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Tailwind CSS Play might be a bit more popular than Plotly. We know about 42 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.
I think a preview would be useful, like Tailwind Play: https://play.tailwindcss.com/. - Source: Hacker News / 3 months ago
Copy and paste the generated code into the Tailwind playground. Here's the code generated by Visual Copilot in Quality mode:. - Source: dev.to / 8 months ago
Congratulations on making it this far! If you're wondering how to master all these utility classes, remember that practice makes perfect. Utilize the official site's documentation for guidance. For practice on using the various utilities outside projects, I recommend using Tailwind Play. - Source: dev.to / 10 months ago
Practice on Tailwind Play It is the official online playground for Tailwind CSS, you can experiment and tryout your design straight away. There is no need to install anything, just start coding. - Source: dev.to / 10 months ago
Thanks! Custom built, it's actually Tailwind CSS that I made on the https://play.tailwindcss.com/ playground lol. You can write HTML with tailwind there, then just copy the "generated CSS" at the bottom, paste it into a style.css, paste your HTML into a index.html, then upload to github pages. All static, no building stuff, just that playground + github pages. The Open Interpreter site is actually open-sourced... - Source: Hacker News / 10 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 / 16 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 - 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.
Shuffle for Tailwind CSS - Tailwind CSS editor for busy developers
Chart.js - Easy, object oriented client side graphs for designers and developers.
Tailwind Builder - Tailwind CSS editor for busy developers
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application