readsb-protobuf VS plane-notify

Mictronic's aircraft database appears to be available on github as json. It looks like they may also have the type descriptions from the ICAO doc available in json at the same link. I haven't looked that closely at the data. Previously I wrote some code to scrape it from the ICAO site.

this sub recently turned me on to readsb-protobuf, which is a more modern decoder that fills the same role as dump1090. there's a really nice Docker container that packages it up, and includes an output to InfluxDB, a time-series database. so you could potentially build this as a set of queries against an Influx instance, rather than maintaining your own state in a JSON file.

If you're interested in seeing your own data then you could just run something like readsb (https://github.com/Mictronics/readsb-protobuf) and tar1090 (https://github.com/wiedehopf/tar1090)

Depending on what you're running, you can push to plane.watch via a combination of readsb and mlat-client or we can pull from you - jump into the Discord and we'll see what works?

I find the dependencies for readsb-protobuf really difficult to install manually according to the instructions at https://github.com/Mictronics/readsb-protobuf.

There's really no need to pay FA to use an api for data that is publicly available. https://github.com/Mictronics/readsb-protobuf/tree/dev/webapp/src/db

Jack Sweeny, the guy behind Musk's Jet tracking twitter account open sourced the software used to pull the open data on GitHub.

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

https://github.com/Jxck-S/plane-notify feel free to review his source code for the @ElonJet Twitter bot. Definitely public sources for information.

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.

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...