opensdmx 0.2.5

Simple Python interface to any SDMX 2.1 REST API (Eurostat, ISTAT, and more)

opensdmx

Simple Python CLI and library for any SDMX 2.1 REST API. Default provider: Eurostat. Built-in support for ISTAT, OECD, ECB, World Bank, and more.

Best used with AI. opensdmx works well on its own, but it shines when driven by an AI agent: the CLI is designed to be composed, queried, and orchestrated step by step. For a guided, interactive experience — dataset discovery, schema exploration, filter selection, and data retrieval — pair it with the sdmx-explorer Agent Skill included in this repo.

Installation

As a CLI tool (recommended — available system-wide):

uv tool install opensdmx

As a library (for use in Python projects):

uv add opensdmx
# or
pip install opensdmx

CLI quick start

opensdmx search "unemployment"
opensdmx info une_rt_m
opensdmx constraints une_rt_m geo
opensdmx get une_rt_m --freq M --geo IT --sex T --out data.csv

Python quick start

import opensdmx

# Default provider: Eurostat
datasets = opensdmx.all_available()
print(datasets.head())

# Search by keyword
results = opensdmx.search_dataset("unemployment")

# One-liner retrieval (Eurostat default)
data = opensdmx.fetch("une_rt_m", freq="M", geo="IT", sex="T", age="TOTAL")

# Switch provider
opensdmx.set_provider("istat")
opensdmx.set_provider("oecd")
opensdmx.set_provider("ecb")

Providers

import opensdmx

# Built-in presets
opensdmx.set_provider("eurostat")   # default
opensdmx.set_provider("istat")
opensdmx.set_provider("oecd")
opensdmx.set_provider("ecb")
opensdmx.set_provider("worldbank")

# Custom provider (agency_id optional)
opensdmx.set_provider("https://mysdmx.org/rest")
opensdmx.set_provider("https://mysdmx.org/rest", agency_id="XYZ", rate_limit=1.0)

# Check active provider
opensdmx.get_provider()  # returns dict with base_url, agency_id, rate_limit, language

Note on output columns: Eurostat uses the compact SDMX-CSV format (dimensions + TIME_PERIOD + OBS_VALUE). Other providers (ECB, OECD, etc.) return the generic text/csv format, which includes additional series metadata columns (TITLE, UNIT, DECIMALS, etc.). This is expected behavior — filter columns with standard tools if needed.

Provider via CLI and environment variables

Use --provider (or -p) on any command, or set OPENSDMX_PROVIDER once for the whole session:

# Per-command
opensdmx search "inflation" --provider ecb
opensdmx get EXR --provider https://data-api.ecb.europa.eu/service --FREQ D

# Session-wide via env var
export OPENSDMX_PROVIDER=ecb
opensdmx search "inflation"
opensdmx get EXR --FREQ D --CURRENCY USD

# Custom URL with agency
export OPENSDMX_PROVIDER=https://mysdmx.org/rest
export OPENSDMX_AGENCY=XYZ
opensdmx get MYDATASET

Python API

Function	Description
set_provider(name_or_url, ...)	Set active provider ('eurostat', 'istat', or custom URL)
get_provider()	Return active provider config dict
all_available()	List all datasets → Polars DataFrame
search_dataset(keyword)	Search by keyword in description
load_dataset(id)	Create a dataset object (dict)
print_dataset(ds)	Print dataset summary
dimensions_info(ds)	Dimension metadata → Polars DataFrame
get_dimension_values(ds, dim)	Codelist values for a dimension
get_available_values(ds)	Values actually present in the data (via availableconstraint)
set_filters(ds, **kwargs)	Set dimension filters
reset_filters(ds)	Reset all filters to "." (all)
get_data(ds, ...)	Retrieve data → Polars DataFrame
fetch(id, ..., **filters)	One-liner: load dataset + set filters + get data
set_timeout(seconds)	Get/set API timeout (default: 300 s)
parse_time_period(series)	Convert SDMX time strings to dates

get_data and fetch parameters

Parameter	Type	Description
start_period	str	Start date: "2020", "2020-Q1", "2020-01"
end_period	str	End date (same formats)
last_n_observations	int	Return only last N observations per series
first_n_observations	int	Return only first N observations per series

Example: EU Unemployment Rate

import opensdmx
from plotnine import ggplot, aes, geom_line, geom_point, labs, theme_minimal, scale_x_date

