Privacy-Focused Self-Hosted Analytics

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

Umami is a privacy-focused web analytics platform and open-source visitor tracking tool. It functions as a self-hosted alternative to commercial tracking services, allowing the operation of a private analytics platform on independent infrastructure to maintain ownership and control over visitor data. The platform focuses on monitoring website traffic and analyzing user behavior without using invasive data collection methods. It provides capabilities for mapping user journeys and performing audience segmentation to compare how different visitor cohorts interact with site content.

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

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

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

Rybbit is an open-source, self-hosted web analytics platform designed for comprehensive user behavior tracking and product engagement analysis. It provides a complete suite for monitoring visitor interactions, conversion funnels, and site performance, allowing organizations to maintain full ownership of their data and infrastructure. The platform distinguishes itself through a strong emphasis on privacy-compliant data collection and visual session replay capabilities. It supports advanced traffic routing through custom domains to bypass ad blockers and includes configurable masking tools to p

OpenPanel is a self-hosted product analytics platform designed for tracking user behavior and visualizing product metrics on private infrastructure. It provides a comprehensive system for collecting events across web, mobile, and server environments while ensuring complete ownership of data. The platform distinguishes itself through a privacy-first approach, utilizing cookieless event tracking and regional data residency to simplify regulatory compliance. It integrates large language models via the Model Context Protocol, enabling users to query behavioral data and analyze trends using natura

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

Goatcounter is a privacy-focused web analytics platform designed to be self-hosted on your own infrastructure. It collects visitor statistics like page views, browser information, location, screen size, and referring sites without using cookies or storing any personal data, identifying unique visits through a non-identifiable hash derived from browser and network data. The platform distinguishes itself by offering multiple tracking methods that respect user privacy, including a lightweight JavaScript snippet, an image-based tracking pixel for environments without JavaScript, and the ability t

Countly is a self-hosted product analytics and engagement platform that tracks user behavior across mobile, web, and desktop applications. It collects and analyzes device properties, user actions, and session lifecycle data to understand engagement patterns, while also providing crash reporting, push notification delivery, and A/B testing capabilities. The platform is designed for privacy-first deployment, with built-in consent management and the ability to run entirely on private infrastructure. The platform distinguishes itself through its comprehensive feature set that combines analytics w

PostHog is a comprehensive product analytics and feature management platform designed to capture, process, and visualize user behavior data. It provides a unified suite for tracking application events, managing feature rollouts, and monitoring system health through session recordings and error tracking. By leveraging a columnar-storage-optimized architecture, the platform enables high-performance aggregation and filtering across massive event datasets. What distinguishes PostHog is its integrated approach to data pipelines and application control. It features a robust event ingestion system t