tess1o/geopulse

Public

A self-hosted location timeline platform and Google Timeline alternative. Lightweight, features automatic trip detection, rich analytics, and Immich integration.

  • Stars1.5k+19 tuần này
  • Forks66
  • Watchers5
  • Issues12
  • Ngày tạo01/07/2025
  • Cập nhật gần nhất29/10/2026
  • Ngôn ngữJava
  • Giấy phép—
README.md26.5 KBRaw

GeoPulse

GeoPulse Logo

The self-hosted, source-available Google Timeline alternative.

License Installation options Self-Hosted Privacy First Supported Locales

GeoPulse transforms raw GPS data from OwnTracks, Overland, Dawarich, GPSLogger, Home Assistant, Traccar, Colota and other sources into a searchable timeline of stays, trips, and movement patterns. It runs fully on your own infrastructure and integrates with Immich, Memos, and Weather so photos, notes, and conditions appear directly on your map history.

GeoPulse Timeline with route map and stay and trip cards

Comprehensive timeline visualization with automatic trip classification.


Quick installation

# Create directory and download config
mkdir geopulse && cd geopulse
curl -L -o .env https://raw.githubusercontent.com/tess1o/GeoPulse/main/.env.example
curl -L -o docker-compose.yml https://raw.githubusercontent.com/tess1o/GeoPulse/main/docker-compose.yml

# Start
docker compose up -d

Access: http://localhost:5555
Note: For production, review your .env for security-related settings first.

Need MQTT support for OwnTracks, Kubernetes, Unraid, Proxmox or bare-metal installation? See the deployment options.


Why GeoPulse

  • Self-hosted, no telemetry: Your location data remains on your own infrastructure.
  • Open ecosystem: Works with popular GPS apps (OwnTracks, Overland, GPSLogger, Home Assistant, Colota, Traccar) and tools like Immich, Memos, and Weather.
  • Full data ownership: Import historical data and export your data in standard formats anytime.
  • Lightweight runtime: Typically under 100MB RAM and under 1% CPU in regular usage.
  • Accessible & Localized: Currently available in English and Ukrainian, ensuring an inclusive experience across different regions.

Features

Timeline & Analysis

  • Smart Detection: Automatically converts GPS points into stays, trips, and data gaps.
  • Custom Logic: Fully configurable detection sensitivity and travel mode classification.
  • Deep Insights: Analytics for distance, visit frequency, and movement patterns over time.
  • Map Matching: Valhalla-backed route refinement makes noisy trip paths follow roads and paths while raw GPS remains authoritative.

Nội dung README thuộc về tess1o và cộng đồng đóng góp, giấy phép Không có giấy phép. Nguồn: github.com/tess1o/geopulse