mazzap
Active·★ 152·MIT·Updated 2026-07-24
Mazzap v2 is a georeferenced 3D digital twin engine that transforms real ground patches into interactive browser-based models. It allows users to visualize terrain, drape aerial imagery, add custom map layers, and query geospatial data using natural language through an integrated LLM agent.
#3D Digital Twin#Geospatial Data#Mapping#Node.js#Python#GDAL#LLM Integration#Browser-based
01
Features
013D terrain rendering from any DEM, with selectable surface modes.
02Aerial imagery draped and aligned precisely onto the 3D terrain.
03Click-to-identify functionality with real-world GPS, elevation, and map feature readouts.
04Atlas layers for importing and auto-styling any vector or raster geospatial file.
05G.A.I.A. (Geospatial Agroecological Intelligent Agent) for natural language queries via an LLM chat panel.
02
Compatibility
Node.js
Runtime
Verified via docs
Python
Runtime
Verified via docs
Docker
Containerization
Verified via docs
OpenAI API
LLM Provider
Verified via docs
GDAL
Geospatial Library
Verified via docs
03
Quick start
1
$ docker compose up --build
04
Use cases
↳Environmental monitoring and analysis by visualizing and querying diverse geospatial layers like soils, wetlands, and habitat.
↳Field survey management, generating QField projects for data collection and uploading results back to the digital twin.
↳Real-time tracking and telemetry by registering Meshtastic/LoRA gateways and displaying live/recorded tracker positions.
↳Building custom georeferenced 3D digital twins for any region using user-provided DEM and imagery.
↳Natural language query of geospatial data within the 3D twin, asking questions about specific areas or features.
05
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