Self-Hosted Deployment via Docker

Why Self-Hosted?

Complete Data Privacy

Your high-resolution LiDAR scans never leave your local network or server infrastructure.

Zero Cloud Fees

No per-gigabyte processing charges, subscription tiers, or credit systems.

Hardware Utilization

Leverage your server's multi-core CPUs directly — no GPU required for processing or model training.

Deployment Options

The image is published on Docker Hub: hub.docker.com/r/lidaric/lidaric. Pulling or running the image constitutes acceptance of the LiDARic license — free for private, educational and commercial use.

Option A Quickstart with Docker

Single container — ideal for individual GIS analysts running on a local desktop or workstation.

bash

docker run -d \
  --name lidaric \
  -p 8000:8000 \
  -v lidaric-data:/data \
  lidaric/lidaric:latest
# then open http://localhost:8000

Option B Production Setup with docker-compose

Ideal for teams sharing a central processing server within a firm or agency.

yaml

services:
  lidaric:
    image: lidaric/lidaric:latest
    container_name: lidaric
    restart: unless-stopped
    ports:
      - "8000:8000"
    volumes:
      - lidaric-data:/data

volumes:
  lidaric-data:

Hardware & System Requirements

Requirement	Minimum	Recommended
OS	Linux (Ubuntu 22.04+), Windows 11 (WSL2), macOS	Ubuntu 22.04 LTS / Debian 12
CPU	4-Core CPU	8+ Core CPU (AMD Ryzen / Intel Core i7/i9)
RAM	16 GB	32 GB – 64 GB
GPU	None on the server; any WebGL-capable graphics in the browser	Dedicated GPU in the client machine for smooth rendering of very large clouds
Storage	SSD with 10 GB free space	NVMe M.2 SSD for rapid point cloud caching

Self-Hosted, Secure, and Cloud-Independent