
Tailwind CSS
Bootstrap
React
Tailwind UI
Bulma
DaisyUI
Vue.js
Vercel
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Tailwind CSS
PlotlyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
I use it in all my current projects. It's easy to start and very customisable. Love it so much! I improved the speed of development 2x times by using Tailwind.
Based on our record, Tailwind CSS seems to be a lot more popular than Plotly. While we know about 1062 links to Tailwind CSS, we've tracked only 34 mentions of 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.
UIAble is a free, open-source UI component library built with Tailwind CSS, Shadcn-style architecture, and Base UI principles. The idea is straightforward: reusable components should stay flexible, readable, and easy to maintain. - Source: dev.to / 14 days ago
eBay: 30+ fields (item specifics, variations, shipping) Each schema is a JSON file defining field names, data types, and validation rules. The mapper walks source โ target assignments and applies type coercion (string โ number, date formatting, etc.) before export. The entire app stays under 200 KB gzipped by avoiding heavy UI libraries. It's built with Preact + htm (no JSX build step) and styled with Tailwind CSS... - Source: dev.to / about 1 month ago
In this tutorial, we'll build a real-world admin dashboard component using Tailwind CSS, based on the AdminOS template. You'll learn essential Tailwind concepts while creating something useful. - Source: dev.to / about 2 months ago
Packages/ui โ shared component library built with Tailwind v4, consumed directly from source by both Next.js apps. - Source: dev.to / 2 months ago
Tailwind CSS provides us with a token-based design system for CSS that allows us to flexibly design our pages. - Source: dev.to / 2 months ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - 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 / about 2 years ago
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
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.
React - A JavaScript library for building user interfaces
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Tailwind UI - Beautiful UI components by the creators of Tailwind CSS.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.