Python tools for manipulating X-Plane's apt.dat files & interfacing with the X-Plane Scenery Gateway API
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Updated
Feb 4, 2021 - Python
Python tools for manipulating X-Plane's apt.dat files & interfacing with the X-Plane Scenery Gateway API
A comprehensive javascript library providing easy retrieval of airport data based on IATA, ICAO, city codes, country codes, and continents.
We used the http://flughafendb.cc/ airport database (small) and converted most of the fields to English.
Get airport information from Wikipedia.
Complete static data via APIs on various aviation-related subjects.
Home Assistant sensor indicating the current Arrival runway at Heathrow Airport from the EGLL ATIS.
Cheapest way to travel: fly into a cheaper hub, train the rest when it beats flying direct. Click-the-map planner, pure-stdlib Python, zero deps, UI in 46 languages.
AeroDataBox is an affordable aviation and flight data API platform tailored for small and medium businesses, individual developers, researchers, and students.
Aerokey API provides access to detailed information about airports and airlines, including data based on airport code, name, city, state, and more. It also offers airline details by IATA code or name. Ideal for travel-related applications.
A simple and lightweight Python client for interacting with the Schiphol Airport Public Flights API.
The locate.place viewer and api consumer component of loc8.place.
Home Assistant sensors indicating the planned runways for the current week at 0600-1500, 1500 until last departure, and Night as published by London Heathrow Airport.
Detecting weather anomalies for Dublin Airport
This is a simple PHP script that automates the process of connecting to the Sabiha Gökçen Airport's wifi network. It interacts with the Wispotter network service by sending GET and POST requests, managing cookies, and performing login/authentication tasks.
A Node.js application for retrieving flight data from Schiphol Airport and reserving flights for users.
Time-series forecasting project using Prophet to model LAX airport passenger growth (2002–2017). Includes data cleaning, metric engineering, 24-month backtesting, seasonality analysis, and a 5-year forecast. Designed for aviation analytics and data science portfolios.
Node module for parsing various FAA data files.
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