ecmwf-datastores-client
ECMWF Data Stores Service (DSS) API Python client
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. Install it if you need to access ECMWF climate or weather datasets from Python; the API is straightforward and the client handles both simple and complex retrieval patterns. The main prerequisite is having valid ECMWF credentials.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires valid ECMWF API credentials (url and key) via environment variables ECMWF_DATASTORES_URL and ECMWF_DATASTORES_KEY, or configuration file at ~/.ecmwfdatastoresrc, or passed as keyword arguments to Client().
- Low install friction with four straightforward runtime dependencies (attrs, multiurl, requests, typing-extensions).
- Actively maintained with a release 14 days ago and marked as Production/Stable.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; attribution and license notice required in distributions.
last release 2026-07-31 (14 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 547,686 downloads/mo, #6,066 on PyPI
Alternatives
Verify before relying
pip install ecmwf-datastores-client
from ecmwf.datastores import Client
client = Client()
client.retrieve('reanalysis-era5-pressure-levels', {'variable': ['temperature'], 'year': ['2022']}, target='data.grib')- Whether multiurl dependency handles retry logic or failover across multiple data sources
- Performance characteristics for large dataset retrievals or concurrent requests
- Whether the client supports streaming or requires full download before access
What it is and what it does
This is a Python client for ECMWF's Data Stores Service API, designed to simplify access to climate and weather datasets hosted by the European Centre for Medium-Range Weather Forecasts. It wraps HTTP requests to the DSS API and provides methods for browsing available collections, submitting data retrieval requests, and downloading results. The client supports both blocking (synchronous) and non-blocking (asynchronous) workflows: you can call retrieve() to wait for data, or submit() to queue a job and check status later.
The package requires Python 3.10 or later and depends on requests for HTTP communication, attrs for data structures, multiurl for URL handling, and typing-extensions for type hints. It is marked Production/Stable by ECMWF and supports current Python versions through 3.14. Configuration is flexible—credentials can come from environment variables, a config file, or direct arguments—making it suitable for both interactive scripts and automated pipelines.
Use it for
- Download ERA5 reanalysis data for specific dates, variables, and pressure levels for climate research
- Retrieve historical weather datasets programmatically for machine learning training pipelines
- Query available collections and their metadata to explore what climate data is accessible
- Submit long-running data requests asynchronously and check job status without blocking
- Integrate ECMWF data retrieval into automated scientific workflows or data processing pipelines
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 is licensed permissively. Install it if you need to access ECMWF climate or weather datasets from Python; the API is straightforward and the client handles both simple and complex retrieval patterns. The main prerequisite is having valid ECMWF credentials.
Install
ecmwf-datastores-client on PyPI
Before you install
Low install friction with four straightforward runtime dependencies (attrs, multiurl, requests, typing-extensions). Actively maintained with a release 14 days ago and marked as Production/Stable.
Requires valid ECMWF API credentials (url and key) via environment variables ECMWF_DATASTORES_URL and ECMWF_DATASTORES_KEY, or configuration file at ~/.ecmwfdatastoresrc, or passed as keyword arguments to Client().
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; attribution and license notice required in distributions.
Quickstart
pip install ecmwf-datastores-client
from ecmwf.datastores import Client
client = Client()
client.retrieve('reanalysis-era5-pressure-levels', {'variable': ['temperature'], 'year': ['2022']}, target='data.grib')Verify before relying
- Whether multiurl dependency handles retry logic or failover across multiple data sources
- Performance characteristics for large dataset retrievals or concurrent requests
- Whether the client supports streaming or requires full download before access
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesattrsmultiurlrequeststyping-extensions |
| Maintenance | Actively maintained 14 days since the last release |
| First released | |
| Downloads | 547,686 / month, #6,066 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: Science/ResearchOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering |
Evidence: ecmwf_datastores_client-0.5.3-py3-none-any.whl
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See also cdsapi · ecmwf-opendata · ecmwf-api-client · earthkit-meteo · earthkit-data · AI-WQ-package · earthkit-utils · eccodeslib · meteostat · eccodes