Sdmx Python Packages

sdmx1

SDMX information model and client in Python

vtlengine

A Validation and Transformation Language engine (VTL), written in Python. Compatible with the SDMX standard

pysdmx

Your opinionated Python SDMX library

abs-mcp

Query the Australian Bureau of Statistics in plain English from Claude or any MCP client. SDMX hidden behind 5 simple tools, 10 curated dataflows.

fedstat

Неофициальный Python-клиент к fedstat.ru (ЕМИСС): скачивание показателей с фильтрами в pandas.DataFrame

statcan-mcp-server

MCP server + CLI for Statistics Canada (StatCan) — access 7,000+ Canadian statistical tables via WDS and SDMX REST APIs

dsss

A dead-simple SDMX server

sdmxthon

Library with SDMX to Pandas, Pandas to SDMX, SDMX validation and SDMX metadata validation

global-education-mcp

MCP server for international education data – UNESCO UIS (4,000+ indicators) and OECD Education at a Glance via SDMX. No API keys required.

imf-fx

High-performance Python client for IMF SDMX 3.0 exchange-rate data (USD, EUR, SDR) for financial modeling and development finance systems.

mcp-nbb

MCP server for the National Bank of Belgium SDMX statistical API — 221 dataflows, 6 tools, 3 resources, bundled enriched catalogue.

unicefdata

unicefData is an open data and analytics platform led by UNICEF’s Office of the Chief Statistician, providing reproducible, standards-based tools for accessing and using official child-related statistics.

parsimony

A lightweight Python framework for financial data discovery, indexing, retrieval and ingestion.

simpledmx

A minimalistic experience with SDMX that fetches all data from sources

sdmxflow

SDMX ingestion for statistical data warehouses: reproducible datasets, metadata history, and exported codelists in an append-only structure.

parsimony-core

A lightweight Python framework for financial data discovery, indexing, retrieval and ingestion.