README.md

metadata

language: en
license: odbl
pretty_name: OpenFlights - Complete Dataset
tags:
  - aviation
  - airports
  - routes
  - airlines
configs:
  - config_name: airlines
    data_files:
      - split: default
        path: airlines/data.parquet
  - config_name: airports
    data_files:
      - split: default
        path: airports/data.parquet
  - config_name: airports_extended
    data_files:
      - split: default
        path: airports_extended/data.parquet
  - config_name: countries
    data_files:
      - split: default
        path: countries/data.parquet
  - config_name: planes
    data_files:
      - split: default
        path: planes/data.parquet
  - config_name: routes
    data_files:
      - split: default
        path: routes/data.parquet

OpenFlights - Complete Dataset

A fully structured and Parquet-optimized version of the OpenFlights open aviation database.
This dataset is redistributed for convenience. I am not the owner of the data. All source data is originally provided by OpenFlights.
OpenFlights (Website) ⸱ Contact Me

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Table of Contents

1. About the Dataset
2. Datasets Structure
3. Schema
4. Usage
5. Licensing & Attribution
6. Source

About the Dataset

This repository provides the OpenFlights database exported into columnar Parquet format, enabling efficient analysis, filtering, joins, and machine learning workflows.

It is designed as a multi-configuration dataset, where each table is stored as its own configuration with a single split named default.

Included data:

• Airports (basic + extended metadata)
• Airlines
• Routes between airports
• Aircraft models (planes)
• Countries with ISO codes

All Null/OpenFlights \N placeholders were converted to standard NaN values for clean schema typing.

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Datasets Structure

This dataset contains 6 subsets :

Configurations	Description
airports	All known airport infrastructure worldwide
airports_extended	Enhanced airport metadata (time zones, DST, categories, etc.)
airlines	Commercial & private airlines with active status
routes	Direct flight connections (airline + equipment info)
planes	Aircraft types and codes
countries	Country reference table (ISO 3166-1)

Note : Each configuration has a single split: default.

Designed for relational joins using identifiers:

• airlines.AirlineID ↔ routes.AirlineID
• airports.AirportID ↔ routes.SourceAirportID / DestinationAirportID

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Schema

Airports

• AirportID (int)
• Name (string)
• City (string)
• Country (string)
• IATA (string, nullable)
• ICAO (string, nullable)
• Latitude (float)
• Longitude (float)
• Altitude (int)
• Timezone (float)
• DST (string)
• TzDBTimezone (string)

Airports Extended

Same columns as airports, but typically higher data completeness and accuracy

• AirportID (int)
• Name (string)
• City (string)
• Country (string)
• IATA (string, nullable)
• ICAO (string, nullable)
• Latitude (float)
• Longitude (float)
• Altitude (int)
• Timezone (float)
• DST (string)
• TzDBTimezone (string)

Airlines

• AirlineID (int)
• Name (string)
• Alias (string, nullable)
• IATA (string, nullable)
• ICAO (string, nullable)
• Callsign (string, nullable)
• Country (string, nullable)
• Active (string: "Y" / "N")

Routes

• Airline (string)
• AirlineID (int, nullable)
• SourceAirport (string)
• SourceAirportID (int, nullable)
• DestinationAirport (string)
• DestinationAirportID (int, nullable)
• Codeshare (string, nullable)
• Stops (int)
• Equipment (string)

Planes

Referenced in routes using Equipment codes.

• PlaneID (int)
• IATA (string, nullable)
• ICAO (string, nullable)
• Name (string)

Notes:

• Some aircraft may only have IATA or ICAO codes
• PlaneID is an OpenFlights internal identifier

Countries

Used as reference for airports and airlines

• Name (string)
• CountryCode (string, nullable - ISO 3166-1 format)

Notes:

• Not all countries have official codes available
• Used for international standard alignment

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Usage

Load directly with 🤗 Datasets:

from datasets import load_dataset

airports = load_dataset("kylianmallet/openflights", name="airports").get("default")
routes = load_dataset("kylianmallet/openflights", name="routes").get("default")

print(airports.head())

Efficient joins using pandas / Polars / Apache Arrow:

import polars as pl
from datasets import load_dataset

d_airlines = load_dataset("kylianmallet/openflights", name="airlines").get("default")
d_routes = load_dataset("kylianmallet/openflights", name="routes").get("default")

airlines = pl.from_arrow(d_airlines.data.table)
routes = pl.from_arrow(d_routes.data.table)

joined = routes.join(
    airlines,
    left_on="AirlineID",
    right_on="AirlineID",
    how="left"
)

print(joined.head())

Licensing & Attribution

This dataset is distributed under the Open Database License (ODbL 1.0).

I do not own or claim ownership of this data.
Full copyright and database rights remain with OpenFlights.

If using this dataset in research or products, attribution to OpenFlights is required.
See: https://opendatacommons.org/licenses/odbl/1-0/

Source

Original raw data collected and maintained by:

OpenFlights
https://openflights.org/data

Many thanks to the contributors who keep the dataset updated.