9 dépôts
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.
Ce projet est un répertoire de logiciels open source organisé par la communauté, conçu pour être déployé dans des environnements de serveurs privés et des laboratoires domestiques. Il sert de ressource complète pour découvrir des alternatives indépendantes et auto-hébergées aux services cloud grand public, permettant aux utilisateurs de conserver la pleine propriété des données et le contrôle de leur infrastructure numérique. Le répertoire est structuré par une taxonomie hiérarchique qui organise une vaste collection d'applications en catégories logiques, allant de la gestion multimédia et de l'analyse de données à la communication privée et aux outils de productivité d'équipe. Il se distingue par un processus de revue par les pairs collaboratif, où les membres de la communauté valident la qualité et la pertinence de chaque soumission pour garantir que le répertoire reste précis et fiable. Le projet couvre une large surface de capacités, notamment l'automatisation de l'infrastructure, le déploiement de services basés sur des conteneurs et la gestion de configuration déclarative. Ces outils aident les utilisateurs à maintenir des environnements de serveur reproductibles et à gérer des dépendances de services complexes sur du matériel privé. Le répertoire est maintenu en tant que dépôt contrôlé par version, garantissant que toutes les mises à jour et les changements pilotés par la communauté sont suivis et transparents.
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.
Ce projet est un répertoire organisé de frameworks d'analyse et de logiciels conçus pour aider les utilisateurs à découvrir des outils pour mesurer le comportement des utilisateurs, les performances SEO et les métriques d'applications mobiles. Il sert de liste de ressources complète organisée par cas d'utilisation spécifiques et exigences de suivi. Le répertoire inclut un index catégorisé axé sur les logiciels d'analyse préservant la confidentialité qui privilégient la protection des données. Il couvre un large éventail de domaines, notamment l'analyse de produit pour suivre les parcours des utilisateurs, la surveillance des performances SEO pour la visibilité dans la recherche organique, et le suivi général web et mobile. La collection est maintenue sous forme d'un ensemble de fichiers markdown et gérée via un système de contrôle de version.
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.