TaxonKit: a cross-platform and efficient NCBI taxonomy toolkit
Abstract
SummaryTaxonKit is a command-line toolkit for rapid manipulation of NCBI taxonomy data. It provides executable binary files for major operating systems including Windows, Linux, and Mac OS X, and can be directly used without any dependencies nor local database buiding. TaxonKit demonstrates competitive performance in execution time compared to similar tools. The efficiency, scalability, and usability of TaxonKit enable researchers to rapidly investigate taxonomy data.\n\nAvailabilityTaxonkit is implemented in Go programming language. It is open-source and freely available for download and use from https://github.com/shenwei356/taxonkit.
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Abstract summary
Claude Opus 5.5 · xhigh effort · 2 Nov 2026 · from the abstract · CC BY-ND 4.0
TaxonKit is a dependency-free, cross-platform command-line toolkit written in Go for fast manipulation of National Center for Biotechnology Information (NCBI) taxonomy data without building a local database.
TaxonKit provides standalone command-line binaries for Windows, Linux, and Mac OS X to rapidly query and manipulate National Center for Biotechnology Information (NCBI) taxonomy data without external dependencies or local database construction.
Key results
ShownTaxonKit manipulates NCBI taxonomy data from the command line without requiring external dependencies or local database building, achieving competitive runtime performance relative to comparable tools.
Standalone Go binaries run on Windows, Linux, and Mac OS X; specific runtime benchmarks and comparator tools are not reported in the abstract. · Abstract
Methods, data and reproducibility
Implemented in the Go programming language, TaxonKit is distributed as pre-compiled command-line binary executables for Windows, Linux, and Mac OS X that operate directly on NCBI taxonomy data without building a local database.
- National Center for Biotechnology Information (NCBI) taxonomy data
- Methods & tools
- TaxonKit, NCBI taxonomy
- Software & environment
- Implemented in Go; standalone binary executables provided for Windows, Linux, and Mac OS X with no external dependencies.
Limitations (1)
- The abstract does not list the specific subcommands supported, the comparator tools tested, or quantitative runtime and memory benchmarks. · noted in this summary
Who should read:Read this if you need a fast, dependency-free command-line tool to query and process NCBI taxonomy data across Windows, Linux, or macOS.
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