Dashflare

🕵🏼‍♀️ Open Source and privacy-focused analytics solution. 📊 Advanced monitoring for your website behind Cloudflare

Digital Marketing & SEOTypeScriptApache-2.0

Abstract

Dashflare is an open-source Digital Marketing & SEO project. 🕵🏼‍♀️ Open Source and privacy-focused analytics solution. 📊 Advanced monitoring for your website behind Cloudflare. Dashflare is a privacy first analytics solution for monitoring your websites. It can be self hosted on a practically any hosting solution and it should scale with your needs. It is built using TypeScript. The complete source code is publicly available on GitHub under the Apache License 2.0, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.

1. Introduction

Dashflare is a privacy first analytics solution for monitoring your websites. It can be self hosted on a practically any hosting solution and it should scale with your needs. Data collection is handled by a Cloudflare Edge Worker running the code included in this repository.

One requirement to use the current solution is to be already using Cloudflare for the website that you want to monitor.

2. Objective

🕵🏼‍♀️ Open Source and privacy-focused analytics solution. 📊 Advanced monitoring for your website behind Cloudflare

This project demonstrates how TypeScript can be applied to a real-world Digital Marketing & SEO problem.

4. Technology Stack

TypeScript

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
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/jorgelbg/dashflare.git
cd dashflare
❯ docker-compose up

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 jorgelbg 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.

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