Stippl vs TREK

Stippl is a trip planner for building day-by-day itineraries around destinations, stays, activities and transport. Travelers can map a trip, share its plan with companions, and let them view, suggest and edit changes in real time. Its AI can propose daily activities and accommodation, with results available for editing; the first AI itinerary is free, while unlimited generations and route optimisation are Pro features. The budget planner handles more than 100 currencies and converts logged expenses to a home currency. Accommodation searches connect to Booking.com, Airbnb and Hostelworld, and users can buy and activate local data plans in the app for more than 190 countries. Trip information is available offline in the mobile app. Stippl runs on Android, iOS and the web. The Free plan is free and excludes AI generation, PDF export and calendar sync. Stippl Pro is €4.99 a month, with unlimited AI trip and day-plan generation, PDF export, reservation import and calendar sync among its listed features.

TREK is a self-hosted travel planner for organizing trips collaboratively in real time. Users can arrange places by day, optimize routes by distance, and send a day to Google Maps for turn-by-turn directions. Collaborators can edit itineraries together, see live presence, chat, run polls, track attendance, and share read-only public links. Reservation records hold confirmation numbers, files, and statuses for flights, stays, and restaurants. Budgets support multiple currencies and per-person or per-day totals; packing lists include templates and item assignments. OpenStreetMap is the default place search, Google Places is optional, and 16-day forecasts use Open-Meteo without API keys. Optional addons include travel statistics, vacation planning, journaling, and MCP integration. TREK runs on operator-controlled hardware, stores trip data in a SQLite file, and supports scheduled snapshots with retention policies. It can be installed as a PWA and has deployment documentation for Docker, Kubernetes, Unraid, Proxmox, Raspberry Pi, and Apple Silicon, with AMD64 and ARM64 images. It is open source under AGPL-3.0 and free for personal and internal company use.