ruby
Ruby
Rails
Rails
React
React
Redux
Redux
Create React App
Create React App
Jest
Jest
react-testing-library
react-testing-library
RSpec
RSpec
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Redis
Redis
React Native
React Native
Next.js
Next.js
Python
Python
Bit
Bit
JavaScript
JavaScript

I'm working as one of the engineering leads in RunaHR. As our platform is a Saas, we thought It'd be good to have an API (We chose Ruby and Rails for this) and a SPA (built with React and Redux ) connected. We started the SPA with Create React App since It's pretty easy to start.

We use Jest as the testing framework and react-testing-library to test React components. In Rails we make tests using RSpec.

Our main database is PostgreSQL, but we also use MongoDB to store some type of data. We started to use Redis  for cache and other time sensitive operations.

We have a couple of extra projects: One is an Employee app built with React Native and the other is an internal back office dashboard built with Next.js for the client and Python in the backend side.

Since we have different frontend apps we have found useful to have Bit to document visual components and utils in JavaScript.

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Jakub Olan
Jakub Olan
DevOps Engineer · | 17 upvotes · 21.7K views
ataraclxaraclx
Java
Java
Python
Python
C++
C++
Node.js
Node.js
Rust
Rust
Kotlin
Kotlin
Go
Go

In our company we have think a lot about languages that we're willing to use, there we have considering Java, Python and C++ . All of there languages are old and well developed at fact but that's not ideology of araclx. We've choose a edge technologies such as Node.js , Rust , Kotlin and Go as our programming languages which is some kind of fun. Node.js is one of biggest trends of 2019, same for Go. We want to grow in our company with growth of languages we have choose, and probably when we would choose Java that would be almost impossible because larger languages move on today's market slower, and cannot have big changes.

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Interest over time
Reviews of Dart, Go, and JavaScript
Review ofGoGo

Go has been a joy to work with. Performance is often 30x of what we used to see with Python. It's a performant and productive programming language: https://getstream.io/blog/switched-python-go/

Review ofJavaScriptJavaScript

excellent!!

How developers use Dart, Go, and JavaScript
Avatar of Andrew Faulkner
Andrew Faulkner uses JavaScriptJavaScript

Almost the entire app was written in Javascript, with JSON-based configuration and data storage. The following components were written and/or configured with Javascript:

  • Most server-side scripts, all unit tests, all build tools, etc. were driven by NodeJS.
  • ExpressJS served as the 'backend' server framework.
  • MongoDB (which stores essential JSON) was the main database.
  • MongooseJS was used as the main ORM for communicating with the database, with KnexJS used for certain edge cases.
  • MochaJS, ChaiJS, and ExpectJS were used for unit testing.
  • Frontend builds were done with Gulp and Webpack.
  • Package management was done primarily with npm - with a few exceptions that required the use of Bower (also configured with JSON).
  • "Templating" was done with Javascript dialect JSX.
  • The frontend was build primarily with ReactJS (as the View) and Redux (as the Controller / Store / frontend model).
  • Configuration was done with json files.

The only notable exceptions were the use of SCSS (augmented by Compass) for styling, Bash for a few basic 'system chores' and CLI utilities required for development of the app (most notably git and heroku's CLI interface), and a bit of custom SQL for locations where the ORM extractions leaked (the app is DB-agnostic, but a bit of SQL was required to fill gaps in the ORMs when interfacing with Postgres).

Avatar of Karma
Karma uses GoGo

The first time I actually started using Go was for software on our devices. So on our hotspots we have some custom software running in the firmware. For the first device, that was actually completely built by our manufacturer. But for the second generation most of the parts are built by us in-house and we needed a way to quickly develop software for the device. But we don't have any C programmers in-house, so we were actually looking for something that basically sits in between the friendliness of Ruby, but the performance and the ability to be deployed on an embedded system which you get with C. That's basically what led us to Go and it's been awesome for that. It works so well and so great. Since it works so great, it pushed us into looking into whether we should start using this for some backend services as well.

Avatar of OutSystems
OutSystems uses JavaScriptJavaScript

Read more on how to extend the OutSystems UI with Javascript here.

OutSystems provides a very simple to use AJAX mechanism. However, developers can also use JavaScript extensively to customize how users interact with their applications, to create client side custom validations and dynamic behaviors, or even to create custom, very specific, AJAX interactions. For example, each application can have an application-wide defined JavaScript file or set of files included in resources. Page-specific JavaScript can also be defined.

Avatar of Gorka Llona
Gorka Llona uses JavaScriptJavaScript

This GNU/GPL licensed Javascript library allows you to draw complex organizational charts that can't be drawn using Google's tool or equivalents. Orgchart structures are specified with JSON and can be generated on-the-fly by server-side scripts and databases. Events can be attached to clicks over the boxes. Multiple options can be defined; look at the repo for examples. This 1300-code-lines software component with contributors from 8 countries (and others for which I have to integrate their works) appears in the first page of Google Search results when searching for "Javascript Organizational Chart Library".

Avatar of Cloudcraft
Cloudcraft uses JavaScriptJavaScript

JavaScript gets a bad rep, quite undeservedly so in my opinion. Today, JS is closer to functional languages than to the traditional-OO languages, and when used as such provides a great development experience. The pace of development is just picking up with transpilers like Babel making future advanced language features available to the masses today. At Cloudcraft.co, we write 100% of both the front-end (with React) and the backend (with Node.js) in Javascript, using the latest ES6 and even some ES7 features. This is not your grandfather's Javascript!

Avatar of Flutter Health Inc.
Flutter Health Inc. uses GoGo

The following basic API endpoints are implemented on the server written in Go:

  • Authorization (Sign Up, Sign In)
  • Update user profile
  • Community: add post, like post, add comment, delete post, add reply to comment
  • Self-diagnosis: send data from the app to the server
  • Journal: send user data from the app to the server
  • Add groups of community
  • Report post, report comment, report reply
  • Block user
Avatar of MOKA Analytics
MOKA Analytics uses JavaScriptJavaScript

The application front-end is written in JavaScript (ES6). We originally selected it over TypeScript because many library typings at the time were still flaky and the transpilation time was slow.

We are now re-considering TypeScript because 1) the tooling has improved significantly, and 2) and the root cause of the majority of our front-end bugs are related to typing (despite having PropTypes).

Avatar of Zinc
Zinc uses GoGo

We wrote our own image processing, resizing, and snapshotting service in Go to allow our clients to send photos and GIFs to each other. Files are stored in S3, resized on the fly using OpenCV, and then cached in GroupCache before being served to clients.

Go allows it all to be quite fast and efficient, and entirely non-blocking on uploads!

Avatar of Diggernaut LLC
Diggernaut LLC uses GoGo

Our main web scraping engine is built usign Golang because of the way how efficiently and fast this language is. Also out compilation facility let people who dont know Golang build fast as flash scrapers to run ourside of our platform without any knowledge in programming in Golang.

Avatar of Refractal
Refractal uses GoGo

For some of our more taxing parts of our applications, something able to handle high I/O load quickly and with fast processing is needed. Go has completely filled that gap, allowing us to break down walls that would've been completely impossible with other languages.

Avatar of AL1L
AL1L uses DartDart

I will use Dart later to handle the payloads from Roblox and all API requests.

Avatar of Tobe O
Tobe O uses DartDart

Built on Dart.

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