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brew / 排名 4654

使用 Homebrew 安装 clip

查看 clip 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 clip

local Homebrew formula metadata

概览

软件包摘要

Create high-quality charts from the command-line

命令和别名

  • clip

历史

项目历史与用法

clip is the command line illustration processor, a C++17 charting and data-driven illustration tool that turns text descriptions into SVG output. Its package-manager identity is a small but unusually well-starred command-line visualization tool rather than a clipboard utility, despite the formula name.

项目历史

The official README says the project began in 2011 under the name FnordMetric and originally included data storage and transformation facilities. Over time, the data-processing parts were removed, leaving the plotting and illustration engine, and the project was renamed to clip to avoid stale search results around the older name.

The current repository presents clip as both an open-source command-line program and software library for creating charts and other data-driven illustrations. The README points users to clip-lang.org for full documentation, examples, and installation notes.

采用历史

GitHub repository metadata recorded the project as created on 2011-09-16 and showed more than 5,000 stars and several hundred forks when checked for this enrichment run. Homebrew packages the stable 0.7 release from the upstream GitHub tag and reported hundreds of on-request installs over the preceding year.

使用方式

Users write a .clp-style text description of a plot or diagram and run commands such as `clip --export output.svg example.clp`. The README examples emphasize line charts, SVG output, C++17 source builds, and dependencies such as cairo, freetype, harfbuzz, fmtlib, and cmake.

为什么软件包爱好者会关心

clip is notable in package indexes because it is a compact Unix-style chart renderer with its own declarative language, sitting closer to gnuplot, Graphviz, and ggplot-inspired grammar systems than to generic clipboard tools. For Homebrew users, the package preserves a command-line visualization niche that is otherwise often handled by heavier language runtimes.

时间线

  • 2011: Project starts as FnordMetric according to the official README.
  • 2011-09-16: GitHub repository is created, according to GitHub repository metadata.
  • 2020: README copyright and repository metadata reflect the modern clip name and C++ charting focus.
  • 2026: Homebrew formula tracks stable release 0.7 from the official GitHub tag archive.

Related projects

  • The official README names The Grammar of Graphics and ggplot2 as conceptual influences for plot-element structure, and CSS as an influence on syntax and styling concepts.
  • The rendering stack relies on freetype and harfbuzz, placing clip in the same practical ecosystem as other precise SVG and text-rendering tools.

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
clip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0.7
管理器更新时间
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:clip
版本0.7
软件包管理器Homebrew
主页https://github.com/asmuth/clip
仓库https://github.com/asmuth/clip
Bottle未记录
服务未声明

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
  • pkg.so package database
  • pkgdb category and tag curation