Umami

Umami provides web‑traffic analytics without collecting personal identifiers or using cookies, offering a privacy‑centric alternative to traditional services. It records page views, referrers, and device information, and presents the data through a lightweight dashboard that can be accessed locally or via a hosted instance. The software runs on a Node.js server together with a PostgreSQL database, and can be deployed directly from source or through provided Docker images and a Docker‑Compose configuration.

The tool is aimed at developers, site owners, and organizations that need basic usage metrics while avoiding third‑party tracking and complying with privacy regulations. Its simple setup—requiring a single environment file and an initial admin login—makes it suitable for small to medium projects as well as larger deployments that prefer self‑hosting. Because it is open source under the MIT license, users can modify, extend, or audit the code without subscription fees.

Key distinguishing aspects include its cookie‑free design, fast performance, and the ability to run entirely on private infrastructure. The project is actively maintained, with a stable release, built CI pipelines, and community support channels on GitHub, Discord, and social platforms.