{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/9"}],"enrichment":{"capability":"Bionty provides access to and management of biological ontologies\u2014registries of standardized terms for genes, proteins, cell types, tissues, and other biological entities\u2014with tools to create records, search public sources, and build custom in-house ontologies.","skillfed_tags":["ontology-registry","bioinformatics","data-standardization"],"use_cases":["Standardize gene and protein names in a genomics analysis pipeline by looking up canonical identifiers against public gene registries.","Build a cell-type annotation system for single-cell RNA-seq data by creating records tied to standardized CellType and CellMarker ontologies.","Create an in-house tissue or experimental-factor taxonomy by extending public ontologies with custom hierarchical relationships.","Prevent duplicate or misspelled biological entity entries in a research database by validating against public ontology sources.","Manage multiple versions of a biological ontology within a single application."],"what_it_does":"Bionty is a registry layer for biological ontologies, providing standardized access to public biological entity vocabularies (genes, proteins, cell types, tissues, experimental factors, and others) and tools to create, search, and manage records against those sources. It wraps ontology data from public sources and allows you to create local records that reference standardized terms, reducing typos and duplications in biological datasets.\n\nThe package is built on lamindb-core and designed for bioinformatics workflows where consistent entity naming and hierarchical relationships matter. You can extend public ontologies with custom in-house terms, manage multiple versions of the same ontology, and use synonyms and abbreviations to handle naming variations. It's most useful in contexts where you're building or curating biological datasets and need to enforce consistency against established standards.","worth_installing":"Yes, if you are building bioinformatics or biomedical data pipelines where standardized biological entity naming and ontology management are requirements. The low install friction, active maintenance, and lack of known vulnerabilities make it safe to adopt. However, verify the license terms before use in proprietary projects, as the metadata does not clearly declare one. If you don't need ontology standardization, it adds unnecessary complexity."},"id":"bionty","links":{"html":"https://skillfed.io/packages/bionty","md":"https://skillfed.io/packages/bionty.md","pypi":"https://pypi.org/project/bionty/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-03","license_spdx":null,"license_treatment":"unclear","name":"bionty","python_support":"supports_current","summary":"Basic biological entities, coupled to public ontologies [`source <https://github.com/laminlabs/bionty/blob/main/bionty/models.py>`__]."},"popularity":{"monthly_downloads":81115,"position":14248,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.4.3"}