Sass
PostCSS
Stylus
Tailwind CSS
Less
Bootstrap
Next.js
styled-components
Plotly
D3.js
Chart.js
Highcharts
Google Charts
RAWGraphs
Tableau
Microsoft Power BI
Sass PlotlyBased on our record, Sass should be more popular than Plotly. It has been mentiond 133 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.
Attractions is a UI kit for Svelte that includes 49 components and a collection of helper functions. It uses Sass for styling. Although the Attractions kit seems promising and the components look really nice, it's not very actively supported right now and its future is uncertain. - Source: dev.to / about 1 month ago
We took our time evaluating different options and ultimately landed on a focused set of technologies: Next.js, TypeScript, Redux Toolkit, SASS, and Axios. This combination offers a powerful and manageable foundation for our project, avoiding the pitfalls of an overly complex tech stack. - Source: dev.to / 24 days ago
Traditionally CSS lacked features such as variables, nesting, mixins, and functions. This was frustrating for Developers as it often led to CSS quickly becoming complex and cumbersome. In an attempt to make code easier and less repetitive CSS pre-processors were born. You would write CSS in the format the pre-processor understood and, at build time, you'd have some nice CSS. The most common pre-processors these... - Source: dev.to / 4 months ago
CSS stands for Cascading Style Sheets, and is a scripting language used to style web pages. SCSS stands for Syntactically Awesome Style Sheet, and is a superset of CSS. You can think of SCSS as the more advanced version of CSS, which comes with several features that CSS does not support, such as the SCSS nested syntax, as shown below. - Source: dev.to / 4 months ago
In the past, you’d need to rely on pre-processors such as SaSS or Less, but not anymore… Native CSS nesting has landed on all major modern browsers. - Source: dev.to / 5 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 6 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year 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
PostCSS - Increase code readability. Add vendor prefixes to CSS rules using values from Can I Use. Autoprefixer will use the data based on current browser popularity and property support to apply prefixes for you.
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.
Stylus - EXPRESSIVE, DYNAMIC, ROBUST CSS
Chart.js - Easy, object oriented client side graphs for designers and developers.
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application