Search current weather, future forecasts, view radar, and more for your city in this responsive web app built with the Django framework.
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Jun 1, 2024 - CSS
Tailwind is an utility-first CSS framework for rapid UI development written in PostCSS and configured through JavaScript, making it highly customizable by design. Tailwind doesn’t have a default theme nor built-in UI components. This means it has no opinion about how your site should look and doesn’t impose design decisions that can be difficult to undo.
Search current weather, future forecasts, view radar, and more for your city in this responsive web app built with the Django framework.
Around Within is a Web Platform which is a initiative to be developed,learn and grow to interns hosted by Zummit Infolabs Pvt.Ltd .Here you are going to Learn/develop a different Components from scratch in the span of 4 months.
Hey is a decentralized and permissionless social media app built with Lens Protocol 🌿
EVM Smart Contract Explorer. Discover and track EVM smart contract data.
Projeto de e-commerce usando o Next.js 14 com Server Components.
Preline UI is an open-source set of prebuilt UI components based on the utility-first Tailwind CSS framework.
A project template for Vite + TypeScript + Rust + React + Tailwind CSS + Blueprint apps 🚀
"PromptHub" is a web platform designed for sharing prompts. It provides a space for users to post and explore various prompts that can be used for creative writing, brainstorming, or any context that requires a starting point.
Realtime BirdNET soundscape analyzer
A Kanban board built with TypeScript and Next.js, for full-stack development, TailwindCSS for UI and responsiveness, PostgreSQL and Prisma ORM for data management. Users can create and manage tickets with drag-and-drop functionality. Vercel edge functions for config-driven UI. Storybook for smooth component development and testing.
Portfolio: built with Django, Tailwind CSS, and PostgreSQL.
A fluid clamp() plugin for Tailwind that works with every utility.
This website provides a platform for users to predict their likelihood of developing diabetes based on various factors.
Created by Adam Wathan, Jonathan Reinink, David Hemphill, Steve Schoger
Released October 2017
Latest release 2 months ago