Purgecss
Tailwind CSS
Unused CSS
CSS Peeper
CSSViewer
Css Inspector
Unused CSS finder
CSS Dig
Plotly
D3.js
Chart.js
Highcharts
Google Charts
RAWGraphs
Tableau
Microsoft Power BI
Purgecss PlotlyPurgecss might be a bit more popular than Plotly. We know about 33 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.
As a starting point, Tailwind used to use PurgeCSS [0] but I'm not sure what they use now. [0] https://purgecss.com. - Source: Hacker News / 3 months ago
A similar question was already posted here but, I think looking at the raw html, we will be able to better determine the required css than what Purgecss does. Source: 9 months ago
Webpack minifies JS and CSS files by default when we build them in production mode. But it does not remove useless styles or classes. For this, you can use libraries like https://purgecss.com/ Do not forget to check the dependency, connect only the functionality that you use. - Source: dev.to / about 1 year ago
When I searched online I couldn't find an "industry standard" solution to this problem. What I ended up doing was using the popular tool PurgeCSS along with a quick Python script to generate the appropriate command. What the PurgeCSS tool does is search for all your HTML files, gather all the CSS classes used, and then "purge" all the unused ones from the CSS file. You just need to declare all the HTML files you... - Source: dev.to / over 1 year ago
Skeleventy gives you a rock-solid foundation to build fast and accessible static websites, with clean, understated design. Features include a minimal build pipeline with Laravel Mix, the Sass-powered utility class generator Gorko, Purge CSS, an HTML minifier, SEO-friendly page metadata, image lazy loading, responsive navigation, and an XML sitemap. - Source: dev.to / over 1 year 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 / 5 days 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
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.
Unused CSS - Easily find and remove unused CSS rules
Chart.js - Easy, object oriented client side graphs for designers and developers.
CSS Peeper - Smart CSS viewer tailored for Designers.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application