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brew

使用 Homebrew, apt, Nix 安装 kallisto

查看 kallisto 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install kallisto

local Homebrew formula metadata

Linux

Debian apt已验证 · 92%
sudo apt install kallisto

Debian stable package indexes · kallisto · 来源: deb.debian.org

Nix已验证 · 92%
nix profile install nixpkgs#kallisto

nixpkgs package indexes · pkgs/by-name/ka/kallisto/package.nix · 来源: api.github.com

概览

软件包摘要

Quantify abundances of transcripts from RNA-Seq data

命令和别名

  • kallisto

历史

项目历史与用法

kallisto is a bioinformatics command-line program for quantifying transcript abundances from RNA-seq and related high-throughput sequencing data. Its significance comes from pseudoalignment: a faster compatibility test between reads and targets that avoids full alignment while retaining the information needed for quantification.

项目历史

The public GitHub repository was created on 2014-11-13, and GitHub releases show v0.42 labeled as the first release on 2015-05-06. The 2016 Nature Biotechnology paper by Bray, Pimentel, Melsted, and Pachter introduced kallisto as a near-optimal probabilistic RNA-seq quantification program and described it as much faster than earlier approaches.

The README and manual place the tool in a reproducible scientific workflow: build an index from a transcriptome, run quantification on paired-end or single-end reads, optionally bootstrap estimates, and analyze bulk RNA-seq output with sleuth. The repository also points to scripts for reproducing the paper results, reinforcing its role as both software and a published method.

Later development extended kallisto's neighborhood beyond bulk RNA-seq. The README links kallisto with bustools and the kallisto-bustools ecosystem for preprocessing single-cell RNA-seq data, and releases in the 0.50.x and 0.51.x era reference long-read kallisto work before v0.52.0 restored genomebam and pseudobam functionality in 2026.

采用历史

kallisto became widely packaged because it occupies a high-value scientific niche: a single executable that made transcript quantification fast enough for routine laptop and cluster workflows. The batch metadata lists Homebrew, Debian, Ubuntu, and Nix packages, while upstream releases provide binaries and source for research environments that pin methods by version.

Its adoption is also tied to downstream method ecosystems. sleuth gave users a statistical analysis path for kallisto-quantified bulk RNA-seq, while bustools and kallisto-bustools made the pseudoalignment idea part of single-cell preprocessing workflows.

使用方式

A typical kallisto workflow builds a transcriptome index and then runs `kallisto quant` on sequencing reads to produce abundance estimates. The manual documents related commands such as `index`, `quant`, `bus`, `pseudo`, `merge`, and `h5dump`, making the package useful both for direct quantification and for integration into larger pipelines.

Because kallisto is method software as much as a utility, users often cite the paper, pin the executable version, and keep index-building inputs alongside analysis scripts.

为什么软件包爱好者会关心

kallisto is a classic example of research software crossing into general package managers: it is small enough to install like a normal CLI, but scientifically important enough that packaging, versioning, and binary reproducibility matter.

For package indexes, it also demonstrates the challenge of scientific CLI metadata: the package name is simple, but the real provenance includes a paper, a lab website, release binaries, and companion tools such as sleuth and bustools.

时间线

  • 2014: pachterlab/kallisto repository created.
  • 2015: v0.42 first release published on GitHub.
  • 2016: Near-optimal probabilistic RNA-seq quantification paper published in Nature Biotechnology.
  • 2024: v0.51.0 release named lr-kallisto.
  • 2026: v0.52.0 release restored genomebam and pseudobam features.

Related projects

  • sleuth is the companion analysis project for kallisto-quantified bulk RNA-seq output.
  • bustools and kallisto-bustools extend the kallisto ecosystem into single-cell RNA-seq preprocessing.
  • The kallisto paper analysis repository contains scripts for reproducing the published results.

安全态势

风险级别:绿色

narrow executable package without higher-risk signals.

风险分类器

绿色 风险 · 低 置信度 · appliance

原因

  • narrow executable package without higher-risk signals

信号

  • metadata:no-higher-risk-signals

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • Homebrew bottle 元数据适用于 6 个平台目标。
  • 安装时包含 1 个运行时依赖。
  • 构建元数据列出 1 个构建依赖。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
kallistocli全局可执行文件

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-07-08
管理器版本0.52.0
管理器更新时间
本地数据OK
上游当前
检测到的最新版本v0.52.0

https://github.com/pachterlab/kallisto

  • 信息No package-manager update timestamp was available.低 置信度

安装元数据

软件包元数据

软件包键brew:kallisto
版本0.52.0
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/kallisto
主页https://pachterlab.github.io/kallisto/
仓库https://github.com/pachterlab/kallisto
上游文档https://github.com/pachterlab/kallisto#readme
许可证BSD-2-Clause
源码归档https://github.com/pachterlab/kallisto/archive/refs/tags/v0.52.0.tar.gz
依赖hdf5
构建依赖cmake
Bottle可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux)
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Namekallisto
Version Scheme0
Revision0
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • stable

源数据库匹配

其他软件包管理器记录

匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。

Debian apt95%

kallisto 0.48.0+dfsg-4+b1

near-optimal RNA-Seq quantification

https://pachterlab.github.io/kallisto

sudo apt install kallisto
  • Section: science
  • Architecture: amd64
  • Source Package: kallisto
  • 5 依赖
  • normalized package name match
  • 匹配方式:Kallisto
Debian stable package indexes · deb.debian.org · Debian stable package indexes: kallisto from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz
Debian apt95%

kallisto-examples 0.48.0+dfsg-4

near-optimal RNA-Seq quantification (example data)

https://pachterlab.github.io/kallisto

sudo apt install kallisto-examples
  • Section: science
  • Architecture: all
  • Source Package: kallisto
  • 2 可选依赖
  • normalized package name match
  • 匹配方式:Kallisto
Debian stable package indexes · deb.debian.org · Debian stable package indexes: kallisto-examples from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz
Nix95%

kallisto

nix profile install nixpkgs#kallisto
  • normalized package name match
  • 匹配方式:Kallisto
nixpkgs package indexes · api.github.com · nixpkgs package indexes: pkgs/by-name/ka/kallisto/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1
Ubuntu apt95%

kallisto 0.48.0+dfsg-4build1

near-optimal RNA-Seq quantification

https://pachterlab.github.io/kallisto

sudo apt install kallisto
  • Section: universe/science
  • Architecture: amd64
  • 5 依赖
  • normalized package name match
  • 匹配方式:Kallisto
Ubuntu 24.04 LTS package indexes · archive.ubuntu.com · Ubuntu 24.04 LTS package indexes: kallisto from https://archive.ubuntu.com/ubuntu/dists/noble/universe/binary-amd64/Packages.gz
Ubuntu apt95%

kallisto-examples 0.48.0+dfsg-4build1

near-optimal RNA-Seq quantification (example data)

https://pachterlab.github.io/kallisto

sudo apt install kallisto-examples
  • Section: universe/science
  • Architecture: all
  • Source Package: kallisto
  • 2 可选依赖
  • normalized package name match
  • 匹配方式:Kallisto
Ubuntu 24.04 LTS package indexes · archive.ubuntu.com · Ubuntu 24.04 LTS package indexes: kallisto-examples from https://archive.ubuntu.com/ubuntu/dists/noble/universe/binary-amd64/Packages.gz

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated package history
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment