Privacy friendly website analytics with Umami and NextJS

• Umami

  47 15,947 9.8 JavaScript

  Umami is a simple, fast, privacy-focused alternative to Google Analytics.

  

  First of all, we must fork the repository. This will help us make changes to the source code to fit our own needs and more importantly, receive updates in the future (as we will see later in the tutorial). Head over to the Umami GitHub repository and click on fork on the top-right corner -

• umami-tutorial

  0 0 0.0 CSS

  Repository for this tutorial

• SonarQube

  www.sonarqube.org

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• vercel

  258 10,699 9.9 TypeScript

  Develop. Preview. Ship.

  

  I am naming this "Umami Tutorial" but you can name it whatever you want to. In the next field, make sure to enter the domain and NOT THE URL to the website. Note that I have quickly created a GitHub repository and deployed this NextJS app to Vercel. I have also checked "Enable Share URL" so that I can share the analytics for this website with you guys 😁

• Fathom Analytics

  31 7,285 0.0 Go

  Fathom Lite. Simple, privacy-focused website analytics. Built with Golang & Preact.

  

  Over the years, many privacy-friendly analytics solutions have emerged including Fathom Analytics, Plausible Analytics, and Umami Analytics. The last 2 are open-source and all 3 of them are cookie-less and have a lightweight script that should not affect website load times.

• Plausible Analytics

  102 15,048 8.1 Elixir

  Simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.

  

  Over the years, many privacy-friendly analytics solutions have emerged including Fathom Analytics, Plausible Analytics, and Umami Analytics. The last 2 are open-source and all 3 of them are cookie-less and have a lightweight script that should not affect website load times.

• HomeBrew

  516 36,210 10.0 Ruby

  🍺 The missing package manager for macOS (or Linux)

  

  You can also install it with Homebrew with the following command -

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