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CSS 3
CSS 3

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CSS 3 vs Go: What are the differences?

What is CSS 3? The latest evolution of the Cascading Style Sheets language. CSS3 is the latest evolution of the Cascading Style Sheets language and aims at extending CSS2.1. It brings a lot of long-awaited novelties, like rounded corners, shadows, gradients, transitions or animations, as well as new layouts like multi-columns, flexible box or grid layouts. Experimental parts are vendor-prefixed and should either be avoided in production environments, or used with extreme caution as both their syntax and semantics can change in the future.

What is Go? An open source programming language that makes it easy to build simple, reliable, and efficient software. 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.

CSS 3 and Go can be primarily classified as "Languages" tools.

Go is an open source tool with 60.5K GitHub stars and 8.37K GitHub forks. Here's a link to Go's open source repository on GitHub.

According to the StackShare community, Go has a broader approval, being mentioned in 903 company stacks & 609 developers stacks; compared to CSS 3, which is listed in 100 company stacks and 283 developer stacks.

- No public GitHub repository available -

What is CSS 3?

CSS3 is the latest evolution of the Cascading Style Sheets language and aims at extending CSS2.1. It brings a lot of long-awaited novelties, like rounded corners, shadows, gradients, transitions or animations, as well as new layouts like multi-columns, flexible box or grid layouts. Experimental parts are vendor-prefixed and should either be avoided in production environments, or used with extreme caution as both their syntax and semantics can change in the future.

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.
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Why do developers choose CSS 3?
Why do developers choose Go?
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      What are some alternatives to CSS 3 and Go?
      Sass
      Sass is an extension of CSS3, adding nested rules, variables, mixins, selector inheritance, and more. It's translated to well-formatted, standard CSS using the command line tool or a web-framework plugin.
      Bootstrap
      Bootstrap is the most popular HTML, CSS, and JS framework for developing responsive, mobile first projects on the web.
      PHP
      Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.
      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 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.
      See all alternatives
      Decisions about CSS 3 and Go
      Antonio Sanchez
      Antonio Sanchez
      CEO at Kokoen GmbH · | 11 upvotes · 72.9K views
      atKokoen GmbHKokoen GmbH
      ExpressJS
      ExpressJS
      Node.js
      Node.js
      JavaScript
      JavaScript
      MongoDB
      MongoDB
      Go
      Go
      MySQL
      MySQL
      Laravel
      Laravel
      PHP
      PHP

      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

      See more
      Nitzan Shapira
      Nitzan Shapira
      at Epsagon · | 11 upvotes · 94.9K views
      atEpsagonEpsagon
      AWS Lambda
      AWS Lambda
      GitHub
      GitHub
      Java
      Java
      Go
      Go
      Node.js
      Node.js
      npm
      npm
      Serverless
      Serverless
      Python
      Python

      At Epsagon, we use hundreds of AWS Lambda functions, most of them are written in Python, and the Serverless Framework to pack and deploy them. One of the issues we've encountered is the difficulty to package external libraries into the Lambda environment using the Serverless Framework. This limitation is probably by design since the external code your Lambda needs can be usually included with a package manager.

      In order to overcome this issue, we've developed a tool, which we also published as open-source (see link below), which automatically packs these libraries using a simple npm package and a YAML configuration file. Support for Node.js, Go, and Java will be available soon.

      The GitHub respoitory: https://github.com/epsagon/serverless-package-external

      See more
      Omar Mehilba
      Omar Mehilba
      Co-Founder and COO at Magalix · | 11 upvotes · 42.9K views
      atMagalixMagalix
      Python
      Python
      Go
      Go
      Amazon EC2
      Amazon EC2
      Google Kubernetes Engine
      Google Kubernetes Engine
      Microsoft Azure
      Microsoft Azure
      Kubernetes
      Kubernetes
      #Autopilot

      We are hardcore Kubernetes users and contributors. We loved the automation it provides. However, as our team grew and added more clusters and microservices, capacity and resources management becomes a massive pain to us. We started suffering from a lot of outages and unexpected behavior as we promote our code from dev to production environments. Luckily we were working on our AI-powered tools to understand different dependencies, predict usage, and calculate the right resources and configurations that should be applied to our infrastructure and microservices. We dogfooded our agent (http://github.com/magalixcorp/magalix-agent) and were able to stabilize as the #autopilot continuously recovered any miscalculations we made or because of unexpected changes in workloads. We are open sourcing our agent in a few days. Check it out and let us know what you think! We run workloads on Microsoft Azure Google Kubernetes Engine and Amazon EC2 and we're all about Go and Python!

