curies 0.7.9 Documentation

Uniform resource identifiers (URIs) and compact URIs (CURIEs) have become the predominant syntaxes for identifying concepts in linked data applications. Therefore, efficient, faultless, and idiomatic conversion between them is a crucial low-level utility whose need is ubiquitous across many codebases.

curies fills this need. This Python package can be used by a variety of people:

  1. Data Scientist - someone who consumes and modifies data to suit an analysis or application. For example, they might want to convert tabular data containing CURIEs into IRIs, translate into RDF, then query with SPARQL.

  2. Curator - someone who creates data. For example, an ontologist may want to curate using CURIEs but have their toolchain 1) validate the syntax and semantics and 2) convert to IRIs for their data persistence

  3. Data Consumer - someone who consumes data. This kind of user likely won’t interact with curies directly, but will likely use tools that build on top of it. For example, someone using the Bioregistry resolution service uses this package’s expansion utilities indirectly.

  4. Software Developer - someone who develops tools to support data creators, data consumers, and other software developers. For example, a software developer might want to make their toolchain more generic for loading, merging, and outputting prefix maps and extended prefix maps.

For many users, expansion (CURIE to URI) and contraction (URI to CURIE) are the two most important tools.

import curies

# Get a converter
converter = curies.get_obo_converter()

>>> converter.compress("")

>>> converter.expand("CHEBI:1")

See the tutorial for more pre-defined converters, information on defining custom converters, chaining converters, and more.


The most recent release can be installed from PyPI with:

$ pip install curies

The most recent code and data can be installed directly from GitHub with:

$ pip install git+

This package currently supports both Pydantic v1 and v2. See the Pydantic migration guide for updating your code.