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aerodrome

A self-hosted ADS-B aircraft tracker dashboard for your home receiver. Live tracking, watchlist alerts, military-aircraft highlighting, push notifications, and a stats dashboard — runs on a Raspberry Pi or any small Linux box.

Ficha actualizada 23 sept 2026, 18:41 · upstream 23 sept 2026, 18:20 · release v3.4.134

Ver códigoProblemas y ayudaRepositorio ↗
00

Qué es aerodrome

Descripción editorial construida a partir del repositorio, su documentación y sus señales de mantenimiento.

Aerodrome is a self-hosted web dashboard for your personal ADS-B receiver. Point it at readsb, dump1090-fa, tar1090, or anything that exposes a JSON aircraft feed, and it turns the raw stream into something worth leaving open on a second monitor: live aircraft data, a personal watchlist with alerts, auto-detected military traffic, full-text search across all tracked aircraft, and a rich Stats tab. It indexes your sky without requiring cloud accounts or subscriptions. The tool is MIT licensed, runs entirely on your local hardware (Raspberry Pi to x86), and has no dependencies beyond an optional registration-lookup API for hexdb.io.

CASOS DE USO
  • Monitoring aircraft traffic around a specific airport or region
  • Tracking military movements with automatic detection via callsigns and ranges
  • Building a personal watchlist of frequently seen aircraft without cloud subscriptions
  • Analyzing flight patterns, most-visited airports, and aircraft type distribution over time
  • Creating a kiosk-style display board for FBO lounges or office environments
  • Monitoring specific operators (e.g., Emirates, Lufthansa) with custom filters
PUNTOS DESTACADOS
  • Runs entirely on local hardware — no cloud dependencies beyond an optional registration lookup API
  • Supports multiple ADS-B receivers including readsb, dump1090-fa, tar1090, and PiAware
  • Auto-detects military aircraft using hex-range rules and callsign prefixes (RCH, NAVY, ARMY)
  • Full-text search across all historical sightings with sortable columns and date filters
  • Photo enrichment via planespotters.net for visual identification of aircraft types
  • Push notifications via ntfy.sh with cooldowns to prevent spamming your phone during busy periods
PRECAUCIONES
  • Only shows aircraft within the receiver's geographic range — no global coverage
  • Military detection is heuristic-based and may miss some low-visibility or special-category aircraft
  • Photo enrichment requires an active internet connection to fetch images from planespotters.net
  • No real-time traffic updates beyond what your ADS-B receiver provides (no live flight data feeds)
  • Watchlist alerts are limited by the number of entries you can maintain locally
VISUAL

Capturas del proyecto

Imágenes reales detectadas en la documentación del repositorio.

Stats tabLive tabWatchlist tabSearch tabDisplay board — hybrid layoutDisplay board — flight-board layout
01

Perfil de infraestructura

Estimación inicial derivada del repositorio y de los servicios detectados.

CPU1 vCPUrecomendación inicial
MEMORIA1 GBRAM estimada
DISCO10 GBalmacenamiento base
COMPLEJIDADlownivel de operación
02

Despliegue detectado

Qué señales reales de instalación hemos encontrado.

Despliegue manual

Install via `bash <(curl -fsSL https://install.aerodromeadsb.com)` for a one-line setup. Use systemd service management on Debian/Ubuntu/Raspberry Pi OS or dnf/pacman on Fedora/Arch. Configure in config.yaml: set receiver IP/port, enable watchlist, military detection rules, and photo enrichment sources. For demo mode (no real receiver), run `--demo` flag during bootstrap. The dashboard serves at port 8000 by default; access via browser or kiosk mode for full-screen display.

—Dockerfile
—Compose
—One-click
03

Stack y dependencias

Componentes inferidos a partir de manifests, configuración y documentación.

FRAMEWORKS
FastAPIPython
SERVICIOS
No detectados
BASES DE DATOS
No detectadas
PUERTOS
No detectados
05

Puede sustituir a

Relaciones detectadas por el análisis del repositorio y su categoría.

06

Experiencia real de la comunidad

Ayuda a contrastar la estimación automática con instalaciones reales.

Todavía no hay datos comunitarios para este proyecto.