9 个仓库
Tools for monitoring visitor behavior, page views, and conversion goals.
Distinguishing note: General category for traffic monitoring and engagement insights.
Explore 9 awesome GitHub repositories matching data & databases · Website Analytics. Refine with filters or upvote what's useful.
这是一个由社区策划的开源软件目录,专为在私有服务器环境和家庭实验室中部署而设计。它作为发现主流云服务独立自托管替代方案的综合资源,使用户能够保持对数字基础设施的完全数据所有权和控制权。 该目录通过层级分类法构建,将庞大的应用程序集合组织成逻辑类别,范围从媒体管理和数据分析到私有通信和团队生产力工具。它通过协作同行评审流程脱颖而出,社区成员验证每个提交的质量和相关性,以确保目录保持准确和可靠。 该项目涵盖了广泛的能力领域,包括基础设施自动化、基于容器的服务部署和声明式配置管理。这些工具协助用户维护可复现的服务器环境,并管理私有硬件上的复杂服务依赖。 该目录作为版本控制仓库进行维护,确保所有更新和社区驱动的变更都是可追踪且透明的。
Captures and stores website activity data in a private database to maintain ownership of user behavior insights.
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.
Provides a full suite of tools for monitoring website visitor behavior, page views, and engagement metrics.
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
Queries historical and real-time traffic data including visitor counts, bounce rates, and conversion metrics via a single interface.
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
Tracks and analyzes website visitor behavior, traffic patterns, and conversion funnels.
This project is a modular, terminal-based dashboard framework designed to aggregate and display real-time information within a grid-aligned interface. It functions as a centralized monitoring tool that translates data from local system resources, infrastructure services, and external web APIs into a unified, text-based display. The dashboard is distinguished by its plugin-based architecture, which allows users to encapsulate distinct data sources and display logic into isolated, independently managed modules. Users define their workspace through declarative configuration files or an interacti
Aggregates and displays visitor metrics from analytics accounts to monitor website traffic.
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
Ships a complete system for monitoring visitor behavior and page views across websites.
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
Monitors visitors, referrers, and page views using a privacy-first approach that avoids cookies.
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
Collects and stores visitor data in a self-hosted system to analyze web traffic and user behavior.
Builder 是一个低代码 Web 平台和内容管理系统,专为响应式网站的可视化构建而设计。它是一款由人工智能驱动的设计工具,能够将自然语言提示词转换为结构化的页面布局,并提供用于实时编辑和组件排列的拖拽式界面。 该平台通过将数据驱动的开发直接集成到设计过程中脱颖而出,允许用户无需手动编码即可将界面元素绑定到后端数据库内容。它支持通过注入自定义脚本和样式表进行扩展,使开发者能够在全局和区块级别修改页面行为及视觉呈现。 除了设计功能,该系统还涵盖了 Web 管理的全生命周期,包括向容器化环境的自动部署和即时发布。它还具备集成监控工具,可通过中央仪表盘跟踪访客参与度和网站流量指标。
Tracks visitor engagement and site traffic metrics through an integrated dashboard.