umami - Umami offers a swift, privacy-centered alternative for web analytics

Umami: A Privacy-Focused Analytics Solution

Umami presents itself as a straightforward, rapid, and privacy-conscious alternative to Google Analytics. For those seeking a tool that respects user privacy without sacrificing functionality, Umami stands out as an efficient choice.

Key Features of Umami

Privacy-Focused: Unlike many analytics tools, Umami prioritizes user privacy. It doesn’t track personal data, making it a reliable option for privacy-conscious individuals or organizations.
Open Source: Available under the MIT License, Umami is open source, enabling users to customize and adapt the tool to their specific needs.
Compatibility: Umami supports multiple databases, including MariaDB, MySQL, and PostgreSQL, offering flexibility depending on the user's existing infrastructure.
High Performance: Designed for speed and ease of use, Umami provides a responsive and efficient analytics experience.

Getting Started

To get started with Umami, users can access a detailed guide available at umami.is/docs. This resource offers comprehensive instructions to help users set up and configure their analytics platform effectively.

Installation from Source

Installing Umami from its source involves a few steps:

Requirements: A server running Node.js version 16.13 or newer and a database such as MariaDB, MySQL, or PostgreSQL.
Install Yarn: The package manager can be installed globally using the command npm install -g yarn.
Source Code and Packages: Clone the repository and install necessary packages by executing:
```
git clone https://github.com/umami-software/umami.git
cd umami
yarn install
```
Configuration: Set up a .env file to configure the database connection.
Build and Start: After setting up configurations, build the application to initialize the database and start the application using:
```
yarn build
yarn start
```

Docker Installation

For a simplified setup:

Building with Docker: Utilize docker compose up -d to build the Umami container alongside a Postgres database.
Docker Image: Pull the image tailored for PostgreSQL or MySQL depending on your preference.

Updating Umami

To stay updated with the latest features and improvements:

For source installations, pull the latest code changes, install any new dependencies, and rebuild.
For Docker installations, pull the latest images and recreate the containers.

Community and Support

Umami thrives on community interaction and offers several platforms for support, including GitHub, Twitter, LinkedIn, and Discord. Users can engage with the community and developers for any assistance or contributions they wish to make.

In conclusion, Umami stands as a robust, privacy-focused analytics solution, providing users with a reliable alternative to mainstream options like Google Analytics. Whether one is concerned about privacy, interested in open-source software, or simply wants a high-performing analytics tool, Umami checks all these boxes.