# Eurostat monthly unemployment by sex and age
ds = opensdmx.load_dataset("une_rt_m")
ds = opensdmx.set_filters(ds, freq="M", geo="IT", sex="T", age="TOTAL", s_adj="SA", unit="PC_ACT")
data = opensdmx.get_data(ds, start_period="2015", last_n_observations=60)

import polars as pl
data = data.with_columns(pl.col("OBS_VALUE").cast(pl.Float64))

plot = (
    ggplot(data.to_pandas(), aes(x="TIME_PERIOD", y="OBS_VALUE"))
    + geom_line(color="#1f77b4", size=1)
    + geom_point(color="#1f77b4", size=0.8)
    + labs(title="Italy Unemployment Rate (Monthly)", x="Year", y="Rate (%)")
    + scale_x_date(date_breaks="2 years", date_labels="%Y")
    + theme_minimal()
)
plot.save("unemployment.png", dpi=150, width=10, height=5)

CLI

Commands

All commands accept --provider (-p) to select the provider.

Command	Description
opensdmx search <keyword> [--n N] [-p provider]	Keyword search in dataset descriptions (default: 20 results)
opensdmx search --semantic <query> [--n N]	Semantic search (requires opensdmx embed)
opensdmx embed [-p provider]	Build semantic embeddings cache via Ollama
opensdmx info <id> [-p provider]	Show dataset metadata and dimensions
opensdmx values <id> <dim> [-p provider]	Show codelist values for a dimension (case-insensitive)
opensdmx constraints <id> [dim] [-p provider]	Show values actually present in the dataflow (via availableconstraint)
opensdmx get <id> [--DIM VALUE] [--start-period P] [--end-period P] [--last-n N] [--first-n N] [--out file.csv|.parquet|.json] [-p provider]	Download data
opensdmx plot <id|file.csv> [--DIM VALUE] [--geom line|bar|barh|point|scatter] [--out file] [-p provider]	Plot data as chart
opensdmx blacklist [-p provider]	List and remove datasets from the unavailability blacklist

Examples

# Eurostat (default)
opensdmx search "unemployment"
opensdmx search "unemployment" --n 5
opensdmx info une_rt_m
opensdmx values une_rt_m FREQ          # case-insensitive: freq works too
opensdmx constraints une_rt_m
opensdmx constraints une_rt_m geo
opensdmx get une_rt_m --freq M --geo IT --out data.csv
opensdmx get une_rt_m --freq M --geo IT --out data.parquet
opensdmx plot une_rt_m --freq M --geo IT --geom line
opensdmx plot data.csv --geom scatter --x TIME_PERIOD --y OBS_VALUE

# Other providers
opensdmx search "disoccupazione" --provider istat
opensdmx get 151_929 --provider istat --FREQ A --REF_AREA IT --out data.csv
opensdmx search "GDP" --provider oecd
opensdmx search "inflation" --provider ecb

Semantic search setup

Requires Ollama with the nomic-embed-text-v2-moe model:

ollama pull nomic-embed-text-v2-moe
opensdmx embed              # build embeddings for default provider (eurostat)
opensdmx embed -p istat     # build embeddings for ISTAT
opensdmx search --semantic "unemployment"

Tip: semantic search matches meaning, not exact words. Try synonyms or related terms for better results (e.g. "jobless" instead of "unemployment").

Caching

Cache is namespaced per provider under ~/.cache/opensdmx/{AGENCY_ID}/.

File	Content	Default TTL
dataflows.parquet	Dataset catalog	7 days
cache.db — structures + codelists	Dimensions, codelist descriptions and values	30 days
cache.db — constraints	Available constraint values per dataflow	7 days

Environment variables:

Variable	Description
OPENSDMX_PROVIDER	Provider name or custom base URL (session-wide default)
OPENSDMX_AGENCY	Agency ID for custom URL providers
OPENSDMX_DATAFLOWS_CACHE_TTL	Dataset catalog TTL in seconds (default: 604800 — 7 days)
OPENSDMX_METADATA_CACHE_TTL	Structure/codelist TTL in seconds (default: 2592000 — 30 days)
OPENSDMX_CONSTRAINTS_CACHE_TTL	Constraints TTL in seconds (default: 604800 — 7 days)

See .env.example for a ready-to-use template.

Timeout

opensdmx.set_timeout()      # get current timeout (default: 300s)
opensdmx.set_timeout(600)   # set to 10 minutes

Acknowledgements

Inspired by istatR by @jfulponi and istatapi by @Attol8.

License

MIT License — Copyright (c) 2026 Andrea Borruso