
Reitti
Personal location tracking and movement analysis app

Reitti is a personal location tracking and analysis application that ingests GPS data and turns it into meaningful insights such as visits, trips, and significant places. It supports both historical imports and live tracking so you can analyze movement patterns over time while keeping data under your control.
Key Features
- Visit detection to identify places where you spend time
- Trip analysis with transport mode detection (walking, cycling, driving)
- Timeline view for daily visits and trips with distance and duration
- Raw GPS track visualization of complete movement paths
- Multi-user accounts with per-user data isolation and a combined multi-user map view
- Live mode for automatically updating maps as new locations arrive
- Import support for GPX, Google Takeout JSON, Google Timeline exports, and GeoJSON
- REST API for programmatic ingestion and access, plus API token management
- Geocoding provider support (for example Nominatim) with configurable failover
- Optional Immich integration to browse location-based photos alongside your timeline
Use Cases
- Personal travel and mobility analysis (commutes, routines, frequently visited places)
- Family location history and shared map view across multiple users
- Importing and consolidating location history from multiple devices and formats
Limitations and Considerations
- Requires multiple backend services (PostGIS, RabbitMQ, Redis) for full functionality
- Some deployments on ARM64 may require a compatible PostGIS image choice
Reitti is well-suited for users who want detailed location analytics beyond simple tracking, with strong import options and live ingestion from common mobile tracking apps. Its combination of timeline visualization, visit/trip detection, and extensibility through APIs makes it a practical personal geospatial analysis platform.
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Spring Boot
Redis
Docker
PostGIS
Java