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Analysis and Metrics","monthly_downloads":44,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"\u003ch1 align=\"center\"\u003e\n  \u003cimg src=\"docs/_assets/taxonopy_banner.svg\" alt=\"TaxonoPy banner\"\u003e\n\u003c/h1\u003e\n\n[![DOI](https://zenodo.org/badge/789041700.svg)](https://doi.org/10.5281/zenodo.15499454)\n\n[![PyPI - Version](https://img.shields.io/pypi/v/taxonopy.svg)](https://pypi.org/project/taxonopy)\n[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/taxonopy.svg)](https://pypi.org/project/taxonopy)\n\n## TaxonoPy: Reproducible, Traceable, and Scalable Biological Taxonomy Alignment\n\nTaxonoPy (taxon-o-pie) is a command-line tool for harmonizing large biodiversity datasets into a consistent taxonomy ready for AI applications. Built on the [Global Names Verifier (GNVerifier)](https://github.com/gnames/gnverifier), it provides complete provenance tracking, flexible resolution strategies, and batch processing of 100M+ records to address challenges in reproducibility and scale in massive multi-source taxonomy alignment.\n\n## Documentaion\nSee https://imageomics.github.io/TaxonoPy for documentation on installation, usage, and more.\n\n## Development\nSee the [Wiki Development Page](https://github.com/Imageomics/TaxonoPy/wiki/Development) for development instructions.\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.5281/zenodo.15499454"],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":[],"project_url":"https://ost.ecosyste.ms/api/v1/projects/348282","html_url":"https://ost.ecosyste.ms/projects/348282"}