---
id: meteomatics
version: "4.0.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# meteomatics — Meteomatics API connector

License: permissive · Maintenance: active · Downloads: 129.5K/mo

## 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 above — verify before relying.

Connects Python applications to the Meteomatics Weather API to retrieve historic, current, and forecast weather data globally in time series and areal formats.

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

pip install meteomatics
uv add meteomatics
poetry add meteomatics

## Installing meteomatics

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.

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=[...]
)

Requires Python >= 3.9.0 and valid Meteomatics API credentials.

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_current
- Install friction: low
- Maintenance: active
- Downloads: 129.5K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

weather api client, meteomatics connector, weather data retrieval, forecast api python, weather time series, global weather data, rest weather api, weather-data, rest-api-client, geospatial

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