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Install nanoq with Homebrew

Minimal but speedy quality control and summaries of nanopore reads. Version 0.10.0 via Homebrew; verified 2026-07-14.

install

Additional install commands

macOS

Homebrewverified · 100%
brew install nanoq

local Homebrew formula metadata

overview

Package summary

Minimal but speedy quality control and summaries of nanopore reads

Commands and aliases

  • nanoq

history

Project history and usage

Nanoq is a Rust command-line utility for rapid filtering, trimming, quality control, and summary reporting of Oxford Nanopore FASTA/FASTQ reads. It is designed to work with files or Unix streams and emphasizes low memory use and high throughput.

Project history

The public repository and first tagged releases appeared in March 2020. The project subsequently expanded its filters, reports, compression support, and machine-readable output, reaching the 0.8 series in 2021, 0.9.0 in 2022, and 0.10.0 in 2023. Steinig and Coin described Nanoq in the Journal of Open Source Software in 2022.

Adoption history

Nanoq is distributed through Cargo, Conda/Bioconda, precompiled Linux and macOS release archives, and a Homebrew formula. Its official benchmarks position it alongside established sequencing utilities including NanoFilt, NanoStat, Filtlong, seqtk, SeqKit, and rust-bio-tools.

How it is used

Users pass FASTA or FASTQ reads by file or standard input, apply length or quality filters and optional end trimming, and send surviving reads to a file or standard output. Statistics can be emitted as compact text, verbose summaries, or JSON; a fast mode skips quality-score calculation for greater throughput.

Why package nerds care

Nanoq is notable as a small, single-purpose Rust CLI that composes naturally in Unix pipelines while being packaged across the Rust, bioinformatics, binary-release, and Homebrew ecosystems. Its benchmarked trade-off between full quality calculations and an exceptionally fast quality-free mode makes it useful when choosing lightweight tools for large sequencing streams.

Timeline

  • 2020: First public tagged releases.
  • 2021: The 0.8 release series broadened the mature CLI.
  • 2022: Nanoq was published in the Journal of Open Source Software and version 0.9.0 was released.
  • 2023: Version 0.10.0 was released.

Related projects

  • NanoFilt and NanoStat provide nanopore filtering and statistics workflows used as official benchmark comparisons.
  • Filtlong, seqtk, SeqKit, and rust-bio-tools are neighboring read-processing tools compared in Nanoq's official benchmarks.
  • Needletail and niffler provide Nanoq's read-processing and compression foundations.

security posture

No protected-tool coverage found yet

No matching local secret-handling manifest was found for nanoq. Nucleus package metadata is still published here so future coverage has a stable package URL.

Install behavior

  • No Homebrew bottle metadata was recorded.

Recommended review

Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.

executables

Installed executables

CommandKindExposureNote
nanoqexecutableindexed executableDiscovered from the local executable index.

freshness

Version and freshness

These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.

page generated2026-08-03
manager version0.10.0
manager updated2026-07-14
local dataunknown
upstreamnot available
latest detectednot detected
  • okNo freshness warnings were generated.

install metadata

Package metadata

Package keybrew:nanoq
Version0.10.0
Package managerHomebrew
Homepagehttps://github.com/esteinig/nanoq
Repositoryhttps://github.com/esteinig/nanoq
Last updated2026-07-14T06:59:42Z
Pulseupdated
Bottlenot recorded
Servicenone declared

source trail

Generated from repository data

This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.

Used sources

  • cross-ecosystem install command graph
  • curated package history
  • pkg.so package database
  • pkgdb category and tag curation