Lambus vs TREK

Lambus is a travel planner that keeps trip stops, expenses, tickets, photos, and other details together for individual or group trips. Travelers can plan on an interactive map, add stops collaboratively in real time, and include transport, attractions, restaurants, tours, and notes. It can surface offers through partners such as GetYourGuide and Omio, import booking documents, and split group costs. PRO adds offline trip access, itinerary calendar sync, PDF and expense exports, Google Maps place search, automatic currency conversion, and real-time flight updates. The maker describes PRO storage for photos, travel bookings, and PDF files as unlimited. Private documents such as passports or driver's licenses can be stored on the device and secured with biometrics. Its AI Connector works with ChatGPT, Claude, or Gemini for itinerary and trip-management tasks, though availability and plan support may change as those assistants roll out MCP features. Lambus is available on web, Android, and iOS. The basic platform is free, and the pricing note lists paid plans from €11.97/mo and a 30-day trial.

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.