Openpanel-dev/openpanel

Features

• Self-Hosted Deployment Platforms - Supports full installation on private, self-managed infrastructure to ensure complete ownership of data.
• Product Analytics - Provides a comprehensive system for collecting user events and behavioral data across web, mobile, and server environments.
• Model Context Protocol Integrations - Exposes internal analytics datasets to AI models via the Model Context Protocol for natural language querying.
• Natural Language Data Analysis - Enables users to query behavioral analytics and interpret trends using natural language queries powered by LLMs.
• Self-Hosted Analytics Platforms - Offers a complete analytics stack designed for deployment on private servers to ensure full ownership of data.
• User Profile Management - Links behavioral events to unique user profiles to enable the creation of cohorts and retention measurement.
• Analytics Dashboards - Offers web-based interfaces for visualizing and exploring real-time product metrics in personalized layouts.
• Analytics Metrics Querying - Provides API endpoints to retrieve aggregated traffic sources, geographic breakdowns, and device data.
• Automatic Event Collection - Collects page views, visit duration, referrers, and device information automatically via a client script.
• Behavioral Analytics - Visualizes user interaction patterns through cohorts, funnels, and profiles to analyze product behavior.
• Conversion Funnels - Defines and monitors sequential user paths to track completion rates of multi-step processes.
• Custom Event Tracking - Implements advanced tracking for recording custom, dynamic user interactions in real-time.
• Data Visualization Dashboards - Ships a visual report builder for creating custom dashboards, conversion funnels, and retention curves.
• Event Tracking - Records behavioral data across web, mobile, and server environments using a privacy-focused cookieless approach.
• Time-Series Aggregations - Processes raw event logs into aggregated time-series metrics for fast retrieval of funnels and retention curves.
• No-SQL Visual Analytics - Builds dashboards featuring funnels and retention curves through a visual interface without requiring SQL.
• Traffic Monitoring - Collects visitor counts, bounce rates, referrers, and geographic data using a single integration script.
• User Behavior Analysis - Aggregates behavioral event data into unified user profiles to track longitudinal journeys and attributes.
• Website Analytics - Monitors visitors, referrers, and page views using a privacy-first approach that avoids cookies.
• Docker Compose Deployments - Provides a guided setup using Docker Compose for streamlined deployment of the full analytics stack.
• Mobile App Analytics - Provides dedicated SDKs for tracking user behavior and session engagement within native mobile applications.
• Mobile Behavioral Tracking SDKs - Provides SDKs to collect behavioral data and device information from iOS and Android applications.
• Event Tracking APIs - Provides server-side APIs and libraries for recording events and errors directly from backend runtimes.
• Cookieless Tracking - Implements a privacy-first approach using cookieless event tracking to simplify regulatory compliance.
• Identity Tracking Systems - Implements non-cookie methods to identify unique users and maintain behavioral profiles for privacy compliance.
• User Privacy Protection - Implements a privacy-first architecture using cookieless event tracking and regional data residency for regulatory compliance.
• Event Tracking Frameworks - Ships a privacy-focused collection framework that monitors user actions without relying on cookies.
• HTTP Metric Ingestion - Provides HTTP endpoints for the direct ingestion of tracking data from custom system integrations.
• Custom Metric Dashboards - Enables the creation of custom line charts, bar charts, and dashboards by combining metrics from any event.
• Authenticated User Tracking - Associates unique identifiers with users to maintain consistent profiles and track activity across sessions.
• Analytical Report Builders - Features a visual builder for creating custom dashboards and conversion funnels without writing SQL.
• Background Processing Workers - Uses scalable background workers to process high-volume event ingestion and data aggregation.
• Client-Side Tracking Scripts - Ships tracking scripts for websites to automate the collection of page views and route changes.
• AI Assistants - Ships an in-app AI assistant to help users navigate and utilize the analytics platform.
• AI-Powered Data Assistants - Allows users to extract insights and answers from analytics data via natural language queries.
• MCP Protocol Integrations - Integrates with the Model Context Protocol to expose analytics data to AI agents for natural language querying.
• Natural Language Query Interfaces - Integrates the Model Context Protocol to allow natural language querying of behavioral analytics data.
• Session Replay - Records and replays actual user sessions to visually reconstruct the exact path a user took.
• A/B Testing - Provides a framework for conducting feature experiments and analyzing performance breakdowns to inform product decisions.
• E-commerce Performance Analytics - Tracks sales events and revenue data to measure the financial impact of user behaviors.
• Interactive Analytical Dashboards - Provides interactive dashboards and reports that can be shared via public or password-protected links.
• Team Member Management - Manages team membership and access controls at the organization and project levels.
• Lifetime Usage Tracking - Calculates total accumulated financial value and subscriptions over the entire user lifecycle.
• Conversion Rate Metrics - Calculates and reports the success rate of user conversion paths with breakdowns by device and region.
• MCP-Based Behavioral Querying - Provides a set of MCP tools for AI clients to resolve questions about user behavior.
• Data Export - Provides APIs for exporting large-scale analytics data into external data pipelines and warehouses.
• Retention Cohort Analysis - Tracks the percentage of returning users over time to identify behaviors that predict long-term retention.
• GeoIP Databases - Uses GeoIP databases to resolve IP addresses into physical locations for user analytics.
• Historical Data Import - Allows importing historical event data from external analytics platforms to maintain reporting continuity.
• Real-Time Event Processing - Implements a high-throughput ingestion system supporting HTTP events, Kafka streams, and webhooks for immediate monitoring.
• IP Geographic Mapping - Maps incoming IP addresses to geographic locations to generate regional traffic breakdowns.
• Revenue Analytics - Implements tools for tracking and reporting financial data and attributing monetary values to user interactions.
• Recurring Revenue Tracking - Provides capabilities to calculate monthly recurring revenue by connecting payment events.
• Kafka Stream Ingestion - Ingests high-throughput event data through a Kafka-compatible broker for parallel processing.
• User Journey Mapping - Records user sessions and profiles identities to visualize the sequential paths users take through the application.
• Automated Container Updaters - Automates the process of pulling latest container images and restarting services with database migrations.
• Compose Orchestrations - Utilizes Docker Compose to orchestrate the multi-service analytics stack for consistent self-hosted deployment.
• First-Party Collection - Provides infrastructure for routing analytics data through custom domains to bypass ad-blockers.
• Event Webhooks - Triggers real-time data transmissions to external systems via HTTP callbacks based on configurable event rules.
• Offline Buffering - Queues events locally during network interruptions and syncs them upon reconnection to prevent data loss.
• Data Residency Controls - Restricts data storage and processing to specific geographic regions to meet data residency requirements.
• User Profile Management - Updates and manages numeric and global attributes on user profiles to store behavioral state.
• AI-Powered - Provides an AI-driven chat interface to analyze and interpret behavioral trends using natural language.
• Global User Properties - Assigns persistent attributes to users that are automatically included with every tracked event.
• Organizational Tracking - Organizes users into companies or accounts to analyze product analytics at an organizational level.
• User Group Management - Organizes users into groups or organizations to analyze behavior at a collective level.
• Screen View Tracking - Monitors specific screen transitions and views in mobile apps to analyze user navigation flow.
• Analytics Platforms - Open-source product analytics platform with self-hosting support.

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