Ashley Childress e3c8a0e242 fix: stop a transient error erasing the FAA release history
- narrow the fallback to FileNotFoundError and move the monotonic assert out of the try:
  a rate limit, parse error or corrupt download previously rebuilt three years of registry
  from a single day and republished it as the whole dataset
- authenticate release reads and walk back through releases, matching the Transport Canada
  reader; the FAA path was unauthenticated at 60 requests an hour on shared runner IPs
- verify downloaded asset size

This is what the matrix's required: true flag on faa claims to protect, so the flag was
advertising a guarantee the script could not keep.

Generated-by: Claude Opus 5 <noreply@anthropic.com>
2026-09-10 20:53:54 -04:00
2026-03-18 14:29:13 -04:00
2026-03-10 05:08:19 -04:00
2026-02-13 11:37:31 -05:00
2026-03-18 14:29:13 -04:00
2026-02-13 11:37:31 -05:00

OpenAirframes.org

OpenAirframes.org is an open-source, community-driven airframes database.

The data includes:

  • Registration information from Civil Aviation Authorities (FAA)
  • Airline data (e.g., Air France)
  • Community contributions such as ownership details, military aircraft info, photos, and more

For Users

A daily release is created at 06:00 UTC and includes:

  • openairframes_community.csv
    All community submissions

  • openairframes_adsb.csv
    Airframes dataset derived from ADSB.lol network data. For each UTC day, a row is created for every icao observed in that days ADS-B messages, using registration data from tar1090-db (ADSBExchange & Mictronics). Example Usage:

import pandas as pd
url = "https://github.com/PlaneQuery/OpenAirframes/releases/download/openairframes-2026-03-18-main/openairframes_adsb_2024-01-01_2026-03-17.csv.gz" # 1GB
df = pd.read_csv(url)
df

  • openairframes_faa.csv
    All FAA registration data from 2023-08-16 to present (~260 MB)

  • ReleasableAircraft_{date}.zip
    A daily snapshot of the FAA database, which updates at 05:30 UTC


For Contributors

Submit data via a GitHub Issue with your preferred attribution. Once approved, it will appear in the daily release. A leaderboard will be available in the future. All data is valuable. Examples include:

  • Celebrity ownership (with citations)
  • Photos
  • Internet capability
  • Military aircraft information
  • Unique facts (e.g., an airframe that crashed, performs aerobatics, etc.)

Please try to follow the submission formatting guidelines. If you are struggling with them, that is fine—submit your data anyway and it will be formatted for you.


For Developers

All code, compute (GitHub Actions), and storage (releases) are in this GitHub repository Improvements are welcome. Potential features include:

  • Web UI for data
  • Web UI for contributors
  • Additional export formats in the daily release
  • Data fusion from multiple sources in the daily release
  • Automated airframe data connectors, including (but not limited to) civil aviation authorities and airline APIs
S
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