SDMX

simpledmx is a minimalistic Python package experience with SDMX that fetches all data from sources defined by the user. Although SDMX is very flexible, the main use case of simpledmx is when a user wants to download all available data from a specific source(s), for a given frequency (eg, annual, semi-annual, quarterly, monthly, daily). simpledmx uses pandasdmx as the backend to explore and fetch datasets from sources using SDMX. Further details on the sources and dataflows can be found in the pandasdmx documentation. simpledmx returns only the data, not the variable names. The user can learn more about the specific data at hand from the column names: each variable starts with its source, then the dataflow, followed by the key(s) (except for the time period) of that specific dataflow. in some cases, parsing the files downloaded from the original sources can take a long time. This is an issue with XML parsing, not with simpledmx or its backend ( pandasdmx ) specifically.