      See more
      Conor Myhrvold
      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 13 upvotes · 662.2K views
      atUber TechnologiesUber Technologies
      Apache Spark
      Apache Spark
      C#
      C#
      OpenShift
      OpenShift
      JavaScript
      JavaScript
      Kubernetes
      Kubernetes
      C++
      C++
      Go
      Go
      Node.js
      Node.js
      Java
      Java
      Python
      Python
      Jaeger
      Jaeger

      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
      Go
      Go
      Lua
      Lua
      OpenResty
      OpenResty
      nginx
      nginx
      Logstash
      Logstash
      Prometheus
      Prometheus

      At Kong while building an internal tool, we struggled to route metrics to Prometheus and logs to Logstash without incurring too much latency in our metrics collection.

      We replaced nginx with OpenResty on the edge of our tool which allowed us to use the lua-nginx-module to run Lua code that captures metrics and records telemetry data during every request’s log phase. Our code then pushes the metrics to a local aggregator process (written in Go) which in turn exposes them in Prometheus Exposition Format for consumption by Prometheus. This solution reduced the number of components we needed to maintain and is fast thanks to NGINX and LuaJIT.

      See more
      Jonathan Pugh
      Jonathan Pugh
      Software Engineer / Project Manager / Technical Architect · | 17 upvotes · 133.8K views
      Pouchdb
      Pouchdb
      CouchDB
      CouchDB
      Font Awesome
      Font Awesome
      CSS 3
      CSS 3
      Apache Cordova
      Apache Cordova
      PhoneGap
      PhoneGap
      HTML5
      HTML5
      Ruby
      Ruby
      Babel
      Babel
      Webpack
      Webpack
      Visual Studio Code
      Visual Studio Code
      Figma
      Figma
      TypeScript
      TypeScript
      JavaScript
      JavaScript
      Framework7
      Framework7
      #Css
      #CSS3
      #SCSS
      #Sass
      #Less
      #Electron
      #HandleBars
      #Template7
      #Sketch
      #GraphQL
      #HTML5
      #GraphCool

      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?

      See more
      StackShare Editors
      StackShare Editors
      Kubernetes
      Kubernetes
      Go
      Go
      Python
      Python

      Following its migration from vanilla instances with autoscaling groups to Kubernetes, Postmates began facing challenges while “migrating workloads that needed to scale up very quickly.”

      The built-in Horizontal Pod Autoscaler (HPA) automatically scales the number of pods in a replication controller, deployment or replica set based on observed CPU utilization. But the challenges for Postmates is that there’s no way to configure the scale velocity of one particular cluster with an HPA.

      For Postmates, which runs at least three different types of applications with distinct performance and scaling characteristics, this proved problematic.

      To overcome these challenges, the team created and open sourced the Configurable Horizontal Pod Autoscaler, which allows for fine-grained tuning on a per-HPA object basis. The result is that “you can configure critical services to scale down very slowly, while every other service could be configured to scale down instantly to reduce costs.”

      See more
      JavaScript
      JavaScript
      CSS 3
      CSS 3
      HTML5
      HTML5

      I use HTML5 because it's mandatory. Everyone who isn't a programmer should learn this as their first language because you can instantly get visual feedback for what you did. It's also one of the easiest languages to learn as it's just a markup language to display content. Learning this and then CSS 3 and then JavaScript should be the future of what everyone has to learn.

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

      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.

