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 61 public repositories matching this topic...
A Django implementation of the SDMX information model
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Nov 18, 2020 - Python
A project on how to use the SDMX Rest API to acess data in UNICEF's Data Warehouse Explorer.
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Jul 6, 2024 - Jupyter Notebook
Central inventory for SDMX tools and similar resources
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Jun 28, 2024
Get metadata elements from SDMX registries or DSDs
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Oct 14, 2021 - Jupyter Notebook
Translate SDMX artefacts for use in your local language
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Mar 8, 2024 - Python
Faceted Search UI for Enterprise SDMX Search Engine
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Aug 28, 2017 - JavaScript
UIS (UNESCO Institute for Statistics) Linked Data
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Aug 10, 2014 - Shell
FRB (Federal Reserve Board) Linked Data
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Apr 26, 2014 - Shell
SDMX to RDF Data Cube converter (alpha version)
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May 29, 2015 - Java
A minimalistic experience with SDMX that fetches all data from sources
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Feb 14, 2022 - Python
Dashboard (frontend) using data from SiS-CC.Stat. See https://github.com/thhomas/dashboard-creator for the backend and more general information.
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Jul 23, 2024 - TypeScript
ABS (Australian Bureau of Statistics) Linked Data
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Aug 10, 2014 - Shell
OECD (Organisation for Economic Co-operation and Development) Linked Data
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Aug 6, 2014 - Shell