Skip to main content

SDMX structural metadata library for Python

Project description

sdmxlib

Note: This library has been written extensively with AI assistance (Claude Code). Users who are not comfortable with AI-generated code should take that into account before adopting it.

SDMX structural metadata library for Python. Fetch and navigate Data Structure Definitions, Codelists, Dataflows, and related artefacts from any SDMX REST endpoint — with plain attribute access, no XML or URN chasing required.

Quick start

import sdmxlib as sl

with sl.RestRegistry(sl.Provider.BIS) as reg:
    dsd = reg.get(sl.DataStructure, agency="BIS", id="WS_CBPOL").resolve()

    for dim in dsd.dimensions:
        if dim.is_enumerated:
            cl = dim.representation()
            print(f"{dim.id}: {cl.id} ({len(cl.codes)} codes)")
FREQ: CL_FREQ (7 codes)
REF_AREA: CL_BIS_IF_REF_AREA (44 codes)
INSTR_ASSET: CL_INSTR_ASSET (12 codes)
BORROWER_CTY: CL_BIS_IF_REF_AREA (44 codes)

Installation

uv add "sdmxlib @ git+https://gitlab.com/gabrielgellner/sdmxlib.git"

What it does

  • Connects to any SDMX 2.1 or 3.0 REST endpoint; built-in shortcuts for ECB, BIS, ESTAT, IMF, OECD, and the SDMX Global Registry via sl.Provider
  • Three resolution modes: browse() for catalogue scanning, fetch() for unresolved artefacts, resolve() for the full reference graph (with optional constraint-trimming via partial=True/False)
  • Returns fully resolved domain objects with plain attribute access — no XML, no URN chasing
  • Filter collections with lambdas or the item() expression API
  • Build SDMX artefacts locally and serialise to SDMX-ML or SDMX-JSON
  • LocalRegistry -- a DuckDB-backed persistent store for offline access with lazy codelist loading, automatic Ref resolution, and direct SQL code maps; supports shared connections and any-language queries
  • Reference metadata via MetadataStructure (MSD), Metadataflow, and MetadataSet — attach typed footnotes, methodology notes, or quality reports to any identifiable artefact. Definitions ride in StructureMessage; populated payloads ride in MetadataMessage (<mes:GenericMetadata> in SDMX-ML 3.0; metadata-schema envelope in SDMX-JSON 2.0). Both message kinds round-trip through LocalRegistry, JSON, and XML.
  • Integrates with Polars for schema generation and data validation
  • Fully typed — IDE completion and static analysis work throughout

Documentation

See the docs for the full cookbook, including:

  • Connecting to registries and choosing a resolution mode
  • Persisting artefacts in a local DuckDB store with LocalRegistry
  • Fetching observation data with sl.dim() filters and pivoting to wide format
  • Inspecting DSDs and building code maps for ETL pipelines
  • Generating Polars schemas from SDMX Data Structure Definitions
  • Browsing data catalogs and filtering dataflows
  • Working with constraints, hierarchies, and serialisation

Development

just check           # lint + typecheck
just test            # unit tests
just test-integration  # live endpoint tests (requires network)
just ci              # full pre-commit gate

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sdmxlib-0.23.0.tar.gz (172.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sdmxlib-0.23.0-py3-none-any.whl (210.0 kB view details)

Uploaded Python 3

File details

Details for the file sdmxlib-0.23.0.tar.gz.

File metadata

  • Download URL: sdmxlib-0.23.0.tar.gz
  • Upload date:
  • Size: 172.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.8 {"installer":{"name":"uv","version":"0.11.8","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for sdmxlib-0.23.0.tar.gz
Algorithm Hash digest
SHA256 e01c67f4517aec640339821a626cb949b4e38534bba78bfd7346e36efa47d732
MD5 e43d3784b53e75adad2d7988ba1d4103
BLAKE2b-256 14bd4f830e21910df90ef7540d991e6f76aa0215319951658eafbd576ff27d65

See more details on using hashes here.

File details

Details for the file sdmxlib-0.23.0-py3-none-any.whl.

File metadata

  • Download URL: sdmxlib-0.23.0-py3-none-any.whl
  • Upload date:
  • Size: 210.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.8 {"installer":{"name":"uv","version":"0.11.8","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for sdmxlib-0.23.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7d714b1df875bbcae933efb4fb884fb9554157390d00fc11c9e5ce2ca4d68b28
MD5 527b6d59227f9868fb5a6bfafec44fbf
BLAKE2b-256 c49080a784627aaa6e2b83d0b374a97899f2ca23ebe565c433e6a3194321a14f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page