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使用 Homebrew, MacPorts, Nix 安装 csvtk

查看 csvtk 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 csvtk

local Homebrew formula metadata

MacPorts已验证 · 94%
sudo port install csvtk

MacPorts ports tree · textproc/csvtk/Portfile · 来源: api.github.com

Linux

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

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

概览

软件包摘要

Cross-platform, efficient and practical CSV/TSV toolkit in Golang

命令和别名

  • csvtk

历史

项目历史与用法

csvtk is a cross-platform Go toolkit for CSV and TSV processing, originally framed for bioinformatics and data-science table workflows. It emphasizes many subcommands, compressed input support, field selection by names, pipeline integration, and prebuilt binaries.

项目历史

The public release series begins with v0.1 in April 2016. The project grew from a compact CSV/TSV utility into a broad suite with commands for inspection, conversion, set operations, editing, transforms, sorting, joins, plots, and shell autocompletion.

采用历史

The official README documents release binaries, Pixi, conda-forge, Homebrew, Go install, and Arch AUR installation. Its conda and bioinformatics-facing documentation are significant because CSV/TSV table wrangling is common in reproducible analysis pipelines where package-manager availability matters.

使用方式

csvtk is commonly used as a pipeline component for rapid table inspection and transformation: selecting or excluding fields by name, converting CSV to TSV, JSON, Markdown, reStructuredText, or XLSX, fixing malformed records, joining tables, summarizing columns, and plotting simple charts.

为什么软件包爱好者会关心

csvtk is package-nerd-interesting because it packages a large table-toolbox surface into a single Go binary with no runtime dependencies, while still being distributed through language, OS, and scientific package channels. It overlaps with csvkit and xsv but leans into compressed files, bioinformatics documentation, and many built-in subcommands.

时间线

  • 2016: v0.1 preview release.
  • 2024: v0.31.0 improved sort and join performance and added mutate3.
  • 2025: v0.34.0 added plot bar; v0.36.0 added shuf.
  • 2026: v0.37.0 added LZ4 read/write support; v0.38.0 refined filtering and cut behavior.

Related projects

  • The README explicitly compares csvtk with csvkit and positions CSV/TSV handling beside bioinformatics FASTA/Q tooling, reflecting the author's wider ecosystem of command-line bioinformatics utilities.

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

  • 未记录 Homebrew bottle 元数据。

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
csvtk可执行文件已索引可执行文件从本地可执行文件索引发现。

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2026-08-03
管理器版本0.37.0
管理器更新时间2026-07-25
本地数据未知
上游不可用
检测到的最新版本未检测到
  • OK没有生成新鲜度警告。

安装元数据

软件包元数据

软件包键brew:csvtk
版本0.37.0
软件包管理器Homebrew
主页https://bioinf.shenwei.me/csvtk
仓库https://github.com/shenwei356/csvtk
最后更新2026-07-25T14:20:52-04:00
Pulseupdated
Bottle未记录
服务未声明

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。

Nix95%

csvtk

nix profile install nixpkgs#csvtk
  • normalized package name match
  • 匹配方式:Csvtk
nixpkgs package indexes · api.github.com · nixpkgs package indexes: pkgs/by-name/cs/csvtk/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1
MacPorts95%

csvtk

sudo port install csvtk
  • normalized package name match
  • 匹配方式:Csvtk
MacPorts ports tree · api.github.com · MacPorts ports tree: textproc/csvtk/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1

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