Openpanel-dev/openpanel
Openpanel
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 natural language.
The system covers a broad range of analytical capabilities, including behavioral analysis with conversion funnels, retention cohorts, and session replays. It also features financial monitoring for recurring revenue and lifetime value, alongside visual report builders for creating custom dashboards without SQL.
The entire stack is Dockerized for streamlined deployment on private servers, including support for automated system updates and reverse proxy integration.
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.
