Minimal Analytics

Abstract

1. Introduction

This project aims to provide minimal implementations of popular analytics libraries. It's aimed at users who want to reduce the impact of third-party JavaScript on their project, without losing core analytics data. If you require more advance tracking, it's recommended to use the official library instead.

2. Objective

Minimal versions of popular analytics libraries. Reduce the impact of third-party scripts on your application.

This project demonstrates how TypeScript, JavaScript can be applied to a real-world Digital Marketing & SEO 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/jahilldev/minimal-analytics.git
cd minimal-analytics

Full setup instructions are in the project README.

7. Future Enhancements

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

• Export reports to Google Sheets or PDF
• Schedule weekly automated reports
• Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which marketing or SEO problem does this tool solve?
2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
3. Which metrics or KPIs does it report and how are they calculated?
4. How could the output help a business make decisions?
5. How would you schedule it to run automatically?

9. Source Code & License

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