openmeteo-sdk
Open-Meteo Python SDK
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries a permissive MIT license, and fills a clear role for developers building Open-Meteo clients in Python. It is essential if you want to use the Open-Meteo API's FlatBuffers format; unnecessary if you only need JSON responses.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction install with a single runtime dependency (flatbuffers).
- Package is actively maintained with a recent release 16 days ago and ongoing repository activity.
License · maintenance · safety
permissive license (permissive) — MIT license permits commercial and private use with minimal restrictions, making it suitable for most projects.
last release 2026-07-29 (16 days) · last repo commit 2026-08-10 · 62 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 399,126 downloads/mo, #6,951 on PyPI
Alternatives
Verify before relying
pip install openmeteo-sdk
from openmeteo_sdk import Model
from openmeteo_sdk.Variable import Variable
# Decode FlatBuffers response from Open-Meteo API
hourly = response.Hourly()
hourly_variables = list(map(lambda i: hourly.Variables(i), range(0, hourly.VariablesLength())))
temperature = next(filter(lambda x: x.Variable() == Variable.temperature and x.Altitude() == 2, hourly_variables))- Whether the package includes helper utilities beyond schema definitions for common decoding tasks
- Performance benchmarks comparing FlatBuffers decoding to JSON parsing for typical weather datasets
- Support status for Elevation and Geocoding API schemas mentioned as 'not yet available'
What it is and what it does
The openmeteo-sdk package provides pre-compiled FlatBuffers schema definitions for the Open-Meteo weather API in Python. It enables developers to decode binary-encoded weather responses directly rather than working with JSON, which trades parsing overhead for significantly faster data processing—especially valuable for historical weather data and low-power devices. The package itself contains only schema definitions and enumerations (Model, Variable, Unit, Aggregation, Probability); it does not include HTTP client code, so you pair it with your own HTTP library to fetch and decode responses.
The schemas support Weather, Marine, Ensemble, Flood, and Climate API endpoints, with responses structured as WeatherApiResponse objects containing current, hourly, daily, weekly, monthly, and minutely_15 data. Each variable carries metadata like unit, altitude, pressure level, and aggregation type. The package maintains binary compatibility across releases and follows semantic versioning, ensuring stable integration into client libraries.
Use it for
- Build a Python weather client library that fetches Open-Meteo data in FlatBuffers format for faster decoding than JSON
- Process large historical weather datasets where binary parsing speed significantly reduces computation time
- Display weather forecasts on low-power or embedded devices where energy savings from binary encoding matter
- Decode temperature, wind, precipitation, and other meteorological variables with strict typing guarantees
- Integrate Open-Meteo weather data into scientific or climate analysis pipelines requiring efficient data handling
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 a permissive MIT license, and fills a clear role for developers building Open-Meteo clients in Python. It is essential if you want to use the Open-Meteo API's FlatBuffers format; unnecessary if you only need JSON responses.
Install
openmeteo-sdk on PyPI
Before you install
Low friction install with a single runtime dependency (flatbuffers). Package is actively maintained with a recent release 16 days ago and ongoing repository activity.
License in practice
MIT license permits commercial and private use with minimal restrictions, making it suitable for most projects.
Quickstart
pip install openmeteo-sdk
from openmeteo_sdk import Model
from openmeteo_sdk.Variable import Variable
# Decode FlatBuffers response from Open-Meteo API
hourly = response.Hourly()
hourly_variables = list(map(lambda i: hourly.Variables(i), range(0, hourly.VariablesLength())))
temperature = next(filter(lambda x: x.Variable() == Variable.temperature and x.Altitude() == 2, hourly_variables))Verify before relying
- Whether the package includes helper utilities beyond schema definitions for common decoding tasks
- Performance benchmarks comparing FlatBuffers decoding to JSON parsing for typical weather datasets
- Support status for Elevation and Geocoding API schemas mentioned as 'not yet available'
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8.1 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageflatbuffers |
| Maintenance | Actively maintained 16 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 399,126 / month, #6,951 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: openmeteo_sdk-1.28.0-py3-none-any.whl
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See also flatbuffers · openmeteo-requests · open-meteo · meteostat · simple-dwd-weatherforecast · meteofrance-api · accuweather · irm-kmi-api · pyowm · semantic-link-functions-meteostat