Awesome GitHub RepositoriesImage Pixel Tracking

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

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

本项目是一个 JavaScript 分析集成库和客户端事件收集器，旨在记录用户行为并通过统一接口将数据分发到多个第三方分析目的地。它作为一个客户数据平台，用于识别用户、管理特征，并将事件流路由到各种分析工具和数据仓库。 该库的独特之处在于其多目的地事件路由器和 HTTP 跟踪中间件，可在传输前拦截并修改事件负载。它实现了用于用户识别的身份管理原语、用于合并配置文件的身份别名，以及通过在顶级域名上存储标识符来实现跨子域名跟踪。 系统涵盖了广泛的功能，包括针对页面浏览、表单提交和链接点击的用户交互监控，以及通过 UTM 参数提取进行的营销活动跟踪。为保证可靠性，它利用事件请求批处理、基于本地存储的带指数退避的重试队列，以及浏览器 keepalive 标志，以确保页面重定向期间的数据捕获。 该库还支持针对限制 JavaScript 执行环境的跟踪像素，并提供集成 URL 混淆机制以防止请求被拦截。