--- 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" ---
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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) βΈ± 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 πŸ€— Datasets: ```python 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: ```python 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/](https://opendatacommons.org/licenses/odbl/1-0/) ## Source Original raw data collected and maintained by: **OpenFlights** [https://openflights.org/data](https://openflights.org/data) Many thanks to the contributors who keep the dataset updated.