{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/6"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/2"}],"enrichment":{"capability":"Reads, writes, and exchanges statistical data and metadata in SDMX formats (XML, JSON, CSV) and integrates with pandas for analysis.","skillfed_tags":["data-exchange","statistical-standards","international-data"],"use_cases":["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."],"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.\n\nThe package is built on six runtime dependencies\u2014lxml 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.","worth_installing":"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."},"id":"sdmx1","links":{"html":"https://skillfed.io/packages/sdmx1","md":"https://skillfed.io/packages/sdmx1.md","pypi":"https://pypi.org/project/sdmx1/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-07","license_spdx":null,"license_treatment":"permissive","name":"sdmx1","python_support":"supports_current","summary":"Statistical Data and Metadata eXchange (SDMX)"},"popularity":{"monthly_downloads":209942,"position":9506,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.27.0"}