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Official repository for Open Web Analytics which is an open source alternative to commercial tools such as Google Analytics. Stay in control of the data you collect about the use of your website or app. Please consider sponsoring this project.
The main features of padams/open-web-analytics are: Analytics and Reporting, Analytics Platforms, General Analytics, Advertising APIs.
Projects with overlapping indexed features include: arp242/goatcounter — Goatcounter is a self-hosted web analytics platform that collects visitor statistics without cookies, personal data,… countly/countly-server — Countly is a self-hosted product analytics and engagement platform that tracks user behavior across mobile, web, and… cube-js/cube — Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and… deepnote/deepnote — Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data… eldy/awstats — AWStats Log Analyzer project (official sources). allinurl/goaccess — This project is a terminal-based log analyzer and real-time traffic monitoring system designed for web server…
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
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
Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and relationships across diverse data sources. By acting as a headless business intelligence engine, it transforms raw data into a governed model that can be queried via SQL, REST, and GraphQL interfaces. This architecture ensures consistent data definitions and logic across all downstream analytical applications and reporting tools. The platform distinguishes itself through its integrated conversational AI capabilities, which allow users to explore data using natural language. It orches
This project is a terminal-based log analyzer and real-time traffic monitoring system designed for web server environments. It processes raw server access logs to generate structured statistical insights, providing visibility into visitor behavior, bandwidth usage, and request latency. The tool functions as a high-performance utility capable of handling large-scale datasets through multi-threaded parsing and memory-efficient data structures. The software distinguishes itself by offering both an interactive terminal interface and a web-based dashboard that updates in real-time via WebSocket st