Tools
The SDMX and official statistics community produces a lot of great open source software tools. sdmx.io brings these together to help solve concrete problems, with practical guidance and worked solutions to download and deploy.
sdmx.io ecosystem
The sdmx.io ecosystem includes a collection of open source SDMX software tools cooperating to solve official statistics use cases.
Learn more
Fusion Metadata Registry
FMR structural metadata registry helps official statistics organisations externalise and gain control of their statistical structural metadata with the benefits of maintainability, re-use, standardisation, harmonisation and improved metadata and data governance.
Learn more
.Stat Suite
The .Stat Suite is a standard-based, componentised, open-source platform for the efficient production and dissemination of high-quality statistical data.
Learn more
FMR Workbench
The FMR Workbench is a remote registry browser and metadata maintenance tool which brings the strengths and capabilities of the FMR User Interface to any SDMX compliant registry, implementing an SDMX RESTful API.
Learn more
SDMX Dashboard Generator
The SDMX Dashboard Generator is an open-source application that generates dynamic dashboards
Learn more
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.
Learn more
SDMX Test Compatibility Kit
The SDMX TCK is a tool for measuring the compliance and coverage of an SDMX RESTful endpoint against the available SDMX REST API versions.
Learn more
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.
Learn more
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.
Learn more