Bootstrap vs jQuery: What are the differences?
"Responsiveness", "UI components" and "Consistent" are the key factors why developers consider Bootstrap; whereas "Cross-browser", "Dom manipulation" and "Power" are the primary reasons why jQuery is favored.
Bootstrap and jQuery are both open source tools. It seems that Bootstrap with 134K GitHub stars and 66K forks on GitHub has more adoption than jQuery with 51.9K GitHub stars and 18.3K GitHub forks.
Spotify, Twitter, and Lyft are some of the popular companies that use Bootstrap, whereas jQuery is used by Uber Technologies, Twitter, and reddit. Bootstrap has a broader approval, being mentioned in 7044 company stacks & 1115 developers stacks; compared to jQuery, which is listed in 4052 company stacks and 2610 developer stacks.
What is Bootstrap?
What is jQuery?
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Late in 2014, around the time of the Series D, the WeWork engineering team had grown to 14, and while the backend was modernized with Rails and Active Admin CMS, the main website was lacking. The new headcount provided enough capacity to address the aging WordPress website.
As the team experimented with front-end technologies, they implemented a new signup flow with Angular, and other flows, including the Market Page, in React and Redux. The team says of that time: “If you’re following closely, yes, this means that in one rails app we had pages that included one or many of the following: jQuery, Angular, and React.”
By mid-2015, around the time of the Series E, the Digital department at WeWork had grown to more than 40 people to support the company’s growing product needs.
By then, they’d migrated the main website off of WordPress to Ruby on Rails, and a combination React, Angular, and jQuery, though there were efforts to move entirely to React for the front-end.
The backend was structured around a microservices architecture built partially in Node.js, along with a combination of Ruby, Python, Bash, and Go. Swift/Objective-C and Java powered the mobile apps.
These technologies power the listings on the website, as well as various internal tools, like community manager dashboards as well as RFID hardware for access management.
The front end for Heap begun to grow unwieldy. The original jQuery pieces became difficult to maintain and scale, and a decision was made to introduce Backbone.js, Marionette, and TypeScript. Ultimately this ended up being a “detour” in the search for a scalable and maintainable front-end solution. The system did allow for developers to reuse components efficiently, but adding features was a difficult process, and it eventually became a bottleneck in advancing the product.
Today, the Heap product consists primarily of a customer-facing dashboard powered by React, MobX, and TypeScript on the front end. We wrote our migration to React and MobX in detail last year here.
I'm building a new process management tool. I decided to build with Rails as my backend, using Sidekiq for background jobs. I chose to work with these tools because I've worked with them before and know that they're able to get the job done. They may not be the sexiest tools, but they work and are reliable, which is what I was optimizing for. For data stores, I opted for PostgreSQL and Redis. Because I'm planning on offering dashboards, I wanted a SQL database instead of something like MongoDB that might work early on, but be difficult to use as soon as I want to facilitate aggregate queries.
Python Django PostgreSQL Bootstrap jQuery
Healthchecks.io is a SaaS cron monitoring service. I needed a tool to monitor my cron jobs. I was not happy with the existing options, so I wrote one. The initial goal was to get to a MVP state, and use it myself. The followup goals were to add functionality and polish the user interface, while keeping the UI and the under the hood stuff as simple and clean as possible.
Python and DJango were obvious choices as I was already familiar with them, and knew that many of Django's built-in features would come handy in this project: ORM, testing infrastructure, user authentication, templates, form handling.
On the UI side, instead of doing the trendy "React JS app talking to API endpoints" thing, I went with the traditional HTML forms, and full page reloads. I was aiming for the max simplicity. Paraphrasing Kevin from The Office, why waste time write lot JS when form submit do trick. The frontend does however use some JS, for example, to support live-updating dashboards.
The backend is also aiming for max simplicity, and I've tried to keep the number of components to the minimum. For example, a message broker or a key-value store could be handy, but so far I'm getting away with storing everything in the Postgres database.
The deployment and hosting setup is also rather primitive by today's standards. uWSGI runs the Django app, with a nginx reverse proxy in front. uWSGI and nginx are run as systemd services on bare metal servers. Traffic is proxied through Cloudflare Load Balancer, which allows for relatively easy rolling code upgrades. I use Fabric for automating server maintenance. I did use Ansible for a while but moved back to Fabric: my Ansible playbooks were slower, and I could not get used to mixing YAML and Jinja templating.
Healthchecks.io tech decisions in one word: KISS. Use boring tools that get the job done.
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.
<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.
We are always building new features and replacing old code at StackShare. Lately we have been building out new features for the frontend, and removing a lot of old jQuery code (sorry jQuery but it's time to go).
As we've moved towards the above tech, its really made smashing out new features and updating legacy code super fast, and really fun!
When my SSL cert MaxCDN was expiring on my personal site I decided it was a good time to revamp some things. Since GitHub Services is depreciated I can no longer have #CDN cache purges automated among other things. So I decided on the following: GitHub Pages, Netlify, Let's Encrypt and Jekyll. Staying the same was Bootstrap, jQuery, Grunt & #GoogleFonts.
What's awesome about GitHub Pages is that it has a #CDN (Fastly) built-in and anytime you push to master, it purges the cache instantaneously without you have to do anything special. Netlify is magic, I highly recommend it to anyone using #StaticSiteGenerators.
For the most part, everything went smoothly. The only things I had issues with were the following:
- If you want to point
wwwto GitHub Pages you need to rename the repo to
- If you edit something in the
_config.ymlyou need to restart
bundle exec jekyll sor changes won't show
- I had to disable the Grunt
htmlminmodule. I replaced it with Jekyll layout that compresses HTML for #webperf
Last but certainly not least, I made a donation to Let's Encrypt. If you use their service consider doing it too: https://letsencrypt.org/donate/
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.