Alternatives to Vuesax

Our whole Vue.js frontend stack (incl. SSR) consists of the following tools:

• Nuxt.js consisting of Vue CLI, Vue Router, vuex, Webpack and Sass (Bundler for HTML5, CSS 3), Babel (Transpiler for JavaScript),
• Vue Styleguidist as our style guide and pool of developed Vue.js components
• Vuetify as Material Component Framework (for fast app development)
• TypeScript as programming language
• Apollo / GraphQL (incl. GraphiQL) for data access layer (https://apollo.vuejs.org/)
• ESLint, TSLint and Prettier for coding style and code analyzes
• Jest as testing framework
• Google Fonts and Font Awesome for typography and icon toolkit
• NativeScript-Vue for mobile development

The main reason we have chosen Vue.js over React and AngularJS is related to the following artifacts:

• Empowered HTML. Vue.js has many similar approaches with Angular. This helps to optimize HTML blocks handling with the use of different components.
• Detailed documentation. Vue.js has very good documentation which can fasten learning curve for developers.
• Adaptability. It provides a rapid switching period from other frameworks. It has similarities with Angular and React in terms of design and architecture.
• Awesome integration. Vue.js can be used for both building single-page applications and more difficult web interfaces of apps. Smaller interactive parts can be easily integrated into the existing infrastructure with no negative effect on the entire system.
• Large scaling. Vue.js can help to develop pretty large reusable templates.
• Tiny size. Vue.js weights around 20KB keeping its speed and flexibility. It allows reaching much better performance in comparison to other frameworks.

I'm building most projects using: Server: either Fastify (all projects going forward) or ExpressJS on Node.js (existing, previously) on the server side, and Client app: either Vuetify (currently) or Quasar Framework (going forward) on Vue.js with vuex on Electron for the UI to deliver both web-based and desktop applications for multiple platforms.

The direct support for Android and iOS in Quasar Framework will make it my go-to client UI platform for any new client-side or web work. On the server, I'll probably use Fastly for all my server work, unless I get into Go more in the future.

Update: The mobile support in Quasar is not a sufficiently compelling reason to move me from Vuetify. I have decided to stick with Vuetify for a UI for Vue, as it is richer in components and enables a really great-looking professional result. For mobile platforms, I will just use Cordova to wrap the Vue+Vuetify app for mobile, and Electron to wrap it for desktop platforms.

I'm planning to create a web application and also a mobile application to provide a very good shopping experience to the end customers. Shortly, my application will be aggregate the product details from difference sources and giving a clear picture to the user that when and where to buy that product with best in Quality and cost.

I have planned to develop this in many milestones for adding N number of features and I have picked my first part to complete the core part (aggregate the product details from different sources).

As per my work experience and knowledge, I have chosen the followings stacks to this mission.

UI: I would like to develop this application using React, React Router and React Native since I'm a little bit familiar on this and also most importantly these will help on developing both web and mobile apps. In addition, I'm gonna use the stacks JavaScript, jQuery, jQuery UI, jQuery Mobile, Bootstrap wherever required.

Service: I have planned to use Java as the main business layer language as I have 7+ years of experience on this I believe I can do better work using Java than other languages. In addition, I'm thinking to use the stacks Node.js.

Database and ORM: I'm gonna pick MySQL as DB and Hibernate as ORM since I have a piece of good knowledge and also work experience on this combination.

Search Engine: I need to deal with a large amount of product data and it's in-detailed info to provide enough details to end user at the same time I need to focus on the performance area too. so I have decided to use Solr as a search engine for product search and suggestions. In addition, I'm thinking to replace Solr by Elasticsearch once explored/reviewed enough about Elasticsearch.

Host: As of now, my plan to complete the application with decent features first and deploy it in a free hosting environment like Docker and Heroku and then once it is stable then I have planned to use the AWS products Amazon S3, EC2, Amazon RDS and Amazon Route 53. I'm not sure about Microsoft Azure that what is the specialty in it than Heroku and Amazon EC2 Container Service. Anyhow, I will do explore these once again and pick the best suite one for my requirement once I reached this level.

