{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database/4"}],"enrichment":{"capability":"Bioregistry provides a unified Python interface to query, normalize, and parse identifiers and CURIEs across life science databases, ontologies, and other biological resources.","skillfed_tags":["bioinformatics","identifier-normalization","ontology"],"use_cases":["Normalize biological identifiers from different sources (e.g., 'CHEBI' \u2192 'chebi', 'taxonomy' \u2192 'ncbitaxon')","Parse a CURIE string into its canonical prefix and local identifier components","Convert between CURIE and IRI representations for biological resources","Resolve ambiguous or misspelled biological database prefixes to their canonical forms","Integrate identifier handling into bioinformatics pipelines that work with multiple ontologies"],"what_it_does":"Bioregistry is a community-maintained meta-registry that aggregates metadata about life science databases, ontologies, and persistent identifier systems. It provides Python functions to normalize biological prefixes (handling case variations and synonyms), parse CURIEs into normalized prefix-identifier pairs, and convert between CURIEs and IRIs using a comprehensive registry of provider URL patterns.\n\nThe package is designed for developers working with biological data who need to standardize identifier formats across heterogeneous sources. It handles common prefix variations found in OBO Foundry ontologies, MIRIAM, and other life science standards, and can parse IRIs from OLS, identifiers.org, and other well-known providers back into canonical CURIEs. The underlying registry is automatically updated daily and includes weekly health checks to verify that provider URLs remain functional.","worth_installing":"Yes. Bioregistry is actively maintained, has no known vulnerabilities, supports current Python versions (3.11+), and solves a real problem in bioinformatics: standardizing identifiers across fragmented biological databases. Low install friction and permissive licensing make it a straightforward addition to life science projects."},"id":"bioregistry","links":{"html":"https://skillfed.io/packages/bioregistry","md":"https://skillfed.io/packages/bioregistry.md","pypi":"https://pypi.org/project/bioregistry/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":"MIT","license_treatment":"permissive","name":"bioregistry","python_support":"supports_current","summary":"Integrated registry of biological databases and nomenclatures"},"popularity":{"monthly_downloads":173068,"position":10317,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.14.0"}