Search Results for "amateur radio"
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Showing 10 open source projects for "amateur radio"
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Repeater-START
Showing The Amateur radio Repeaters Tool
Repeater-START (Showing The Amateur Repeaters Tool) is an app to view nearby ham radio repeaters. It runs on Windows, Android, Ubuntu Linux and Raspbian for Raspberry-pi, Librem Phone, Pinephone/Manjaro Linux etc. -
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WSJT
Weak signal ham radio communication
The WSJT project implements software for amateur radio communication using state-of-the-art digital techniques. Typical applications involve "DXing" at LF, MF, HF, and VHF+ frequencies, including meteor scatter and EME ("moonbounce"). Major emphasis is placed on weak-signal techniques. Summary Program Descriptions: WSJT-X supports the communication protocols FST4, FT4, FT8, JT4, JT9, JT65, Q65, MSK144, WSPR, FST4W, and Echo, each optimized for different sorts of radio-wave propagation. ... -
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Rigserve implements a human-readable control language for remote or local IP access to amateur radio equipment (rigs). A Python class library allows interfacing with a large number of rig types via serial ports or other methods.
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A suite of applications geared towards amateur radio. Including a rig control, cluster client, logging, and hopefully addition applications. The suite is written in Python using the wxWindows toolkit to be cross platform.
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The Multi Mode Relais is a software for building an amateur radio voice relais system. In contrast to hardware relais the behaviour of this relais software is controlled by a number of python scripts.
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BSXLog is an Amateur Radio Logging program written in Python for the Gtk GUI with postgresql as the backend database
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QSO-Graph
Ham radio MCP servers for AI Agents — 71 tools, 11 packages
QSO-Graph is a suite of 11 MCP (Model Context Protocol) servers for amateur radio operators. Provides AI-powered access to QRZ, eQSL, LoTW, HamQTH, POTA, SOTA, IOTA, WSPR, solar weather, ADIF parsing, and HF Description: Propagation analytics. Native installers for Windows (InnoSetup) and Linux (RPM). All servers also available via pip from PyPI. Source code at github.com/qso-graph.
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