Analytics

Abstract

1. Introduction

An Open Source, privacy-focused and progressive analytics service.

cookie-less analytics that collect only anonymized data.

Google Analytics) and single pixel image returned for javascript less tracking is 35 bytes.

2. Objective

◢ High-perfomance, self-hosted and privacy-focused web analytics service. Written in Go.

This project demonstrates how TypeScript, Go 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
• Go 1.20 or later
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/prismelabs/analytics.git
cd analytics

<script src="https://<your-prisme-instance-hostname>/static/wa.js" defer></script>
<noscript>
    <img src="https://<your-prisme-instance-hostname>/api/v1/noscript/events/pageviews" style="position:absolute;top:-100px">
</noscript>

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 prismelabs and published on GitHub under the GNU Affero General Public License v3.0. Please follow the license terms and credit the original author when you use or modify this code.