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
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
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.
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