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SDMX
SDMX (Statistical Data and Metadata eXchange) is a standardized framework for sharing statistical data and metadata. Developed by national statistical agencies, central banks, and international organizations, SDMX enables seamless exchange of structured data across systems. It encompasses RESTful web services, XML (SDMX-ML), JSON (SDMX-JSON), and CSV formats.
Here are 12 public repositories matching this topic...
OECD data mining using pandasdmx and pandas
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May 10, 2020 - Python
Library with SDMX to Pandas, Pandas to SDMX, SDMX validation and SDMX metadata validation
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May 28, 2024 - Python
A minimalistic experience with SDMX that fetches all data from sources
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Feb 14, 2022 - Python
A Django implementation of the SDMX information model
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Nov 18, 2020 - Python
Translate SDMX artefacts for use in your local language
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Mar 8, 2024 - Python