Impalette - Showcase Project

Project Overview

I made this in my spare time because I often work with clients who are small and lack a style guide, but have images that contain colors they would like in their final product. This is a quick way for me to figure out colors that will look good on print or paint and get their actual color names. If anyone has any questions about how this works or how I did it, I'm very open to answering questions. Impalette is an Azure hosted web app that allows artists, designers, web developers, and other...

Detailed Description

I made this in my spare time because I often work with clients who are small and lack a style guide, but have images that contain colors they would like in their final product. This is a quick way for me to figure out colors that will look good on print or paint and get their actual color names. If anyone has any questions about how this works or how I did it, I'm very open to answering questions.

Impalette is an Azure hosted web app that allows artists, designers, web developers, and other creative professionals to upload images to find the nearest neighbors of dominant and related colors to predefined color palettes such as Pantone C. Impalette is different than other palette generators because 1) it maps to predefined popular color palettes and 2) there are controls that allow users to scan for specific brightness and saturation ranges to get exactly the colors you are looking to extract.

Currently, Impalette has Pantone C, Sherwin Williams, and Dunn Edwards. I plan on adding more as I find palettes. Additionally, you get back the color names from the respective palettes as well as the hex values.

There’s also an API that allows 1000 requests per day. It’s one endpoint and pretty easy to use. There’s some light documentation on the landing page (just create an account to get access to the API). The API returns Hex, HSV, RGB, and the color’s palette specific name. I think this could be a really cool way to automatically tag images by color or generate dynamic page coloring based on the contents of an image.

Thanks for your interest and I hope someone finds it useful! If you have any questions, I'd be happy to answer them.

Technologies used: -Redis -ASP.NET MVC -jQuery -Azure

Content Freshness & Updates

Project Timeline

Created: April 27, 2016 at 11:55 PM (9 years ago)

Last Updated: December 8, 2025 at 11:04 AM (1 week ago)

Update Status: Updated 1.3 weeks ago - Moderately fresh

Version Information

Current Version: 1.0 (Initial Release)

Development Phase: Innovation Stage - Demonstrating cutting-edge capabilities

Activity Indicators

Project Views: 1,818 total views - Active engagement

Content Status: Published and publicly available

Content Freshness Summary

This project information was last updated on December 8, 2025 and represents the current state of the project. The content is recent and provides current project information. The project shows active engagement with 1,818 total views, indicating ongoing interest and relevance.

Visual Content & Media

Project Screenshots & Interface

The following screenshots showcase the visual design and user interface of Impalette:

Screenshot 1: Main Dashboard & Primary Interface

This screenshot displays the main dashboard and primary user interface of the application, showing the overall layout, navigation elements, and core functionality. The interface demonstrates the modern design principles and user experience patterns implemented using Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning.

Live Demo & Interactive Experience

Live Demo URL: https://www.impalette.com

Experience Impalette firsthand through the live demo. This interactive demonstration allows you to explore the application's features, test its functionality, and understand its user experience. The live demo showcases the website application's technical capabilities implemented with Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning and real-world performance, providing a comprehensive understanding of the project's value and potential.

Visual Content Summary

This project includes 1 screenshotno videos plus a live demo, providing comprehensive visual documentation of the website application. The media content demonstrates the project's technical implementation using Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning and user interface design, showcasing both the visual appeal and functional capabilities of the solution.

Technical Specifications & Architecture

Technology Stack & Implementation

Primary Technologies: Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning

Technology Count: 4 different technologies integrated

Implementation Complexity: Medium - Moderate integration effort with multi-skill development

Technology Analysis

Microsoft Azure: Modern technology component for enhanced functionality and performance
Redis: In-memory data structure store for caching and session management
c# - asp.net mvc: Modern technology component for enhanced functionality and performance
Machine Learning: Modern technology component for enhanced functionality and performance

System Architecture & Design

Architecture Type: Website Application

Architecture Pattern: Modern Software Architecture with scalable design patterns

Scalability & Performance

Scalability Level: Standard - Scalable architecture ready for growth

Security & Compliance

Security Level: Standard security practices for development projects

Security Technologies: Modern security practices and secure coding standards

Data Protection: Standard data protection practices for user information and application data

Integration & API Capabilities

Live Integration: https://www.impalette.com - Active deployment with real-world integration

API Technologies: Modern API development with standard RESTful practices

Integration Readiness: Showcase-ready for demonstration and integration examples

Development Environment & Deployment

Deployment Status: Live deployment with active user base

Technical Summary

This website project demonstrates advanced technical implementation using Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning with innovative showcase potential. The technical foundation supports demonstration and learning with modern security practices and scalable architecture.

Common Questions & Use Cases

How to Build a website Project Like This

Technology Stack Required: Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning

Development Approach: Build a scalable software solution with modern architecture patterns and user-centered design.

