Self-host who-rang
v1.0.0AI doorbell with face recognition and multi-provider AI
- Stars
- 227
- RAM
- 2GB
- Storage
- 5GB
- Ports
- 80 (Frontend (nginx)), 3001 (Backend API and WebSocket)
- Requires
- SQLite
What is who-rang?
WhoRang turns a doorbell camera into a smart visitor identification system. It accepts webhook events from Home Assistant or other sources, analyzes visitor images using one of five AI providers (OpenAI Vision, Anthropic Claude, Google Gemini, Google Cloud Vision, or local Ollama), and performs face recognition to track repeat visitors. The mobile-first dashboard delivers real-time updates via WebSockets. The stack runs via Docker Compose with a React/TypeScript frontend on port 8080 and a Node.js/Express backend on port 3001, using SQLite for storage. Features include comprehensive analytics with CSV/PDF export, AI cost tracking across providers, weather correlation, and a privacy-first design that works fully offline with local AI. The project is MIT licensed and actively maintained.
who-rang alternatives
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OpenNVRSelf-hosted NVR with open AI adapter contract — run any model on your hardware, air-gapped by default, with full audit trails and model fingerprinting.CompareOpenNVR with who-rang
Agent DVRSelf-hosted NVR for IP cameras with motion detection, AI object recognition, and zero-config remote access. Free for local use; paid tier unlocks cloud features.CompareAgent DVR with who-rang
Should you self-host who-rang?
who-rang scores 47/100 on selfhost.directory (how scoring works) and ranks #78 of 104 in Home Automation. It has 227 GitHub stars.
There was no stable release in the past 12 months, so check the repository's recent activity before you rely on it.
Setup is moderate: expect some configuration beyond a single command. It is MIT-licensed and written mostly in Typescript.
Its closest alternative on selfhost.directory is Home Assistant (91/100, 91 851 stars). It scores higher overall, so compare the two before you pick. See who-rang vs Home Assistant side by side.
Features
- AI cost tracking
- CSV/PDF export
- Face Recognition
- Multi-provider AI analysis
- Privacy-first local processing
- Real-time dashboard
- Visitor analytics
- Weather correlation
who-rang README
Transform your doorbell into an intelligent visitor identification system with advanced face recognition, multi-provider AI analysis, and comprehensive visitor insights.
Click any screenshot to view full size
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🏠 Main Dashboard Real-time visitor monitoring with AI-powered insights 
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🤖 AI Provider Configuration Choose from 5 different AI providers for optimal performance 
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📊 AI Analytics & Insights Track costs, performance, and usage across all AI providers 
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👤 Face Recognition Settings Advanced face detection and visitor identification 
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