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airportsdata

Extensive database of location and timezone data for nearly every airport and landing strip in the world.

Worth itPyPI DatabaseReleased Aug 20262.5M downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — airportsdata-20260803-py3-none-any.whl
v20260803 · released 2026-08-03 · Python >=3.11

Yes. This is a lightweight, dependency-free reference database with active maintenance, no security vulnerabilities, and a permissive license. Install it if you need to look up airport codes, timezones, or coordinates in your application. The only caveat is that elevation data is noted as often inaccurate, so do not rely on it for precision work without independent verification.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.11 or later.
  • Low install friction; pure Python wheel with no runtime dependencies.
  • Actively maintained as of 2026-08-08, marked Production/Stable, and supports current Python versions (3.11–3.14).

License · maintenance · safety

MIT (permissive) — MIT license (permissive); you may use, modify, and distribute this package freely in commercial or private projects with minimal restrictions.

last release 2026-08-03 (11 days) · last repo commit 2026-08-08 · 161 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,510,050 downloads/mo, #3,034 on PyPI

Verify before relying

pip install airportsdata

import airportsdata
icao_airports = airportsdata.load()
print(icao_airports['KJFK'])
  • Whether elevation data accuracy issues noted in the description are documented or tracked in the repository.
  • How frequently the airport database is updated and whether updates are released as new package versions.
Same gist for agents: .md · .json

What it is and what it does

airportsdata is a static reference database packaged as a Python module, containing location, timezone, and identifier information for nearly every operational airport, landing strip, and some seaplane bases worldwide. It includes ICAO 4-letter codes, IATA 3-letter codes, FAA Location Identifiers, official names, city and subdivision data, elevation, latitude/longitude coordinates, and IANA timezone names. The data is sourced from Aeronautical Information Publications, ARINC databases, and aviation reference services, and excludes closed airports, heliports without IATA codes, and surface transportation stations.

You load the database into a Python dict keyed by your choice of identifier (ICAO, IATA, or FAA LID), then look up airport records by code. It has no external runtime dependencies and is distributed as a pure Python wheel, making installation and use straightforward. The package is actively maintained, supports modern Python versions, and carries no known vulnerabilities.

Use it for

  • Look up airport timezone or coordinates by ICAO code in flight scheduling or geolocation applications.
  • Resolve IATA airport codes to full location data (city, country, timezone) in travel booking systems.
  • Validate and enrich airport identifiers in aviation data pipelines or logistics software.
  • Populate dropdown menus or search autocomplete with airport names and codes in web applications.
  • Cross-reference FAA Location Identifiers to ICAO/IATA codes in U.S. aviation compliance or reporting tools.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

This is a lightweight, dependency-free reference database with active maintenance, no security vulnerabilities, and a permissive license. Install it if you need to look up airport codes, timezones, or coordinates in your application. The only caveat is that elevation data is noted as often inaccurate, so do not rely on it for precision work without independent verification.

Install

airportsdata on PyPI

Before you install

Low install friction; pure Python wheel with no runtime dependencies. Actively maintained as of 2026-08-08, marked Production/Stable, and supports current Python versions (3.11–3.14).

Requires Python 3.11 or later.

License in practice

MIT license (permissive); you may use, modify, and distribute this package freely in commercial or private projects with minimal restrictions.

Quickstart

pip install airportsdata

import airportsdata
icao_airports = airportsdata.load()
print(icao_airports['KJFK'])

Verify before relying

  • Whether elevation data accuracy issues noted in the description are documented or tracked in the repository.
  • How frequently the airport database is updated and whether updates are released as new package versions.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.11
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceActively maintained 11 days since the last release
Last repo commit
First released
Downloads2,510,050 / month, #3,034 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonTyping :: Typed

Evidence: airportsdata-20260803-py3-none-any.whl

Tags

Capabilities
airport data lookupICAO IATA airport codesairport timezone databaseairport location coordinatesairport reference data
Topics
airport-datareference-database
PyPI keywords
airportsaerodromesICAOIATA

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See also airporttime · FlightRadarAPI · flights · pyzipcode · tzwhere · country_list · pycountry · IP2Location · tzfpy · fast-flights