      See more
      Labinator Team
      Labinator Team
      at Labinator · | 13 upvotes · 48.9K views
      atLabinatorLabinator
      Debian
      Debian
      Manjaro
      Manjaro
      Visual Studio Code
      Visual Studio Code
      Sublime Text
      Sublime Text
      WordPress
      WordPress
      PHP
      PHP
      Vanilla.JS
      Vanilla.JS
      Sass
      Sass
      CSS 3
      CSS 3
      HTML5
      HTML5

      At labinator.com, we use HTML5, CSS 3, Sass, Vanilla.JS and PHP when building our premium WordPress themes and plugins. When writing our codes, we use Sublime Text and Visual Studio Code depending on the project. We run Manjaro and Debian operating systems in our office. Manjaro is a great desktop operating system for all range of tasks while Debian is a solid choice for servers.

      WordPress became a very popular choice when it comes to content management systems and building websites. It is easy to learn and has a great community behind it. The high number of plugins as well that are available for WordPress allows any user to customize it depending on his/her needs.

      For development, HTML5 with Sass is our go-to choice when building our themes.

      Main Advantages Of Sass:

      • It's CSS syntax friendly
      • It offers variables
      • It uses a nested syntax
      • It includes mixins
      • Great community and online support.
      • Great documentation that is easy to read and follow.

      As for PHP, we always thrive to use PHP 7.3+. After the introduction of PHP 7, the WordPress development process became more stable and reliable than before. If you a developer considering PHP 7.3+ for your project, it would be good to note the following benefits.

      The Benefits Of Using PHP:

      • Open Source.
      • Highly Extendible.
      • Easy to learn and read.
      • Platform independent.
      • Compatible with APACHE.
      • Low development and maintenance cost.
      • Great community and support.
      • Detailed documentation that has everything you need!

      Why PHP 7.3+?

      • Flexible Heredoc & Nowdoc Syntaxes - Two key methods for defining strings within PHP. They also became easier to read and more reliable.
      • A good boost in performance speed which is extremely important when it comes to WordPress development.
      See more
      Vishwa Bhat
      Vishwa Bhat
      Fullstack Developer at Sequoia · | 10 upvotes · 4.3K views
      atSequoia Consulting GroupSequoia Consulting Group
      Java
      Java
      Go
      Go
      Node.js
      Node.js

      Our new backend micro services are primarily written in Node.js and Go and legacy systems are written in Java. For our new stack decision, we aimed to achieve greater developer productivity, low IO latency and good community so we had couple of technologies in hand to choose but finally we concluded to go for Node.js for API layer and Go for CPU/IO intensive tasks. Currently the inter-services communication is happening via REST but soon to be moved to RPC-based communication.

      See more
      Robert Zuber
      Robert Zuber
      CTO at CircleCI · | 4 upvotes · 7.2K views
      atCircleCICircleCI
      Slack
      Slack
      Go
      Go
      Hubot
      Hubot
      CoffeeScript
      CoffeeScript

      We have added very little to the CoffeeScript Hubot application – just enough to allow it to talk to our Hubot workers. The Hubot workers implement our operational management functionality and expose it to Hubot so we can get chat integration for free. We’ve also tailored the authentication and authorization code of Hubot to meet the needs of roles within our team.

      For larger tasks, we’ve got an internal #CLI written in Go that talks to the same #API as Hubot, giving access to the same functionality we have in Slack, with the addition of scripting, piping, and all of our favorite #Unix tools. When the Hubot worker recognizes the CLI is in use, it logs the commands to Slack to maintain visibility of operational changes.

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

      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 .

      See more
      John Datserakis
      John Datserakis
      Node.js
      Node.js
      PHP
      PHP
      Go
      Go

      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.

      See more
      Dan Larsen
      Dan Larsen
      CTO at FlowStack · | 7 upvotes · 15.4K views
      atFlowStack ApSFlowStack ApS
      C++
      C++
      C
      C
      Rust
      Rust
      Go
      Go

      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.

      See more
      Interest over time
      Reviews of CSS 3 and Go
      Avatar of tschellenbach
      CEO at Stream
      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/

      How developers use CSS 3 and Go
      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 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 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.

      How much does CSS 3 cost?
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