Umami is presented as a simple, fast, privacy-focused alternative to Google Analytics. Here are some of its key features and aspects:

• Focus: Umami is designed as a privacy-focused alternative to Google Analytics.

• Installation:

  • It can be installed from source using Node.js (version 18.18 or newer), Yarn, and a database. Supported databases include MariaDB (minimum v10.5), MySQL (minimum v8.0), and PostgreSQL (minimum v12.14).

  • It can also be installed using Docker with images for PostgreSQL or MySQL support.

• Configuration:

  • Configuration requires creating a .env file with the database connection URL.

  • The application is launched on http://localhost:3000 by default.

• Updating:

  • Updates can be done by pulling the latest code, installing new dependencies, and rebuilding.

  • Docker images can be updated by pulling the new images and rebuilding.

• Technology: Umami is primarily built using TypeScript (90.8%), along with CSS (5.5%) and Javascript (3.5%).

• Community: Umami has a substantial community with 24.1k stars, 4.5k forks, 112 watchers, and 289 contributors.

• Licensing: Umami is released under the MIT license.

• Development: The source code, issues, pull requests, discussions, actions, projects, wiki, security, and insights are all available on the GitHub repository.

In summary, Umami is a web analytics tool that prioritizes user privacy and offers a simpler alternative to Google Analytics. It is available for installation from source and via Docker, and it has an active open source community.