Awesome GitHub RepositoriesBehavioral Data Collection

Snowplow is a behavioral event data pipeline and customer data infrastructure designed to capture user interactions and transform them into structured events for real-time analysis and long-term storage. It functions as a customer data platform that gathers user signals and enriches them with metadata to create a unified view of customer behavior. The system operates as an event schema validation engine to enforce strict data contracts on incoming streams, preventing data corruption. It further serves as a real-time event router and an event-driven automation platform, triggering proactive bu

Countly is a self-hosted product analytics and engagement platform that tracks user behavior across mobile, web, and desktop applications. It collects and analyzes device properties, user actions, and session lifecycle data to understand engagement patterns, while also providing crash reporting, push notification delivery, and A/B testing capabilities. The platform is designed for privacy-first deployment, with built-in consent management and the ability to run entirely on private infrastructure. The platform distinguishes itself through its comprehensive feature set that combines analytics w

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

Este proyecto es una biblioteca de integración de analíticas en JavaScript y un recolector de eventos del lado del cliente, diseñado para registrar el comportamiento del usuario y distribuir esos datos a múltiples destinos de analíticas de terceros a través de una interfaz unificada. Funciona como una plataforma de datos de clientes que identifica usuarios, gestiona atributos y enruta flujos de eventos a diversas herramientas de analítica y almacenes de datos. La biblioteca se distingue por un enrutador de eventos multidestino y un middleware de seguimiento HTTP que intercepta y modifica las cargas útiles de los eventos antes de su transmisión. Implementa primitivas de gestión de identidad para la identificación de usuarios, alias de identidad para combinar perfiles y seguimiento entre subdominios mediante el almacenamiento de identificadores en el dominio de nivel superior. El sistema cubre una amplia gama de capacidades, incluyendo el monitoreo de la interacción del usuario para vistas de página, envíos de formularios y clics en enlaces, así como el seguimiento de campañas de marketing mediante la extracción de parámetros UTM. Para mayor fiabilidad, utiliza procesamiento por lotes de solicitudes de eventos, colas de reintento basadas en almacenamiento local con retroceso exponencial y flags de keepalive del navegador para asegurar la captura de datos durante las redirecciones de página. La biblioteca también admite píxeles de seguimiento para entornos que restringen la ejecución de JavaScript y proporciona mecanismos para la ofuscación de URLs de integración para evitar el bloqueo de solicitudes.

Velociraptor is a digital forensics and incident response platform, endpoint detection and response system, and visibility tool. It provides a query engine and remote forensic collector used to hunt for indicators of compromise and perform triage across a fleet of hosts. The system is distinguished by its specialized query language for interrogating host state and parsing binary files. It features a notebook environment that combines markdown documentation with executable query cells to standardize investigative workflows and enable collaborative reporting. The platform covers a wide range o