Tailwind CSS
Bootstrap
React
Bulma
Tailwind UI
DaisyUI
Material UI
Vue.js
Plotly
D3.js
Chart.js
Highcharts
Google Charts
RAWGraphs
Tableau
Microsoft Power BI
Tailwind CSS PlotlyI use it in all my current projects. It's easy to start and very customisable. Love it so much! I improved the speed of development 2x times by using Tailwind.
Based on our record, Tailwind CSS seems to be a lot more popular than Plotly. While we know about 867 links to Tailwind CSS, we've tracked only 29 mentions of Plotly. 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.
You can use any frontend framework you want — react-based tooling, however, has a natural advantage as it models everything as a function of state, which can map 1:1 with the concept in Burr. In the demo app we use react, react-query, and tailwind, but we’ll be skipping over this largely (it is not central to the purpose of the post). - Source: dev.to / 4 days ago
Tailwind CSS: A utility-first CSS framework for rapidly building custom designs. - Source: dev.to / 5 days ago
First, you need to make sure that you have a working Tailwind CSS project…. - Source: dev.to / 5 days ago
With better CSS approaches like TailwindCSS and Vanilla Extract (which we're heavily using) it's much easier to maintain the UI and make sure it doesn't change unexpectedly. No more conflicting CSS classes, much less CSS specificity issues and much less CSS code in general. - Source: dev.to / 8 days ago
This app was built with Svelte Kit, Tailwind CSS, and many other technologies. For a full rundown, please visit the GitHub repository. - Source: dev.to / 18 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 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: 12 months ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
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.
React - A JavaScript library for building user interfaces
Chart.js - Easy, object oriented client side graphs for designers and developers.
Bulma - Bulma is an open source CSS framework based on Flexbox and built with Sass. It's 100% responsive, fully modular, and available for free.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application