PostCSS
Sass
Tailwind CSS
Stylus
Less
Bootstrap
Materialize CSS
Topcoat
Plotly
D3.js
Chart.js
Highcharts
Google Charts
RAWGraphs
Tableau
Microsoft Power BI
PostCSS PlotlyPostCSS might be a bit more popular than Plotly. We know about 40 links to it since March 2021 and only 30 links to 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.
Later on, after my training, almost all of my work projects involved some preprocessor. It was during these experiences that I developed my strong dislike for preprocessors. In my personal projects, however, I never used preprocessors and wrote everything in pure CSS, adding precise enhancements through plugins for my .css bundler. For example, in the past, when I was bundling my .css files using PostCSS, I used a... - Source: dev.to / 4 days ago
The plugins in the official PostCSS website were old like IE6 or the marquee tag, and. - Source: dev.to / over 1 year ago
Hello internet. I just published a new blog post on how to implement dark mode with SvelteKit, optionally with PostCSS and TailwindCSS:. Source: 7 months ago
There are many frontend tools available for this purpose. For example, PostCSS is a popular CSS processor that can combine and minimize your code. With the right plugin, it can even fix your code for compatibility issues, making sure your CSS styles work for all browsers. - Source: dev.to / 7 months ago
I use PostCSS to extend CSS’s features and to add a few things that make writing styles a little more convenient, but it could easily be swapped for another preprocessor like Sass or vanilla CSS. It’s up to you. You can view my PostCSS config here. - Source: dev.to / 8 months ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 7 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 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
Sass - Syntatically Awesome Style Sheets
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.
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Stylus - EXPRESSIVE, DYNAMIC, ROBUST CSS
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application