Based on our record, Bootstrap seems to be a lot more popular than Plotly. While we know about 328 links to Bootstrap, 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.
As an example, let’s take the Bootstrap framework and try to go with ITCSS structure in it. - Source: dev.to / 6 days ago
Bootstrap Tooltips — A component of the Bootstrap (168k ⭐) framework that helps you add custom tooltips with CSS and JavaScript using CSS3 for animations and data-attributes for local title storage. They rely on the Popper.js library for positioning and offer various options to customize the appearance and behavior of the tooltips. Bootstrap tooltips are opt-in for performance reasons, so you must initialize them... - Source: dev.to / 7 days ago
This article serves as your comprehensive guide to mastering the art of combining Bootstrap and React seamlessly. Dive in to uncover the tips, tricks, and best practices to elevate your UI design game effortlessly. - Source: dev.to / about 1 month ago
Bootstrap is already a popular framework among the web developers. And, these free templates makes it even more convenient to use Bootstrap in your projects. - Source: dev.to / about 1 month ago
Tailwind is great, but creating everything from scratch is annoying. A nice base of components which can be extended with tailwind would be great. There are a few tailwind frameworks like Flowbite, Daisy Ui, but I like Bulma, PicoCSS and Bootstrap. - Source: dev.to / about 1 month 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: 12 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
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
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
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.
Materialize CSS - A modern responsive front-end framework based on Material Design
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