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...
Tools for reading SDMX data and metadata in R
-
Updated
Mar 26, 2024 - R
This repository is used for maintaining the SDMX RESTful web services specification.
-
Updated
Jun 11, 2024
World Bank Linked Data
-
Updated
Aug 23, 2022 - XSLT
This repository is used for maintaining the SDMX-CSV message specifications.
-
Updated
Oct 27, 2021
🚀 Linked SDMX
-
Updated
Oct 26, 2014 - XSLT
OECD data mining using pandasdmx and pandas
-
Updated
May 10, 2020 - Python
BIS (Bank for International Settlements) Linked Data
-
Updated
Aug 10, 2014 - Shell
-
Updated
May 28, 2024 - Java
IMF (International Monetary Fund) Linked Data
-
Updated
Aug 10, 2014 - Shell
SDMX Information Model - UML model and functional description, definition of classes, associations and attributes
-
Updated
May 7, 2024