Software

Project LinkageX

Project ‘LinkageX’ is the Swiss Army knife for SDMX. Aimed at data scientists and developers, LinkageX simplifies the use of SDMX data and metadata, enabling seamless integration and full utilization of the SDMX metamodel. This powerful Python-based toolkit streamlines SDMX-related workflows, enhancing data synchronization and harmonization efficiency and effectiveness.

Software

pysdmx, a LinkageX resource

pysdmx is a pragmatic and opinionated library written in Python. It focuses on simplicity, providing a subset of SDMX functionalities without requiring advanced knowledge of SDMX.

Software

gingado, a LinkageX resource

gingado is a machine learning library focused on economics and finance use cases. This package aims to be suitable for beginners and advanced users alike. Use cases may range from programmatic data retrievals using SDMX to experimentation with machine learning-based econometric estimators to more complex forecasting pipelines used in production.

Past Webinar

Introduction to pysdmx, key use cases and hands-on demo

Past Webinar

Leveraging SDMX for machine learning in economics with the BIS open-source library gingado

Software

SDMX Connectors

The SDMX Connectors is a set of plugins that can be installed in the most popular data tools, providing functions for easily and seamlessly downloading data from SDMX providers implementing the SDMX REST API.

Event

IFC Workshop on "Data Science in Central Banking" - Part 2

Part 2: Data Science in Central Banking: Applications and tools , 14-17 Feb 2022, virtual event hosted by the Bank for International Settlements.