A web app that shows a graph for the number of subscribers of each of the Hololive members.

Vue.js application that allows users to search for random images using the Unsplash API and extract the colors from them.

La mejor aplicación para detectar colores en una imagen.

Web application that allows users to upload an image and generate a color palette from it.

The Dominant Color Extractor is a simple Python application that allows you to extract the dominant color from an image file. It provides a user-friendly graphical interface built with CustomTkinter, making it easy for anyone to use.

PalettePro is a web application built with Next.js 14, Tailwind, TypeScript, and ColorThief, offering users an intuitive color palette generation experience. Upload an image, and it will extract hex color names and generate palettes for your creative projects.

✨ A mini-project for doing Hirst Spot Painting on screen, done using 🐍 Python. ✨

ColorHunt is a web application developed using Next.js 14, Tailwind CSS, TypeScript, and ColorThief. It provides users with an intuitive experience for generating color palettes. By uploading an image, ColorHunt extracts hex color values and generates palettes suitable for various creative projects.

Programed a photo gallery where the user can upload and delete photos.

Colorthief but with modern codes

🏕️ YelpCamp2020 is my first Node.js web app following The Web Developer Bootcamp by Colt Steele, alongside some tweaks of my own.

Using the colorthief library, we have produced a software that, by entering a photo, gives us the six color spectrums used in the photo. You can copy any color hex

A Flutter plugin that grabs the dominant color or a representative color palette from an image.

Java Maven Music Player with beautiful UI and customization

Project on third party package ColorThief for UWP application

Hexadecimal color definition from images with python

Random and fun school project made in 2021 that maps artworks to your uploaded image.

Module for pixelizing your image. Experiment with pixel and pallete sizes to get better results!

A website that finds the 4 most common colours in an uploaded image.