---
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)
βΈ±
Contact Me
---
Table of Contents
- About the Dataset
- Datasets Structure
- Schema
- Usage
- Licensing & Attribution
- 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.
(back to top)
## 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` β `routes.AirlineID`
- `airports.AirportID` β `routes.SourceAirportID / DestinationAirportID`
(back to top)
## 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
(back to top)
## Usage
Load directly with π€ 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.