Build and Repositories: I have decided to choose Apache Maven and Git as these are my favorites and also so popular on respectively build and repositories.

Additional Utilities :) - I would like to choose Codacy for code review as their Startup plan will be very helpful to this application. I'm already experienced with Google CheckStyle and SonarQube even I'm looking something on Codacy.

Happy Coding! Suggestions are welcome! :)

Thanks, Ganesa

For Etom, a side project. We wanted to test an idea for a future and bigger project.

What Etom does is searching places. Right now, it leverages the Google Maps API. For that, we found a React component that makes this integration easy because using Google Maps API is not possible via normal API requests.

You kind of need a map to work as a proxy between the software and Google Maps API.

We hate configuration(coming from Rails world) so also decided to use Create React App because setting up a React app, with all the toys, it's a hard job.

Thanks to all the people behind Create React App it's easier to start any React application.

We also chose a module called Reactstrap which is Bootstrap UI in React components.

An important thing in this side project(and in the bigger project plan) is to measure visitor through out the app. For that we researched and found that Keen was a good choice(very good free tier limits) and also it is very simple to setup and real simple to send data to

Slack and Trello are our defaults tools to comunicate ideas and discuss topics, so, no brainer using them as well for this project.

ReactQL is a React + GraphQL front-end starter kit. #JSX is a natural way to think about building UI, and it renders to pure #HTML in the browser and on the server, making it trivial to build server-rendered Single Page Apps. GraphQL via Apollo was chosen for the data layer; #GraphQL makes it simple to request just the data your app needs, and #Apollo takes care of communicating with your API (written in any language; doesn't have to be JavaScript!), caching, and rendering to #React.

ReactQL is written in TypeScript to provide full types/Intellisense, and pick up hard-to-diagnose goofs that might later show up at runtime. React makes heavy use of Webpack 4 to handle transforming your code to an optimised client-side bundle, and in throws back just enough code needed for the initial render, while seamlessly handling import statements asynchronously as needed, making the payload your user downloads ultimately much smaller than trying to do it by hand.

React Helmet was chosen to handle <head> content, because it works universally, making it easy to throw back the correct <title> and other tags on the initial render, as well as inject new tags for subsequent client-side views.

styled-components, Sass, Less and PostCSS were added to give developers a choice of whether to build styles purely in React / JavaScript, or whether to defer to a #css #preprocessor. This is especially useful for interop with UI frameworks like Bootstrap, Semantic UI, Foundation, etc - ReactQL lets you mix and match #css and renders to both a static .css file during bundling as well as generates per-page <style> tags when using #StyledComponents.

React Router handles routing, because it works both on the server and in the client. ReactQL customises it further by capturing non-200 responses on the server, redirecting or throwing back custom 404 pages as needed.

Koa is the web server that handles all incoming HTTP requests, because it's fast (TTFB < 5ms, even after fully rendering React), and its natively #async, making it easy to async/await inside routes and middleware.

I'm creating a website with React in my free time, and this is my first time doing this. So far, I've worked with React and React Router, but migrating to Next.js or Gatsby would cover Routing and SEO, which I currently cannot work with. Most things I read say that Next.js is the best solution, but I am trying to decide whether it is worth the time and effort to recreate the site for SEO and speed purposes. Does anyone have suggestions?

For Stack Decisions I needed to add Markdown in the decision composer to give our users access to some general styling when writing their decisions. We used React & GraphQL on the #Frontend and Ruby & GraphQL on the backend.

Instead of using Showdown or another tool, We decided to parse the Markdown on the backend so we had more control over what we wanted to render in Markdown because we didn't want to enable all Markdown options, we also wanted to limit any malicious code or images to be embedded into the decisions and Markdown was a fairly large to import into our component so it was going to add a lot of kilobytes that we didn't need.

