9 Repos
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.
Dieses Projekt ist ein von der Community kuratiertes Verzeichnis von Open-Source-Software, die für den Einsatz in privaten Serverumgebungen und Home-Labs konzipiert ist. Es dient als umfassende Ressource zur Entdeckung unabhängiger, selbst gehosteter Alternativen zu gängigen Cloud-Diensten und ermöglicht es Nutzern, die volle Datenhoheit und Kontrolle über ihre digitale Infrastruktur zu behalten. Das Verzeichnis ist durch eine hierarchische Taxonomie strukturiert, die eine riesige Sammlung von Anwendungen in logische Kategorien organisiert, von Medienmanagement und Datenanalyse bis hin zu privater Kommunikation und Tools für die Teamproduktivität. Es zeichnet sich durch einen kollaborativen Peer-Review-Prozess aus, bei dem Community-Mitglieder die Qualität und Relevanz jeder Einreichung validieren, um sicherzustellen, dass das Verzeichnis korrekt und zuverlässig bleibt. Das Projekt deckt ein breites Spektrum an Fähigkeiten ab, einschließlich Infrastruktur-Automatisierung, containerbasierter Service-Bereitstellung und deklarativem Konfigurationsmanagement. Diese Tools unterstützen Nutzer bei der Aufrechterhaltung reproduzierbarer Serverumgebungen und der Verwaltung komplexer Service-Abhängigkeiten auf privater Hardware. Das Verzeichnis wird als versionskontrolliertes Repository gepflegt, wodurch sichergestellt wird, dass alle Updates und Community-gesteuerten Änderungen nachverfolgt und transparent sind.
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.
Dieses Projekt ist ein kuratiertes Verzeichnis von Analyse-Frameworks und Software, das Nutzern helfen soll, Tools zur Messung von Nutzerverhalten, SEO-Performance und mobilen App-Metriken zu entdecken. Es dient als umfassende Ressourcenliste, die nach spezifischen Anwendungsfällen und Tracking-Anforderungen organisiert ist. Das Verzeichnis enthält einen kategorisierten Index mit Fokus auf datenschutzfreundliche Analysesoftware, die den Schutz von Daten priorisiert. Es deckt eine breite Palette von Bereichen ab, darunter Produktanalysen zur Verfolgung von User-Journeys, SEO-Performance-Monitoring für die Sichtbarkeit in organischen Suchergebnissen sowie allgemeines Web- und Mobile-Tracking. Die Sammlung wird als Set von Markdown-Dateien gepflegt und über ein Versionskontrollsystem verwaltet.
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.