meteomatics
Meteomatics API connector
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive MIT license. It is well-suited for any Python project that needs to integrate Meteomatics weather data. The main consideration is that you must have valid API credentials and understand the service's rate limits and pricing model.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.9.0 and valid Meteomatics API credentials.
- Low install friction with a pure-Python wheel distribution.
- The package is actively maintained with a recent commit on 2026-06-15 and a release on 2026-04-29, indicating ongoing support.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
last release 2026-04-29 (107 days) · last repo commit 2026-06-15 · 56 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 129,519 downloads/mo, #11,666 on PyPI
Alternatives
Verify before relying
pip install meteomatics
import meteomatics.api as api
df = api.query_time_series(
coordinates=[...],
start_date=...,
end_date=...,
interval=...,
parameters=[...]
)- Whether the package requires API credentials or authentication setup beyond standard pip installation
- Specific rate limits or usage quotas imposed by the Meteomatics API service
- Whether NetCDF output support requires additional system libraries
- Example coordinate values and parameter names for typical queries
What it is and what it does
Meteomatics is a Python client library that wraps the Meteomatics REST API, enabling programmatic access to global weather data including historical observations, current conditions, and forecasts. The API supports retrieval in multiple formats—time series and areal data—with optional geographic and temporal combinations available through NetCDF and WMS/WFS-compatible interfaces.
The package depends on standard data-handling libraries (pandas, requests, pytz, isodate) to manage API communication, time zone handling, and data serialization. It is designed for developers who need to integrate weather data into applications, analysis pipelines, or monitoring systems without building HTTP clients from scratch.
Use it for
- Fetch historical weather observations for a location to analyze past climate patterns or validate models.
- Retrieve forecast data for multiple coordinates to power weather-aware scheduling or alert systems.
- Export areal weather data in NetCDF format for integration with scientific computing workflows.
- Build a real-time weather dashboard by querying current conditions at regular intervals.
- Combine geographic and time series data for climate research or environmental assessments.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive MIT license. It is well-suited for any Python project that needs to integrate Meteomatics weather data. The main consideration is that you must have valid API credentials and understand the service's rate limits and pricing model.
Install
meteomatics on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. The package is actively maintained with a recent commit on 2026-06-15 and a release on 2026-04-29, indicating ongoing support.
Requires Python >= 3.9.0 and valid Meteomatics API credentials.
License in practice
MIT license is permissive, allowing free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
Quickstart
pip install meteomatics
import meteomatics.api as api
df = api.query_time_series(
coordinates=[...],
start_date=...,
end_date=...,
interval=...,
parameters=[...]
)Verify before relying
- Whether the package requires API credentials or authentication setup beyond standard pip installation
- Specific rate limits or usage quotas imposed by the Meteomatics API service
- Whether NetCDF output support requires additional system libraries
- Example coordinate values and parameter names for typical queries
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesisodatepandaspathlib2pytzrequests |
| Maintenance | Actively maintained 107 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 129,519 / month, #11,666 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3 |
Evidence: meteomatics-4.0.0-py3-none-any.whl
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See also meteofrance-api · accuweather · irm-kmi-api · open-meteo · AEMET-OpenData · PIconnect · dwdwfsapi · pyowm · pynws · overpy