FlightTracer: tracking ADS-B Exchange flights

FlightTracer turns whatever you have about an aircraft — an N-number, an ICAO hex, or a pasted ADS-B Exchange URL — into a mapped, summarized flight trace in one command.

Pick the right entry point

Start from what you have, not from a list of steps.

Each of those is the whole workflow: fetch, decode legs, map, chart, summarize. There's no separate process or export step, and no filename to remember — everything for one run lands in one folder.

Installation

pip install flight-tracer

N-number lookups need the FAA registry client, hangarbay:

pip install flight-tracer[faa]

Without it, --icao and --url still work; --n-number raises a clear error telling you to install it.

The newsroom scenarios this is built for

A helicopter crash. You have an N-number.

flight-tracer trace --n-number N358TV

This resolves the N-number to its ICAO hex via the FAA registry, then fetches ADS-B Exchange's recent trace — roughly the last few hours to a few days of coverage, no date required. That's the breaking-news default: you don't know the date yet, you just know it was recent.

You can see an aircraft on the globe and have its ICAO hex.

flight-tracer trace --icao a40442

Same recent-trace default. If it's not recent — the aircraft flew hours or days ago and dropped out of the short-lived recent trace — add a date:

flight-tracer trace --icao a40442 --date 2026-09-14
# or a range:
flight-tracer trace --icao a40442 --start 2026-09-10 --end 2026-09-14

Someone sends you a globe.adsbexchange.com link.

flight-tracer trace --url "https://globe.adsbexchange.com/?replay=2026-09-16-01:58&icao=a40442&lat=34.251&lon=-118.614&zoom=7.0"

The icao and replay date come straight out of the URL — nothing to retype. A live link with no replay param (just ?icao=...) is treated as recent, same as the bare --icao case.

What one run produces

data/a40442_2026-09-16_2026-09-16/
├── trace.csv        # every point: time (UTC + local), lat/lon, altitude, speed, leg
├── points.geojson
├── line.geojson      # one LineString per flight leg
├── map.png           # route over a basemap, start/end markers, headline + dek
├── altitude.png      # altitude over time
├── speed.png         # ground speed over time
└── summary.json      # the plain-English answer to "what is this, and when"

Every run also prints the headline straight to the terminal:

N358TV (AEROSPATIALE AS-350 Ecureuil, hex a40442)
Tracked 2026-09-16 00:23:28 UTC → 2026-09-16 01:55:25 UTC (91.9 min, 1 leg)

Times are UTC unless you ask for local

ADS-B Exchange, ATC and pilots are all UTC-native, and a global newsroom has no reason to default to any one city's clock. So by default, everything — the terminal headline, summary.json, the CSV, the charts — stays in UTC, and there's no point_time_local column at all. One zone, nothing to get out of sync.

Ask for local time with --timezone, and it's added alongside UTC, never in place of it — every artifact that shows a local time restates the same span in UTC right next to it:

flight-tracer trace --icao a40442 --date 2026-09-16 --timezone America/New_York
# Tracked 2026-09-15 20:23:28 EDT → 2026-09-15 21:55:25 EDT (91.9 min, 1 leg)
# UTC: 2026-09-16 00:23:28 UTC → 2026-09-16 01:55:25 UTC

Don't know the local zone for wherever this happened? --timezone auto infers it from the trace's first position (via timezonefinder, offline, no API):

flight-tracer trace --icao a40442 --date 2026-09-16 --timezone auto
# Inferred timezone from location: America/Los_Angeles

Requires the tz extra: pip install flight-tracer[tz].

Flight legs, decoded rather than guessed

Earlier versions split legs by a configurable time-gap threshold. ADS-B Exchange already marks the start of each leg in its own data (flags & 2 in the raw trace, its own landing/takeoff detector), so FlightTracer just reads that flag instead of guessing from a gap in timestamps. Nothing to tune.

