Hi, Two years after the 0.9 release I am pleased to announce the availability of pandaSDMX 1.0.0. This is a major feature release including rewrites in virtually all areas. Certain backwards-incompatible API changes appeared inevitable, but are largely outweighed by a host of new and enhanced features. Highlights include: • more complete and accurate implementation of the SDMX information model including hierarchical code-lists and facets. This feature was overdue. It will considerably facilitate the interpretation and representation of data and metadata. • Better handling of idiosyncrasies of data sources should ease data acquisition in corner-cases • Streamlined API and more informative string representations for interactive data acquisition and exploration • The information model has been decoupled from the XML and JSON readers so that arbitrary data sources outside the SDMX ecosystem can be embedded programmatically. This shift in architecture could eventually seed the transformation of pandaSDMX from a pure client library to an end-to-end SDMX platform for the generation of SDMX files served over HTTP. • Easier and more flexible configuration of HTTP connections through user-provided requests Sessions • vastly extended test suite and streamlined documentation • Modern code base leveraging typing and pydantic Quick start and links ------------------------- • Installation (requires Python 3.7): $ pip install pandasdmx • Documentation: https:pandasdmx.readthedocs.io/ • Github: https://github.com/dr-leo/pandaSDMX Roadmap --------- • add an intake driver/plugin exposing SDMX datasets and metadata • provide conda package InternationalStrings: re-implement support for locale selection • support SDMXJSON structure-messages which have recently been added to the SDMX standard • Fix a few known issues Help wanted! Credits ----------- Many great people have generously contributed to this release. Even the lion's share of the development was temporarily shouldered by a single collaborator. A big thanks to all of them! What is pandaSDMX? ---------------------- pandaSDMX is an Apache 2.0-licensed Python library that implements SDMX 2.1 (ISO 17369:2013), a format for exchange of statistical data and metadata used by national statistical agencies, central banks, and international organisations. pandaSDMX can be used to: • explore the data and metadata available from many data providers such as the World Bank, International Monetary Fund, Eurostat, the ECB, OECD, and United Nations; • parse data and metadata in SDMX-ML (XML) or SDMX-JSON formats—either: o from local files, or o retrieved from SDMX web services, with query validation and caching; • convert data and metadata into pandas objects, for use with the analysis, plotting, and other tools in the Python data ecosystem.