Litlyx

Abstract

1. Introduction

Sign up on Litlyx.com and create a project. Then use your workspace_id to connect Litlyx to your website.

Litlyx works with all modern JavaScript and TypeScript frameworks. You can also use Litlyx on any WordPress website by injecting the script with a third party plugin.

Litlys is the easiest analytics tool you will ever use. It is fast, modern and completely cookie free. Install in under 30 seconds. Self host with Docker or use our hosted cloud. A powerful alternative to Google Analytics 4, Posthog and Mixpanel.

2. Objective

Powerful Analytics Solution. Setup in 30 seconds. Display all your data on a Simple, AI-powered dashboard. Fully self-hostable and GDPR compliant. Alternative to Google Analytics, MixPanel, Plausible, Umami & Matomo.

This project demonstrates how TypeScript, Angular, JavaScript can be applied to a real-world Data Science problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Node.js (LTS) and npm / yarn / pnpm
• VS Code or any code editor
• Node.js (LTS) and npm
• A modern web browser
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/Litlyx/litlyx.git
cd litlyx

<script defer data-workspace = "workspace_id"
src = "https://cdn.jsdelivr.net/npm/litlyx-js@latest/browser/litlyx.js"></script>

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Turn the analysis into an interactive dashboard
• Automate data refresh with a scheduled job
• Add a predictive model on top of the analysis

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. What is the source of the dataset and how was missing data handled?
2. Which exploratory analysis steps revealed the most useful insight?
3. Why were these particular charts chosen to present the data?
4. Which statistical or ML technique supports the conclusions?
5. How could the analysis be automated or refreshed with new data?

9. Source Code & License

This project is developed by Litlyx and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.