advisory-circular
plane-notify
advisory-circular | plane-notify | |
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2 | 56 | |
- | 2,487 | |
- | - | |
- | 2.7 | |
- | 3 months ago | |
Python | ||
- | GNU General Public License v3.0 only |
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advisory-circular
- Is there a way to find out why there are helicopters overhead?
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Comprehensive-ish list of ADSB related websites
advisory-circular, Bot that notifies of circling planes in an area
plane-notify
- Time for DesantisJetTracker?
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Michelle Mone bought a £7.5m private jet (reg M-KNOX) after she got a £65m PPE contract. Anyone tech savvy enough to run MoneJetTracker?
Jack Sweeny, the guy behind Musk's Jet tracking twitter account open sourced the software used to pull the open data on GitHub.
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We need an open source tracker
Oh you’re the one in the group project that talks a lot while others do the work, the stuff is already on GitHub, https://github.com/Jxck-S/plane-notify
- Elon Musk just popped into a Twitter Spaces chat with a bunch of journalists. He was called out by journalist Drew Harrell, who he banned, for lying about posting links to his private information, then leaves almost immediately after being pressed. Here is the exchange
- Can we create our own Twitter bots yet?
- ElonJet's source code
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Sweeney was posting public information
https://github.com/Jxck-S/plane-notify feel free to review his source code for the @ElonJet Twitter bot. Definitely public sources for information.
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Jack Sweeney of Elonjet Responds
Ignoring the safety concern on one side, and the emission of greenhouse gases on the other, the way this works is interesting and surprisingly straightforward! https://github.com/Jxck-S/plane-notify/blob/multi/PseudoCode...
If I understand correctly, the plane broadcasts ACARS data which include the registration number, and ADS-B data which includes the 24-bit ICAO address, which hobbyists both record and share in an API that can be queried. Then the code computes departures and arrivals from the distance to the nearest airport at low altitude.
The jet likely changed its ICAO address through PIA, but the set of possible ICAO addresses that could be the right one after it switched ICAO address is small, because PIA privacy protection has an assigned range of registration numbers and ICAO addresses. Among those, there was only one that matched the departure/arrival pattern of the pre-PIA, known ICAO address associated with the target jet.
- ElonJet's GitHub Repo
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Elon Musk's poll doesn't go as planned so he redoes it and it goes even worse. When will they learn vote recounts don't go in their favor?
Also you can write (or have Chat-GPT write) a script using the public GitHUb repository Jxck-S created to fetch the data from ADS-B Exchange and then have it output the string as a .txt file that a Tweet automation program similar to langphil's Twitter bot (that Tweets lines from a .txt file) could use...
What are some alternatives?
docker-planefence
adsb-exchange - ADS-B Exchange Linux Setup Scripts
readsb-protobuf - Readsb is a Mode-S/ADSB/TIS decoder for RTLSDR, BladeRF, Modes-Beast and GNS5894 devices. Future development version with protocol buffer storage.
FlightAirMap - Open source project displaying live aircrafts, ships or trackers on 2D/3D map. Browse through the data based on a particular aircraft, airline, airport, tracker or vessel to search through the database or see extensive statistics. Can use ADS-B in SBS1 format (dump1090, Radarcape,...), VRS, VA (VATSIM, IVAO whazzup.txt, phpvms,...), ACARS (acarsdec, acarsdeco2), APRS, AIS as datasource.
adsbx-api-proxy
dump1090 - Dump1090 is a simple Mode S decoder for RTLSDR devices
instances - Mastodon instances list
traffic - A toolbox for processing and analysing air traffic data
1090webclient - A web client for dump1090
nostr - a truly censorship-resistant alternative to Twitter that has a chance of working
ML-airport-configuration - The ML-airport-configuration software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended for predicting airport configuration as a time series. The software is designed to point to databases which are not provided as part of the software release and thus this software is only intended to serve as an example of best practices. The software is built in python and leverages open-source libraries kedro, scikitlearn, MLFlow, and others. The software provides examples how to build three distinct pipelines for data query and save, data engineering, and data science. These pipelines enable scalable, repeatable, and maintainable development of ML models.