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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 main features of matomo-org/matomo are: Web Analytics Platforms, Privacy-Focused Analytics, Website Analytics, Data Privacy Management, Business Intelligence Tools, Visitor Behavior Tracking, Analytics, Analytics Platforms.
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… usefathom/fathom — Fathom is a privacy-focused website analytics server written in Go. It monitors website traffic and page views without… electerious/ackee — Ackee is a self-hosted web analytics platform designed for tracking website traffic and visitor behavior. It functions… umami-software/umami — Umami is a self-hosted, privacy-focused web analytics platform designed to provide full control over infrastructure… rybbit-io/rybbit — Rybbit is an open-source, self-hosted web analytics platform designed for comprehensive user behavior tracking and… arp242/goatcounter — Goatcounter is a self-hosted web analytics platform that collects visitor statistics without cookies, personal data,…
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
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
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
Umami is a self-hosted, privacy-focused web analytics platform designed to provide full control over infrastructure and user data. It captures website traffic and visitor behavior through anonymous tracking methods that avoid cookies, browser fingerprinting, and the storage of personally identifiable information. The platform distinguishes itself through a comprehensive suite of behavioral analysis tools, including session replays, heatmaps, and cohort-based retention reporting. It features a multi-tenant architecture that allows teams to manage multiple websites within a single, collaborativ