# \[ANN\] SDMXer and SDMXerWizard: official statistics for Julia with SDMX

**URL:** <https://discourse.julialang.org/t/ann-sdmxer-and-sdmxerwizard-official-statistics-for-julia-with-sdmx/135588>\
**Category:** Package Announcements\
**Tags:** package, statistics, data\
**Created:** [February 12, 2026, 3:03am UTC](https://discourse.julialang.org/t/ann-sdmxer-and-sdmxerwizard-official-statistics-for-julia-with-sdmx/135588 "2026-02-12T03:03:21Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![gvdr](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/gvdr/32/6387_2.png) [@gvdr](https://discourse.julialang.org/u/gvdr)\
**Post date:** [February 12, 2026, 3:03am UTC](https://discourse.julialang.org/t/ann-sdmxer-and-sdmxerwizard-official-statistics-for-julia-with-sdmx/135588/1 "2026-02-12T03:03:21Z")

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SDMX is a global data modelling standard, especially for official statistics. It’s been adopted by many National Statistics Offices, and a large number of international organizations. It’s a very rich data+metadata format, although not always the easiest to operate with.

I have coded up [SDMXer](http://github.com/baffelan/sdmxer.jl) and [SDMXerWizard](http://github.com/baffelan/SDMXerWizard.jl) to handle SDMX data and providers in Julia.

The two library integrate each other. SDMXer offer basic handling of SDMX artefact / data, while SDMXerWizard tries to integrate LLM services to perform more advanced operations regarding data validation and similar.

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**Author:** ![gvdr](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/gvdr/32/6387_2.png) [@gvdr](https://discourse.julialang.org/u/gvdr)\
**Post date:** [February 12, 2026, 3:04am UTC](https://discourse.julialang.org/t/ann-sdmxer-and-sdmxerwizard-official-statistics-for-julia-with-sdmx/135588/2 "2026-02-12T03:04:05Z")

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PS they are still very actively in development, so I’ll register them in the global registry soon 🙂