Step-by-Step Development Guide

  1. Planning Phase: Define requirements, user stories, and technical architecture
  2. Technology Setup: Configure Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning development environment
  3. Core Development: Implement main functionality and user interface
  4. Testing & Optimization: Test performance, security, and user experience
  5. Deployment: Deploy to production with monitoring and analytics

Best Practices for website Development

Technology-Specific Best Practices

Microsoft Azure Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
Redis Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
c# - asp.net mvc Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
Machine Learning Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.

General Development Best Practices

  • Code Quality: Write clean, maintainable code with proper documentation
  • Security: Implement authentication, authorization, and data protection
  • Performance: Optimize for speed, scalability, and resource efficiency
  • User Experience: Focus on intuitive design and responsive interfaces
  • Testing: Implement comprehensive testing strategies
  • Deployment: Use CI/CD pipelines and monitoring systems

Use Cases & Practical Applications

Target Audience & Use Cases

Learning Use Cases: Excellent for developers learning Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning, students studying website, or professionals seeking inspiration for their own projects.

Comparison & Competitive Analysis

Why Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning?

This project uses Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning because:

  • Technology Synergy: The combination of Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning creates a powerful, integrated solution
  • Community Support: Large, active communities for ongoing development and support
  • Future-Proof: Modern technologies with long-term viability and updates

Competitive Advantages

  • Modern Tech Stack: Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning provides competitive technical advantages
  • Technical Excellence: Demonstrates cutting-edge implementation and best practices

Learning Resources & Next Steps

Learn Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning

To understand and work with this project, consider learning:

  • Microsoft Azure: Official documentation and community learning resources
  • Redis: Official documentation and community learning resources
  • c# - asp.net mvc: Official documentation and community learning resources
  • Machine Learning: Official documentation and community learning resources

Hands-On Learning

Try It Yourself: https://www.impalette.com

Experience the project firsthand to understand its functionality, user experience, and technical implementation. This hands-on approach provides valuable insights into real-world application development.

Project Details

Project Type: Website

Listing Type: Showcase

Technology Stack: Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning

Technical Architecture

Technology Stack & Architecture

This website project is built using a modern technology stack consisting of Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning. The architecture leverages these technologies to create a scalable solution that can handle real-world usage scenarios.

Architecture Type: Website - This indicates the project follows modern software architecture patterns.

Technical Complexity: Multi-technology stack requiring integration expertise

Business Context & Market Position

Innovation Showcase

This project demonstrates innovative approaches to website and showcases cutting-edge implementation techniques. It represents the latest in technology innovation and creative problem-solving.

Development Context & Timeline

Project Development Timeline

This project was created on April 27, 2016 and last updated on December 8, 2025. The project has been in development for approximately 117.3 months, representing 3520.3012594165 days of development time.

Technical Implementation Effort

Implementation Complexity: Medium - The project uses 4 different technologies (Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning), requiring moderate integration effort and multi-skill development.

Market Readiness & Maturity

Innovation Stage: This project represents cutting-edge development and innovative approaches. It showcases advanced technical implementation and creative problem-solving.

Competitive Analysis & Market Position

Market Differentiation

Technology Advantage: This project leverages Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning to create a unique solution in the website space. The technology stack provides cutting-edge technical implementation that sets it apart from traditional solutions.

Market Opportunity Assessment

Competitive Advantages

  • Technical Innovation: Cutting-edge implementation showcasing advanced capabilities
  • Creative Problem-Solving: Unique approaches to common market challenges
  • Technology Leadership: Demonstrates expertise in emerging technologies and methodologies
  • Modern Technology Stack: Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning provides scalability, maintainability, and future-proofing

About the Creator

Developer: User ID 6831

Project Links

Live Demo: https://www.impalette.com

Key Features

  • Built with modern technologies: Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning
  • Showcasing innovative project

Frequently Asked Questions

What is this project about?

Impalette is a website project that I made this in my spare time because I often work with clients who are small and lack a style guide, but have images that contain colors they would like in their final product. This is a quick way for....

What makes this project special?

This project is being showcased to highlight innovative ideas and technical achievements. It demonstrates creative problem-solving and technical expertise.

What technologies does this project use?

This project is built with Microsoft Azure,Redis,c# - asp.net mvc,Machine Learning. These technologies were chosen for their suitability to the project's requirements and the developer's expertise.

Can I see a live demo of this project?

Yes! You can view the live demo at https://www.impalette.com. This will give you a better understanding of the project's functionality and user experience.

How do I contact the project owner?

You can contact the project owner through SideProjectors' messaging system. Click the "Contact" button on the project page to start a conversation about this project.

Is this project still actively maintained?

This project is being showcased, so maintenance status may vary.