9 个仓库
Analytical tools focused on tracking user behavior and feature engagement within a software product.
Explore 9 awesome GitHub repositories matching data & databases · Product Usage 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。
Collects privacy-focused analytics data to understand user behavior in mobile and desktop applications.
Stirling-PDF is a self-hosted document processing suite designed for secure, private file management. It functions as a comprehensive transformation engine that executes complex operations—such as merging, splitting, converting, and redacting documents—directly on the host machine. The platform provides both a browser-based interface for interactive editing and a programmatic, API-first architecture that allows for the automation of document workflows through standard HTTP requests. The project distinguishes itself through its focus on private, infrastructure-agnostic deployment and granular
Tracks system metrics and feature engagement using privacy-conscious analytics services.
This project provides a framework for managing multi-agent systems, designed to automate complex software development, infrastructure, and business workflows. It functions as a multi-agent workflow orchestrator that routes tasks to domain-specific workers while maintaining state persistence and infrastructure automation. By leveraging large language models, the system decomposes high-level objectives into actionable plans, ensuring that complex operations are executed with consistency and reliability. The framework distinguishes itself through its hierarchical agent registry and policy-driven
Defines success metrics and monitors performance through funnel analysis, A/B testing, and dashboard tracking to drive data-informed product iterations.
OpenReplay is a session replay platform and frontend debugging suite designed to record and play back user browser sessions. It functions as a user behavior monitoring system that captures interaction patterns and technical metadata to identify conversion issues and revenue loss. The platform is distinguished by its self-hosted infrastructure model, allowing the recording and analytics pipeline to be deployed on private servers for full control over data residency. It also includes a browser co-browsing tool for real-time screen sharing and direct communication to provide immediate technical
Provides analytical tools to track user behavior and identify conversion issues or revenue loss.
OpenALPR is a computer vision platform designed to identify vehicle license plates and attributes from live video streams or static images. It functions as an intelligent access control and analytics system, enabling the automation of security monitoring, parking facility management, and operational workflows through real-time vehicle detection. The platform distinguishes itself by supporting international license plate formats and regional configuration mapping, allowing for deployment across diverse geographic standards. It integrates directly with existing network camera infrastructure, pe
Tracks arrival patterns and demographics to provide actionable insights into property usage.
This project is a full-stack TypeScript framework and boilerplate designed for building subscription-based software services. It provides a pre-configured development environment that integrates a React frontend with a Node.js and Express server and a MongoDB data layer. The framework includes integrated modules for managing subscription billing, multi-tenant user management, and secure identity verification via social logins and passwordless authentication. It further enables real-time application synchronization through a WebSocket server for bidirectional data streaming between clients and
Tracks application usage and feature engagement by integrating with external behavioral analytics services.
该项目是一个分析框架和软件的精选目录,旨在帮助用户发现用于衡量用户行为、SEO 性能和移动应用程序指标的工具。它作为一个按特定用例和跟踪需求组织的综合资源列表。 该目录包含一个专注于优先考虑数据保护的隐私保护分析软件的分类索引。它涵盖了广泛的领域,包括用于跟踪用户旅程的产品分析、用于有机搜索可见性的 SEO 性能监控,以及通用的 Web 和移动跟踪。 该集合以一组 Markdown 文件形式维护,并通过版本控制系统进行管理。
Catalogs frameworks for tracking user journeys and feature engagement to improve digital products.
vibe-vibe is an LLM agent engineering framework and toolchain optimizer designed for orchestrating multi-agent systems. It serves as a comprehensive guide and methodology for transforming conceptual ideas into deployed applications through agentic software engineering. The project focuses on the orchestration of specialized AI agent roles with defined collaboration boundaries and iterative feedback loops. It provides frameworks for toolchain optimization, including the selection and evaluation of protocols that extend model capabilities and the design of standardized tool interfaces. The sys
Combines quantitative usage metrics with qualitative feedback to identify user friction points and improve the product.
This project serves as a centralized repository and management platform for custom drawing assets used in collaborative diagramming environments. It provides a structured system for packaging, distributing, and discovering reusable shapes and components, ensuring that visual elements remain consistent and accessible across different design workflows. The platform distinguishes itself by integrating validation and analytics tools directly into the asset lifecycle. It enforces compatibility through schema-based validation of library files and maintains a searchable index of community-contribute
Tracks engagement and popularity metrics for shared diagramming components.