We also needed to style how the markdown looked, we are currently using Glamorous so I used that but we are planning to update this to Emotion at some stage as it has a fairly easy upgrade path rather than switching over to styled-components or one of the other cssInJs alternatives.

Also we used React-Mentions for tagging tools and topics in the decisions. Typing @ will let you tag a tool, and typing # will allow you to tag a topic.

The Markdown options that we chose to support are tags: a, code, u, b, em, pre, ul, ol, li.

If there are anymore tags you'd love to see added in the composer leave me a comment below and we will look into adding them.

#StackDecisionsLaunch

ReactQL is a React + GraphQL front-end starter kit. #JSX is a natural way to think about building UI, and it renders to pure #HTML in the browser and on the server, making it trivial to build server-rendered Single Page Apps. GraphQL via Apollo was chosen for the data layer; #GraphQL makes it simple to request just the data your app needs, and #Apollo takes care of communicating with your API (written in any language; doesn't have to be JavaScript!), caching, and rendering to #React.

ReactQL is written in TypeScript to provide full types/Intellisense, and pick up hard-to-diagnose goofs that might later show up at runtime. React makes heavy use of Webpack 4 to handle transforming your code to an optimised client-side bundle, and in throws back just enough code needed for the initial render, while seamlessly handling import statements asynchronously as needed, making the payload your user downloads ultimately much smaller than trying to do it by hand.

React Helmet was chosen to handle <head> content, because it works universally, making it easy to throw back the correct <title> and other tags on the initial render, as well as inject new tags for subsequent client-side views.

styled-components, Sass, Less and PostCSS were added to give developers a choice of whether to build styles purely in React / JavaScript, or whether to defer to a #css #preprocessor. This is especially useful for interop with UI frameworks like Bootstrap, Semantic UI, Foundation, etc - ReactQL lets you mix and match #css and renders to both a static .css file during bundling as well as generates per-page <style> tags when using #StyledComponents.

React Router handles routing, because it works both on the server and in the client. ReactQL customises it further by capturing non-200 responses on the server, redirecting or throwing back custom 404 pages as needed.

Koa is the web server that handles all incoming HTTP requests, because it's fast (TTFB < 5ms, even after fully rendering React), and its natively #async, making it easy to async/await inside routes and middleware.

I am starting to become a full-stack developer, by choosing and learning .NET Core for API Development, Angular CLI / React for UI Development, MongoDB for database, as it a NoSQL DB and Flutter / React Native for Mobile App Development. Using Postman, Markdown and Visual Studio Code for development.

Picked Angular 2 as framework since Angular CLI made it easy to get started on a self-contained frontend web project with TypeScript for easier development -- thanks to intellisense extensions for Visual Studio Code, hassle-free browser compatibility with the built-in Babel transpiler and packaging with the built-in Webpack configuration.

Hi there!

I just want to have a simple poll/vote...

If you guys need a UI/Component Library for React, Vue.js, or AngularJS, which type of library would you prefer between:

1 ) A single maintained cross-framework library that is 100% compatible and can be integrated with any popular framework like Vue, React, Angular 2, Svelte, etc.

2) A native framework-specific library developed to work only on target framework like ElementUI for Vue, Ant Design for React.

Your advice would help a lot! Thanks in advance :)

Hi, I start building an admin dashboard with next.js and looking for a frontend framework ( components ready ). So I end up with Ant Design and Material-UI, but I never built a project with these two.

Here is a list of my requirements.

1. Good documentation.
2. easy CRUD ( date picker and date range picker bundled )
3. built-in multi-lang feature or Great 3rd library support
4. Admin dashboard template
5. well code maintenance

Which is better for the long run?

We are in the process of adopting Next.js as our React framework and using Storybook to help build our React components in isolation. This new part of our frontend is written in TypeScript, and we use Emotion for CSS/styling. For delivering data, we use GraphQL and Apollo. Jest, Percy, and Cypress are used for testing.