skies-adsb transforms your browser into a real-time 3D air traffic display. Using ADS-B data from an RTL-SDR receiver, you can explore local air traffic, surrounding airspace, and geography with customizable 3D maps. Runs on all major modern browsers. skies-adsb requires a build process prior to deployment and cannot be run directly from source code.

Acarsdec is a multi-channels acars decoder with built-in rtl_sdr, airspy front end or sdrplay device. Since 3.0, It comes with a database backend called acarsserv to store received acars messages.

Can decode up to 8 channels simultaneously. Does error detection and correction. Can take its input from rtl_sdr, airspy, or sdrplay software defined radios. Logs data over UDP in planeplotter or acarsserv formats to store data in a SQLite database, or JSON for custom processing. Can decode ARINC-622 ATS applications (ADS-C, CPDLC) via libacars library.

Multi-channel decoding is particularly useful with broadband devices such as the RTLSDR dongle, the AIRspy and the SDRplay device. It allows the user to directly monitor to up to 8 different frequencies simultaneously with very low cost hardware.

Looks like it interacts with the SDR directly because it has to control the frequencies it's listening on, so you can't piggyback it on, say, an existing ADS-B node.

Requires libusb, librtlsdr, libairspy, libmirsdrapi-rsp, and libacars (optional).

Airframes is a transportation (aviation, marine, etc) data aggregation service that receives ACARS, VDL, HFDL, SATCOM, and AIS data from volunteers around the world. This is similar to other efforts to collect, process, and display aircraft data like ADS-B, but with a focus on more interesting information, such as diagnostic, maintenance, and operational messages. It is under very active development and you will notice changes from day to day.

Contributing your feed allows us to make ground developing new decoders and make important statistical observations. It also benefits users of the service so that they can see more about flights as they traverse covered territories.

They're working on a REST API for participants.

Github: https://github.com/airframesio

Boeing's been in the news for all the wrong reasons lately. If you're wondering how to check if you're flying Boeing, just pop in your next flight number and check your flight.

We are an European group of people interested in the observation of local and international air traffic. Whether out of interest in (radio) technology, development of hardware and software, or simply in unfiltered air traffic: Every antenna in the network matters ‒ especially to improve coverage at low altitudes! Through an extensive network of receiving stations, everyone contributes their part to the information variety. If you already operate your own ADS-B receiver or require advice in selecting the best hardware for your location, contact us.

skies-adsb is a virtual plane spotting progressive web app / virtual aquarium (with aircraft instead of fish) / interactive real-time simulation. Aircraft are tracked via unfiltered ADS-B transponder data in real-time and rendered in 3D. The ADS-B data source is meant to be a RTL-SDR receiver connected to a Raspberry Pi running on your home network. Flight status data is provided by the FlightAware AeroAPI v2. The aircraft photos are provided by Planespotters.net.

The FAA's official search page for aircraft registration and ownership.

A list of interesting aircraft - Governments, Dictators, Military, Historic and just plain odd.

Schema:
ICAO,Ident,Operator,Type,CMPG,$Tag,#$Tag2,Category,#$Link

A wholly unnecessary replacement for Dump1090's web interface for tracking ADS-B equipped aircraft.

Uses the JSON format provided by an existing Dump1090 web server, but presents it using military symbology. Just because you can, doesn't mean you should? Written in Javascript, but I don't know if it requires node.js or if it's just an HTML page with JS in it. Requires a couple of API keys.

Simple program to decode ADS-B signals from an RTLSDR and track aircraft on a map. Makes use of a Dash webserver to display the dashboard.

My Advisory Circular network of twitter bots post in real-time whenever they detect aircraft flying in circles over cities around the world, including Los Angeles, Baltimore, Portland, Minneapolis, and London. The bots often tweet about news and fire aircraft, and because they use an uncensored source of data they also tweet police, FBI, DHS, DEA, CBP, and military aircraft. They look for circles because it means an aircraft is doing something instead of going somewhere. If you've ever asked “what is that helicopter/plane?” there’s a good chance my bots can answer your question—even if it's an advanced military surveillance plane.

The OpenSky Network was initiated in 2012 by researchers from armasuisse (Switzerland), University of Kaiserslautern (Germany), and University of Oxford (UK). The objective was (and still is!) to provide high quality air traffic data to researchers. By now, the OpenSky Network has become a non-profit association based in Switzerland and is supported by a growing number of contibutors from industry and academia. Researchers from different areas are using the data that is provided by people from all around the world.

You can even track planes' filed flight plans from their API: https://opensky-network.org/api/routes?callsign=EDW200E

REST API documentation: https://openskynetwork.github.io/opensky-api/

Ever wanted to listen in on air traffic controller comm traffic?