62 results for “topic:gliding”
:airplane: Multi-functional, compatible DIY general aviation proximity awareness system
... the open-source glide computer
Live tracking, flight database and competition framework
:signal_strength: 1090ES ADS-B Out Add-on
A simple library to parse IGC logs and extract thermals.
A browser-based viewer for gliding flight recorder logs.
Modularised version of IGCWebview
Package igc provides means to parse and analyse files in the IGC format
Gliding competition analysis
Gliding Competition Scoring
Open source python library for glider flight analysis
This library extracts flight information from aircraft movements like departure airfield and time, arrival airfield and time, total flight time and more.
Project which includes an Android library to parse IGC files and an Android app called IGC Viewer to analyze them.
Gliding competition manager app for Openvario
XCSoar's data repository
SoarView is a full-stack application for glider pilots to upload, review and share flights they've recorded on a GPS. It is built on React and Redux in the frontend and Flask in the backend on top of a PostgreSQL database.
Overview and entry point for Project
No description provided.
SkyLines Tracker for Android is a simple tracking client for the SkyLines platform.
Android gliding competition manager
Startkladde mit Flarm-Automatik, Schnelleingabedialog, Vereinsflieger-Upload und Qt-5-Unterstützung
space-gliding virtual reality experience
G-NAV web is an experimental navigation and real-time traffic awareness system for gliding that is able to run offline inside web browsers. It is based on Ada, WASM and WebGL.
A C# implementation of an IGC file parser and generator.
Bluetooth-Box für Segelflugzeuge zur Kommunikation mit LX und FLARM
Application for planning soaring cross-country tasks using the Google Maps API
No description provided.
Node based glider logbook system
Segelflug.de Kleinanzeigen Telegram Bot
A quick and dirty wrapper around the XCSoar python library used for flight analysis. Upload your IGC file and get a json blob with some performance statistics back.