How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Fathom is a privacy-focused website analytics server written in Go. It monitors website traffic and page views without collecting personal data or using intrusive cookies, providing a self-hosted alternative for traffic monitoring.
The main features of usefathom/fathom are: Website Analytics, Self-Hosted Analytics Platforms, Event Analytics, Privacy-Focused Analytics, Analytics Tracking, Tracking Snippets, Analytics Data Stores, Database Abstraction Layers.
Projects with overlapping indexed features include: plausible/analytics — This project is an open-source, privacy-focused web analytics platform designed for high-throughput data ingestion and… electerious/ackee — Ackee is a self-hosted web analytics platform designed for tracking website traffic and visitor behavior. It functions… matomo-org/matomo — Matomo is a self-hosted web analytics platform designed to track user behavior and website performance while… arp242/goatcounter — Goatcounter is a self-hosted web analytics platform that collects visitor statistics without cookies, personal data,… umami-software/umami — Umami is a self-hosted, privacy-focused web analytics platform designed to provide full control over infrastructure… getredash/redash — Redash is a self-hosted analytics platform and SQL data visualization tool. It provides a web-based SQL query editor…
This project is an open-source, privacy-focused web analytics platform designed for high-throughput data ingestion and multi-tenant data management. It provides a cookie-less tracking engine that captures visitor interactions using ephemeral request metadata, ensuring comprehensive traffic visibility while maintaining strict privacy standards. The architecture utilizes an event-driven ingestion pipeline and aggregated metric storage to decouple data collection from processing, enabling efficient long-term retrieval and responsive dashboard performance. What distinguishes this platform is its
Ackee is a self-hosted web analytics platform designed for tracking website traffic and visitor behavior. It functions as a privacy-first visitor tracker that allows for the collection of engagement metrics without relying on third-party cloud providers. The platform ensures data ownership through a self-hosted deployment model. It includes an analytics data API that provides a queryable interface for fetching detailed visitor data to create custom reports and external visualizations. The system covers web traffic analysis and privacy-focused user tracking. It supports the generation of tail
Matomo is a self-hosted web analytics platform designed to track user behavior and website performance while maintaining full data ownership. It functions as a comprehensive analytics suite that captures visitor interactions and processes raw tracking logs into structured metrics, providing organizations with a centralized system for monitoring traffic patterns and engagement. The platform distinguishes itself through a strong emphasis on privacy and modularity. It includes built-in tools to anonymize visitor information and manage user consent, ensuring compliance with global data protection
Goatcounter is a self-hosted web analytics platform that collects visitor statistics without cookies, personal data, or persistent identifiers. It uses privacy-preserving techniques like anonymous session hashing to count page views and visits, and can be deployed on your own infrastructure using a binary or Docker container with SQLite or PostgreSQL storage. The platform offers multiple data collection methods, including a lightweight JavaScript snippet, an image-based tracking pixel for environments where scripts are blocked, and server log file parsing from nginx, Apache, Caddy, or CloudFr