Shuffle for Tailwind CSS
Tailwind CSS Play
Tailwind Builder
Tailwind CSS
CSS Scan
ska-tailwind-editor
DaisyUI
FlowBite
Plotly
D3.js
Chart.js
Highcharts
Google Charts
RAWGraphs
Tableau
Microsoft Power BI
Shuffle for Tailwind CSS PlotlyNo Shuffle for Tailwind CSS videos yet. You could help us improve this page by suggesting one.
Based on our record, Plotly should be more popular than Shuffle for Tailwind CSS. It has been mentiond 30 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.
Tailwind has a mass of ready-made UI libraries and components, so it's not that when you start working in it you always have to build everything from scratch. For example; https://shuffle.dev/tailwind. Source: about 2 years ago
Just take note that to get code you'll need to buy subscription: shuffle.dev/tailwind. Source: over 2 years ago
If it's too pricey for you, than you may like this option, also with read-made components https://shuffle.dev/tailwind. Source: over 2 years ago
Haha, yes CSS is sometimes a PITA. If you are looking for ways to build landing pages there are luckily a lot of no-code tools out there already: https://typedream.com/ https://shuffle.dev/ or if it should be more customizable https://webflow.com/. Source: over 2 years ago
It’s „custom designed“ but I heavily rely on the amazing CSS framework TailwindCSS and their pre made components called TailwindUI. There’s also https://shuffle.dev/tailwind which I have used for some other pages. It’s a nocode tool and even builds on Tailwind. Let me know if I can help further. Source: over 2 years 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 / 15 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: over 1 year ago
Tailwind CSS Play - An advanced online playground for Tailwind CSS
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 Builder - Tailwind CSS editor for busy developers
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