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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
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
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 system utilizes a Preact-based dashboard interface for visualizing traffic patterns and reports. Data is persisted in a SQL database analytics store, with support for MySQL, PostgreSQL, and SQLite. The project covers the collection of visitor data via lightweight tracking snippets and the management of that data through a pluggable storage layer. It includes m
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
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 main features of electerious/ackee are: Privacy-Focused Analytics, MongoDB Persistence, Traffic Analysis, Website Analytics, Self-Hosted Deployments, User Privacy Protection, Visitor Behavior Trackers, Custom Visualizations.
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… arp242/goatcounter — Goatcounter is a self-hosted web analytics platform that collects visitor statistics without cookies, personal data,… usefathom/fathom — Fathom is a privacy-focused website analytics server written in Go. It monitors website traffic and page views without… matomo-org/matomo — Matomo is a self-hosted web analytics platform designed to track user behavior and website performance while… umami-software/umami — Umami is a self-hosted, privacy-focused web analytics platform designed to provide full control over infrastructure… allinurl/goaccess — This project is a terminal-based log analyzer and real-time traffic monitoring system designed for web server…