cat-api

🐱 A program that sends cats to my phone when I'm sad at the computer.

Telegram bot made with python just for fun and with a lot of love <3.

A discord bot for anything cat related!

Cat as a Service API

Challenge: Create my CatWiki app. Use Front-end libraries like React or Vue.js.

Website for interacting with the Cat API using Node, Express & React. Deployed on Heroku 🐱

A simple wrapper made in swift for Nekosia API

Dcard 每日一貓

Cool Cat app built with Next.js!

Ce projet consiste en la réalisation d'un bot Discord. Ce dernier devra réaliser différentes interactions (commandes), nous utiliserons différentes API afin d'améliorer ses capacités de fonctionnement. Ce bot sera exécuté depuis un Raspberry Pi, mais vous pouvez le lancer depuis n'importe quelle autre plateforme (Windows, Mac, Linux, autre carte…

Fake Backend for my Catstagram examples

Looking for cat breeds with React.js and Redux

CIS 436 Project 3

A React application that displays cat facts paired with random user profiles, featuring infinite scroll pagination and real-time data fetching.

A cat image collection app demonstrating modern React patterns, accessible design, and comprehensive testing. Built with React 19, TypeScript, Tailwind CSS v4, and TanStack Query for the Angel Studios Senior FE interview.

🐱 SwiftUI iOS app to explore cat breeds with photos, traits, and favorites. Powered by The Cat API.

Modern Telegram bot and web platform for exploring cat photos via The Cat API. Features include random cats, breed information, like system, leaderboard, and real-time updates via WebSocket. Built with Node.js, Express, Telegraf, Prisma ORM, and Redis.

Google-style, multilingual UI to search, fetch, and customize cat images via the CATAAS API. Supports tags, GIFs, text overlays, filters (blur/mono/negate/custom), HSL/RGB tweaks, size and dimension controls, and an 'I'm Feeling Lucky' option with automatic random-cat fallback.

Built a React-based web application integrating 4 external APIs to display dynamic real-time data. Implemented modular components, asynchronous data fetching, and responsive UI using modern frontend practices. Developed using Lovable AI as part of an academic project.