- fall back to a single-day rebuild only on FileNotFoundError; a rate limit, schema change or truncated download previously took the same path and republished one day as the whole dataset, which the next run then read back as its base - move the monotonic download_date assert out of the try so corruption cannot select the destructive branch - walk back through releases like the ADS-B reader, so one missing optional asset does not strand the accumulation - authenticate release reads and verify downloaded asset size - read the previous CSV with keep_default_na=False so literal NA values round-trip - write the download atomically and reject non-zip responses Generated-by: Claude Opus 5 <noreply@anthropic.com>
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 day’s 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
