sdmx1
Statistical Data and Metadata eXchange (SDMX)
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries no known vulnerabilities, and solves a real problem for anyone working with international statistical data standards. The permissive Apache 2.0 license poses no barrier. Install if you need to exchange data with SDMX-compliant services or work with SDMX-formatted files.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low friction install with six common dependencies (lxml, pandas, requests, packaging, python-dateutil, platformdirs).
- Active maintenance with a release 7 days ago.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache License 2.0 (permissive), allowing commercial and private use with minimal restrictions.
last release 2026-08-07 (7 days) · last repo commit 2026-08-07 · 46 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 209,942 downloads/mo, #9,506 on PyPI
Alternatives
Verify before relying
pip install sdmx1
import sdmx
from sdmx import Request
req = Request('WB')
data = req.data('NY_GDP_MKTP_CD')
df = data.to_pandas()- Whether the package supports all SDMX 2.1 and 3.0 features or a subset of the standards
- Performance characteristics when working with large datasets or many REST endpoints
What it is and what it does
sdmx1 is a Python implementation of the SDMX 2.1 and 3.0 standards for statistical data and metadata exchange. It lets you retrieve data from SDMX-REST web services operated by organizations like the World Bank, IMF, Eurostat, OECD, and UN, then read, write, and convert that data in SDMX-ML (XML), SDMX-JSON, and SDMX-CSV formats. The package integrates tightly with pandas, allowing you to transform SDMX data into DataFrames for use with the broader Python data science ecosystem.
The package is built on six runtime dependencies—lxml for XML handling, pandas for data structures, requests for HTTP access, packaging for version management, python-dateutil for date parsing, and platformdirs for configuration storage. It targets Python 3.10 and later and is actively maintained, with a release cycle measured in days.
Use it for
- Retrieve economic or financial data from World Bank, IMF, or Eurostat SDMX services and load directly into pandas for analysis.
- Convert SDMX-formatted files (XML, JSON, CSV) into pandas DataFrames for statistical processing.
- Publish your own statistical datasets using the SDMX information model for interoperability with other agencies.
- Automate data pipelines that fetch and transform SDMX data from multiple international statistical providers.
- Read and validate SDMX metadata structures to understand data definitions and hierarchies.
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 solves a real problem for anyone working with international statistical data standards. The permissive Apache 2.0 license poses no barrier. Install if you need to exchange data with SDMX-compliant services or work with SDMX-formatted files.
Install
sdmx1 on PyPI
Before you install
Low friction install with six common dependencies (lxml, pandas, requests, packaging, python-dateutil, platformdirs). Active maintenance with a release 7 days ago.
Requires Python 3.10 or later.
License in practice
Licensed under Apache License 2.0 (permissive), allowing commercial and private use with minimal restrictions.
Quickstart
pip install sdmx1
import sdmx
from sdmx import Request
req = Request('WB')
data = req.data('NY_GDP_MKTP_CD')
df = data.to_pandas()Verify before relying
- Whether the package supports all SDMX 2.1 and 3.0 features or a subset of the standards
- Performance characteristics when working with large datasets or many REST endpoints
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packageslxmlpackagingpandasplatformdirspython-dateutilrequests |
| Maintenance | Actively maintained 7 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 209,942 / month, #9,506 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersIntended Audience :: Financial and Insurance IndustryIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseOperating 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/EngineeringTopic :: Scientific/Engineering :: Information Analysis |
Evidence: sdmx1-2.27.0-py3-none-any.whl
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See also eurostat · imfp · pygexf · sas7bdat · ofxtools · pandas-read-xml · pyiceberg · pandas-datareader · pantab