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metar

Metar - a package to parse METAR-coded weather reports

Worth itPyPI Python ModulesReleased Mar 2026150.4K downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — metar-2.0.1-py3-none-any.whl
v2.0.1 · released 2026-03-20 · Python >=3.10

Yes. The package is actively maintained, has zero known vulnerabilities, installs with no dependencies, and solves a specific, well-defined problem (METAR parsing) that has few alternatives. It's suitable for aviation weather applications, research, and any project needing to decode standardized weather reports. The BSD license is permissive and poses no restrictions.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later.
  • Low friction: pure Python wheel with no runtime dependencies.
  • Actively maintained as of 2026-07-20 with recent release activity.

License · maintenance · safety

permissive license (permissive) — BSD License (permissive): you can use, modify, and distribute this package freely in commercial and private projects, provided you retain the copyright notice and disclaimer.

last release 2026-03-20 (147 days) · last repo commit 2026-07-20 · 303 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 150,386 downloads/mo, #10,965 on PyPI

Verify before relying

from metar.Metar import Metar
obs = Metar('METAR KEWR 111851Z VRB03G19KT 2SM 22/22 A2987')
print(obs.temp)
print(obs.wind_speed)
  • Whether the package handles all regional METAR variants beyond WMO and US conventions mentioned in the description.
  • Real-world accuracy and completeness of parsed remarks groups across different reporting stations.
Same gist for agents: .md · .json

What it is and what it does

Metar is a Python library for decoding METAR and SPECI reports—standardized coded weather observations used in aviation. It follows the World Meteorological Organization (WMO) specification and US Federal Meteorological Handbook conventions, extracting structured data like temperature, dew point, wind speed and direction, visibility, pressure, and weather phenomena from raw text reports. The library parses main-body groups and most US remark groups (cumulative precipitation, min/max temperature, peak wind, sea-level pressure), and accepts many international format variants.

The package has no external dependencies and installs as a pure Python wheel, making it lightweight and straightforward to integrate. It's tested against Python 3.10–3.14 and maintained actively on GitHub. You can use it to download and decode current METAR data from NOAA sources, build aviation weather dashboards, or analyze historical weather patterns for flight planning and meteorological research.

Use it for

  • Download and decode current METAR reports for specific airports using NOAA data sources.
  • Extract structured weather data (temperature, wind, visibility) from raw METAR text for aviation applications.
  • Build weather monitoring or flight-planning tools that parse and display decoded meteorological observations.
  • Analyze historical METAR data to study weather patterns and trends for research or operational purposes.
  • Validate or test METAR parsing logic in aviation software or weather APIs.

Worth the install?

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

Worth it

Yes.

The package is actively maintained, has zero known vulnerabilities, installs with no dependencies, and solves a specific, well-defined problem (METAR parsing) that has few alternatives. It's suitable for aviation weather applications, research, and any project needing to decode standardized weather reports. The BSD license is permissive and poses no restrictions.

Install

metar on PyPI

Before you install

Low friction: pure Python wheel with no runtime dependencies. Actively maintained as of 2026-07-20 with recent release activity.

Requires Python 3.10 or later.

License in practice

BSD License (permissive): you can use, modify, and distribute this package freely in commercial and private projects, provided you retain the copyright notice and disclaimer.

Quickstart

from metar.Metar import Metar
obs = Metar('METAR KEWR 111851Z VRB03G19KT 2SM 22/22 A2987')
print(obs.temp)
print(obs.wind_speed)

Verify before relying

  • Whether the package handles all regional METAR variants beyond WMO and US conventions mentioned in the description.
  • Real-world accuracy and completeness of parsed remarks groups across different reporting stations.

Package facts

Licensepermissive license permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceActively maintained 147 days since the last release
Last repo commit
First released
Downloads150,386 / month, #10,965 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 :: Science/ResearchLicense :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: PythonTopic :: Software Development :: Libraries :: Python Modules

Evidence: metar-2.0.1-py3-none-any.whl

Tags

Capabilities
parse METAR weather reportsaviation weather data extractionMETAR decoderweather observation parsermeteorological data parsingICAO weather codesaviation weather analysis
Topics
aviation-weathermeteorologydata-parsing

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See also atcf-data-parser · eccodeslib · earthkit-meteo · MetPy · FlightRadarAPI · meteostat · pdbufr · xradar · cfgrib · env_canada