Basemaps

Default is esri-light, a quiet gray canvas that lets the route carry the map. Other options: osm, esri-street, esri-topo, esri-satellite, esri-natgeo. Carto withdrew anonymous tile access, so any old carto/positron reference is mapped onto esri-light automatically rather than silently failing.

flight-tracer trace --icao a40442 --background esri-satellite

Full CLI options

flight-tracer trace
  --icao HEX              ICAO hex code. Repeatable.
  --n-number TAIL          FAA tail number, e.g. N358TV. Repeatable. Requires flight-tracer[faa].
  --url URL                A globe.adsbexchange.com URL to parse.
  --start / --end DATE     Historical date range (YYYY-MM-DD).
  --date DATE              Shorthand for --start/--end on the same day.
  --recent                 Force the recent-trace endpoint even if a date was found or given.
  --timezone ZONE          Add local times alongside UTC: an IANA zone (e.g. America/Chicago) or
                           'auto' to infer one from the trace's first position. Default: UTC only.
  --output DIR             Parent directory for the run's output folder. Default: data.
  --filter-ground          Drop ground points (default). --keep-ground to disable.
  --background NAME        Basemap. Default: esri-light.
  --formats LIST           Comma list: csv,geojson,shp. Default: csv,geojson.
  --no-plots               Skip map/chart rendering; write data only.
  --bucket NAME            Upload the output folder to this S3 bucket.
  --aws-profile NAME       AWS profile for --bucket uploads.

flight-tracer resolve --n-number TAIL
  Print the ICAO hex, aircraft type and registered owner for a tail number.

Using FlightTracer in Python

from flight_tracer import FlightTracer
from flight_tracer.viz import plot_map, plot_series

tracer = FlightTracer(aircraft_ids=["a40442"])
raw_df = tracer.get_traces(recent=True)                  # or (start_date, end_date)

gdf = tracer.process_flight_data(raw_df, timezone="America/Los_Angeles")
summary = tracer.summarize(gdf)
print(tracer.headline_for(summary))

written, gdf_lines = tracer.write_outputs(gdf, "data/a40442")
plot_map(gdf, gdf_lines, "N358TV", "Recent activity", "ADS-B Exchange",
          "data/a40442/map.png")
plot_series(gdf, "altitude", "Altitude", "Feet", "data/a40442/altitude.png")

Resolving an N-number or a URL yourself

from flight_tracer import resolve_n_number, parse_adsbx_url

info = resolve_n_number("N358TV")
# {'icao': 'a40442', 'n_number': 'N358TV', 'maker': 'EUROCOPTER', 'model': 'AS 350 B2', 'owner_name': '...'}

info = parse_adsbx_url("https://globe.adsbexchange.com/?replay=2026-09-16-01:58&icao=a40442")
# {'icao': 'a40442', 'date': date(2026, 9, 16), 'time': '01:58', 'lat': None, 'lon': None, 'zoom': None}

Fleets: several aircraft in one call

tracer = FlightTracer(aircraft_ids=["a40442", "ac308f", "ae4af6"])
# or from a hosted list:
tracer = FlightTracer(meta_url="https://stilesdata.com/lapd-helicopters/lapd_aircraft.json")

raw_df = tracer.get_traces(recent=True)
gdf = tracer.process_flight_data(raw_df)
for icao in gdf["icao"].unique():
    print(tracer.headline_for(tracer.summarize(gdf[gdf["icao"] == icao])))

AWS S3

tracer.upload_directory_to_s3("data/a40442_2026-09-16_2026-09-16", "my-bucket", prefix="flight_tracer")

Or from the CLI: flight-tracer trace --icao a40442 --bucket my-bucket --aws-profile my-profile.

Notes on the data

• Values such as altitude and ground speed are raw and uncorrected.
• has_multilaterated_positions in the summary flags when part of a track came from multilateration rather than a direct ADS-B position — expect noisier speed readings in those stretches.
• ADS-B datetimes are UTC (Zulu); every output also carries the requested local zone, so nothing needs a manual conversion downstream.

Roadmap

• Metadata enrichment beyond the FAA registry (e.g. ICAO aircraft-type lookups)
• Parallel fetching for large fleets
• Mapbox-backed basemaps for house-style GL maps
• Overflight/noise-style analysis helpers

Releasing

See PUBLISH.md and CHANGELOG.md. In short: ./publish.sh.

Credits

Thanks to ADS-B Exchange for providing open flight data. Consider subscribing or contributing data.

N-number resolution uses hangarbay, an FAA aircraft registry client.

License

This project is licensed under the Creative Commons CC0 1.0 Universal Public Domain Dedication.