Shiny
Node.js
Django
Ruby on Rails
Laravel
Meteor
ASP.NET
ExpressJS
Google Charts
D3.js
Highcharts
Chart.js
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Shiny Google ChartsBased on our record, Shiny should be more popular than Google Charts. It has been mentiond 32 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
A lighterweight alternative to renv is to use Posit Public Package Manage (https://packagemanager.posit.co/) with a pinned date. That doesn't help if you're installing packages from a mix of places, but if you're only using CRAN packages it lets you get everything as of a fixed date. And of course on the web side you have shiny (https://shiny.posit.co), which now also comes in a python flavour. - Source: Hacker News / 4 months ago
Sometimes the war is lost even before the battle begins. During grad school, I wrote a whole bunch of web apps entirely in R using Shiny. It was clunky as hell, but yeah, it worked. I went looking for what's up with Shiny these days and found this - https://shiny.posit.co/ So yeah, full on pivot into python. Pip install shiny. Alright! "No web development skills required. Develop web apps entirely in R I mean... - Source: Hacker News / 11 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
We work along side bio-statisticians and data analysts, from my experience in this world I recommend to build some plots/graphs in R based on some information you find appealing. After you have some work to show off to potential employers , learn Shiny and publish those graphs online as your portfolio. Source: about 1 year ago
One of the most difficult yet most fun projects I’ve done. Using Shiny to make an app, all coded in R! Source: over 1 year ago
This library leverages the robustness of Google’s chart tools combined with a React-friendly experience. It is ideal for developers familiar with Google’s visualization ecosystem. - Source: dev.to / 9 months ago
I tried adding the images as labels and it didn't work. If this is possible at all, it would probably require Google Charts. Source: about 1 year ago
Google's is a bit simpler to work with but more basic in terms of features https://developers.google.com/chart. Source: over 1 year ago
Google charts Https://developers.google.com/chart. - Source: dev.to / over 1 year ago
I did find a nice solution for Access forms where you can use a web browser control and developers.google.com/chart to render a QR code in that control based on the contents of other controls (textboxes, comboboxes, etc.,.). This would be perfect if it didn't a) rely on an active WAN connection and b) rely on that specific URL being active indefinitely. Source: about 2 years ago
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Django - The Web framework for perfectionists with deadlines
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Chart.js - Easy, object oriented client side graphs for designers and developers.