A Django implementation of the SDMX information model
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Updated
Nov 18, 2020 - Python
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.
A Django implementation of the SDMX information model
A project on how to use the SDMX Rest API to acess data in UNICEF's Data Warehouse Explorer.
Central inventory for SDMX tools and similar resources
Get metadata elements from SDMX registries or DSDs
Translate SDMX artefacts for use in your local language
Faceted Search UI for Enterprise SDMX Search Engine
UIS (UNESCO Institute for Statistics) Linked Data
FRB (Federal Reserve Board) Linked Data
SDMX to RDF Data Cube converter (alpha version)
A minimalistic experience with SDMX that fetches all data from sources
Dashboard (frontend) using data from SiS-CC.Stat. See https://github.com/thhomas/dashboard-creator for the backend and more general information.
ABS (Australian Bureau of Statistics) Linked Data
Spanish translation for Istat Metadata Manager
ECB (European Central Bank) Linked Data
OECD (Organisation for Economic Co-operation and Development) Linked Data