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-0.19.1.tar.gz (158.6 kB view details)

Uploaded Source

Built Distribution

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

sdmxlib-0.19.1-py3-none-any.whl (195.4 kB view details)

Uploaded Python 3

File details

Details for the file sdmxlib-0.19.1.tar.gz.

File metadata

  • Download URL: sdmxlib-0.19.1.tar.gz
  • Upload date:
  • Size: 158.6 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-0.19.1.tar.gz
Algorithm Hash digest
SHA256 7f683807ee2690cb4885527a536bb06b02d68d7bc5e55050cc60a2e0a314828b
MD5 ef1ca082104fe1a83b68b8924fc3d7b9
BLAKE2b-256 1a3bc4d71f54a39e6e4655935a65f1485a428764df8a42c14e57b09e5c4c230f

See more details on using hashes here.

File details

Details for the file sdmxlib-0.19.1-py3-none-any.whl.

File metadata

  • Download URL: sdmxlib-0.19.1-py3-none-any.whl
  • Upload date:
  • Size: 195.4 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-0.19.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d539998530878fe7e4ea75b84293c532e95ca70aefdcec7edc4e846ae2a71655
MD5 3530fa31e55e7dcd640f1c1efcf4e098
BLAKE2b-256 6cfb330b7a317c610622a3698e9f7af7fe91a8d40d5a5f7eb79bb34c276eb12e

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