Hey everyone!
I’m excited to introduce Reitti, a location tracking and analysis application designed to help you gain insights about your movement patterns and significant places—all while keeping your data private on your own server.
Core Capabilities:
- Visit Tracking: Automatically recognizes and categorizes the places where you spend time, using customizable detection algorithms
- Trip Analysis: Analyzes your movements between locations to understand how you travel whether by walking, cycling, or driving
- Interactive Timeline: Visualizes all your past activities on an interactive timeline with map and list views that show visit duration, transport method, and distance traveled
Photo Integration:
- Connect your self-hosted Immich photo server to seamlessly display photos taken at specific locations right within Reitti’s timeline. The interactive photo viewer lets you browse galleries for each place.
Data Import Options:
- Multiple Formats Supported: Reitti can import existing location data from GPX, GeoJSON, and Google Takeout (JSON) backups
- (Near) Real-time Updates: Automatically receive location info via mobile apps like OwnTracks, GPSLogger or our REST API
Customization:
- Multi-geocoding Services: Configurable options to convert coordinates to human-readable addresses using providers like Nominatim
- User Profiles: Customize individual display names, password management, and API token security under your own control
Self-hosting:
- Reitti is designed to be deployed on your own infrastructure using Docker containers. We provide configuration templates to set up linked services like PostgreSQL, RabbitMQ and Redis that keep all your location data private.
Reitti is still early in development but has already developed extensive capabilities. I’d love to hear your feedback and answer any questions to tailor Reitti to meet the community’s needs.
Hope this sparks some interest!
Daniel
I was thinking about that, but the main problem is that we do not store all the data which comes in.
If we ingest data from an app, I am pretty sure that the quality of the data is actually usable. But for example if we import an Records.json from Google Takeout. The quality of the earlier years is somewhat sketchy. For this we filter out some points like travelling with over 2000 km/h, sudden direction changes etc and they are lost forever. At least for Reitti they are unknown.
The feature would need a lot of explanation why the data we export is not the same we import.That is the reason I did not implemented it even if it would come in handy for testing stuff. Handling GPX files is a pita …
I understand. Currently, I’m using the NextCloud’s extension Phonetrack, and one on my main use cases is to export GPX files to use them in Darktable and add geotracking information to the pictures I shoot with my camera. It works well, actually, but Phonetrack is not too intuitive and does not offer many other features: that’s why I was looking with interest at this alternative!