$npx skillfedfor your agent

ecmwf-api-client

Python client for ECMWF web services API.

Worth itPyPI Scientific/EngineeringReleased Jun 202694.0K downloads / moApache License Version 2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — ecmwf_api_client-1.7.0-py3-none-any.whl
v1.7.0 · released 2026-06-17 · Python >=3.8

Yes. The package is actively maintained, has no external dependencies, supports modern Python versions (3.8–3.13), carries no known security vulnerabilities, and is licensed permissively. Install it if you need programmatic access to ECMWF IFS experiments or MARS archive data. The main constraint is that MARS access requires ECMWF authorization; anonymous access is limited to IFS experiments with reduced quality of service.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • ECMWF API credentials (URL, key, email) required for registered access; anonymous access available but with lower quality of service and limited to IFS research experiments only.
  • Low friction: pure Python wheel with no runtime dependencies.
  • Actively maintained with recent release 58 days ago and consistent commit activity.

License · maintenance · safety

Apache License Version 2.0 (permissive) — Apache License Version 2.0 (permissive). You can use, modify, and distribute this package freely in commercial and private projects, provided you include the license notice.

last release 2026-06-17 (58 days) · last repo commit 2026-06-17 · 96 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 93,965 downloads/mo, #13,355 on PyPI

Verify before relying

pip install ecmwf-api-client

from ecmwf_api_client import ECMWFDataServer

server = ECMWFDataServer()
server.retrieve({"dataset": "..."})
  • Whether the package handles automatic retry logic or rate-limiting for large requests.
  • Performance characteristics when retrieving large datasets or multiple concurrent requests.
  • Whether MARS access requires additional system-level setup beyond API credentials.
Same gist for agents: .md · .json

What it is and what it does

This is a Python client for ECMWF's Web API, providing two main entry points: ECMWFDataServer for retrieving IFS research experiments, and ECMWFService for accessing MARS (Meteorological Archival and Retrieval System) for authorized users. The package handles authentication via credentials stored in a config file or environment variables, and abstracts away the HTTP details of communicating with ECMWF's servers.

It is designed for researchers and developers who need programmatic access to ECMWF weather and climate data. The package supports both anonymous access (lower quality of service, IFS experiments only) and registered access (full MARS archive, better performance). Configuration is flexible: you can use a local config file, environment variables, or pass credentials directly in code. The package includes logging support and integrates with ECMWF's documentation on retrieval efficiency and request limits.

Use it for

  • Download IFS research experiment data for weather model validation or climate studies.
  • Retrieve historical meteorological data from MARS archive for authorized institutional users.
  • Automate batch retrieval of weather data as part of a data processing pipeline.
  • Access forecast data programmatically without manual web interface interaction.
  • Build monitoring or analysis tools that depend on ECMWF meteorological datasets.

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 no external dependencies, supports modern Python versions (3.8–3.13), carries no known security vulnerabilities, and is licensed permissively. Install it if you need programmatic access to ECMWF IFS experiments or MARS archive data. The main constraint is that MARS access requires ECMWF authorization; anonymous access is limited to IFS experiments with reduced quality of service.

Install

ecmwf-api-client on PyPI

Before you install

Low friction: pure Python wheel with no runtime dependencies. Actively maintained with recent release 58 days ago and consistent commit activity. Supports Python 3.8–3.13 and PyPy.

ECMWF API credentials (URL, key, email) required for registered access; anonymous access available but with lower quality of service and limited to IFS research experiments only.

License in practice

Apache License Version 2.0 (permissive). You can use, modify, and distribute this package freely in commercial and private projects, provided you include the license notice.

Quickstart

pip install ecmwf-api-client

from ecmwf_api_client import ECMWFDataServer

server = ECMWFDataServer()
server.retrieve({"dataset": "..."})

Verify before relying

  • Whether the package handles automatic retry logic or rate-limiting for large requests.
  • Performance characteristics when retrieving large datasets or multiple concurrent requests.
  • Whether MARS access requires additional system-level setup beyond API credentials.

Package facts

LicenseApache License Version 2.0 permissive
Python supportSupports the current Python release >=3.8
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceActively maintained 58 days since the last release
Last repo commit
First released
Downloads93,965 / month, #13,355 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 :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPy

Evidence: ecmwf_api_client-1.7.0-py3-none-any.whl

Tags

Capabilities
ECMWF weather data API clientmeteorological archive retrievalIFS experiments downloadMARS weather data accessECMWF web services Pythonweather forecast data retrievalclimate data API client
Topics
weather-datameteorologyapi-client

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “ECMWF weather data API client”

Give your agent the search over MCP, or paste the wish link into any chat.

More Scientific/Engineering packages

numpy Worth it
PyPI · Software Development · released Aug 2026

NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.

BSD-3-Clause AND 0BSD AND MIT AND Zlib AND CC0-1.0compiled wheel · 3.12+
1.1Bdownloads / mo
pandas Worth it
PyPI · Scientific/Engineering · released Jul 2026

pandas provides fast, flexible data structures (Series and DataFrame) for loading, cleaning, transforming, and analyzing labeled or relational data in Python.

BSD-3-Clausecompiled wheel · 3.11+
769.1Mdownloads / mo
scipy Worth it
PyPI · Libraries · released Jun 2026

scipy provides numerical algorithms for mathematics, science, and engineering—including optimization, integration, linear algebra, Fourier transforms, signal and image processing, and ODE solvers—built on numpy arrays.

BSD-3-Clausecompiled wheel · 3.12+
449.0Mdownloads / mo
scikit-learn Worth it
PyPI · Software Development · released Jun 2026

scikit-learn provides a comprehensive Python library for supervised and unsupervised machine learning, including classification, regression, clustering, dimensionality reduction, and model evaluation tools built on NumPy and SciPy.

Install it if you need to train, evaluate, or deploy supervised or unsupervised learning models.

BSD-3-Clausecompiled wheel · 3.11+
235.5Mdownloads / mo
dill Worth it
PyPI · Software Development · released Jan 2026

dill extends Python's pickle module to serialize and deserialize a much wider range of Python objects, including functions, lambdas, classes, and interpreter sessions, to byte streams for storage or network transmission.

BSD-3-Clausepure Python · 3.9+
208.1Mdownloads / mo
multiprocess Worth it
PyPI · Software Development · released Jan 2026

Multiprocess is an enhanced fork of Python's standard multiprocessing library that uses dill for better serialization, allowing you to spawn processes with a threading-like API and share complex objects between them.

Install it if you use multiprocessing and encounter pickle serialization limits with lambdas or complex objects.

BSD-3-Clausepure Python · 3.9+
202.7Mdownloads / mo

See also cdsapi · ecmwf-opendata · AEMET-OpenData · herbie-data · eccodeslib · ecmwf-datastores-client · eccodes · AI-WQ-package · earthkit-meteo · pdbufr