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📡 Fleet Control Console (Server)
🌍 Read in English | 🇮🇹 Leggi in Italiano
🇬🇧 English
Fleet Control Console is a professional, real-time command and control (C2) dashboard designed for amateur radio repeater networks (MMDVM).
🤖 Remote Agent
To monitor your remote nodes (Raspberry Pi), download the dedicated lightweight agent here:
[Insert your Agent Repository URL here]
✨ Features
- Zero-Latency Real-Time UI: Powered by WebSockets (Socket.IO).
- Web Push Notifications: Instant alerts on desktop or mobile.
- Centralized Telemetry & Service Management.
- Global Operations: Switch profiles instantly.
🚀 Installation & Setup
- Read
install.txtto install system prerequisites (compilers). python3 -m venv venv && source venv/bin/activatepip install -r requirements.txt- Configure
config.jsonand generate VAPID keys. - Run via Gunicorn:
gunicorn -k "geventwebsocket.gunicorn.workers.GeventWebSocketWorker" -w 1 --bind 0.0.0.0:9000 app:app
🇮🇹 Italiano
Fleet Control Console è una dashboard di comando e controllo (C2) professionale in tempo reale per le reti di ripetitori radioamatoriali (MMDVM).
🤖 Agente Remoto
Per monitorare i tuoi nodi remoti (Raspberry Pi), scarica l'agente dedicato qui:
[Inserisci qui l'URL del tuo Repository Agent]
✨ Funzionalità
- Interfaccia Real-Time a Latenza Zero tramite WebSockets.
- Notifiche Push Web per allarmi critici.
- Telemetria Centralizzata e Gestione Servizi.
- Operazioni Globali su tutta la rete.
🚀 Installazione
- Leggi
install.txtper i requisiti di sistema (compilatori Linux). python3 -m venv venv && source venv/bin/activatepip install -r requirements.txt- Configura
config.jsoncon credenziali MQTT e chiavi VAPID. - Avvia con Gunicorn.
Created by IV3JDV @ ARIFVG - 2026
Description
📡 Central Hub & Real-Time Dashboard for MMDVM networks. Features a WebSocket-driven UI, RBAC user management, Web Push notifications, and centralized telemetry. Acts as the brain of the ecosystem. Requires fleet-control-agent on remote nodes.
Readme
1.5 MiB
Releases
3
MQTT Enhanced & fix
Latest
Languages
HTML
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Python
30.7%
JavaScript
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