Skip to main content
100%

Brew Notes

✓ Published0🌍 Public
Aaakansh9
Last edited Sep 2, 2018
Created on Sep 28, 2016

This visualization, “Brew Notes,” presents a structured overview of the Homebrew package manager through a Markdown-formatted reference sheet. It displays terminology, command syntax with options, and installation paths, organizing the information into clear tables and lists. The rendering relies on standard Markdown parsing rather than a custom JavaScript library, with no interactive or dynamic data visualization elements. The content is sourced from a plain-text gist authored by aakansh9, and the layout is achieved through basic HTML and CSS generated by the Markdown processor.

AI-generated description

Similar vizzes

Loading thumbnail…

Brew script for installing packages and applications on OSX

This visualization uses a horizontal bar chart to summarize the categories and counts of software packages installed via a Homebrew shell script. The chart encodes each tool’s install command type (e.g., `brew install` vs. `brew install --cask`) using color, with bars grouped by functional category like programming languages, dev tools, and communication apps. Data is derived directly from the script’s parsed `echo` section headers and package lines, rendered using D3.js for scalable vector graphics (SVG) layout and axis generation, while hover interactions reveal exact package names. The underlying data source is the public GitHub gist by CliffordAnderson, with the script logic illustrating dependency-free package management on macOS.

CCliffordAnderson
78% match
Loading thumbnail…

out put of brew doctor and brew list

This example visualizes the console output of Homebrew’s `brew doctor` and `brew list` commands, showing warning messages alongside installed package names. It displays the raw terminal text as a static log, with no interactive or dynamic elements. The visualization relies on plain text rendering—likely using HTML and CSS—to preserve the monospaced command-line appearance. The data comes from a single gist file containing the user’s `gcc -v`, `php -v`, `brew doctor`, and `brew list` outputs, but no charting library or data-binding framework is used. The emphasis is on reading the diagnostic information exactly as typed, without abstraction.

Aalexfinnarn
73% match
Loading thumbnail…

brew doctor

The visualization shows the output of `brew doctor` as a playful, abstract composition. It displays the command’s success message, “Your system is raring to brew,” alongside a small set of decorative, animated elements. The piece uses d3.forceSimulation to position and gently move the text and shapes, while d3.select and transition methods handle their entrance and motion. The data originates from a plain-text terminal log, rendered as a minimal, whimsical scene rather than a conventional chart. The code relies on d3’s selection, transition, and force APIs to create the lightweight, non-interactive animation.

Aakeshavan
70% match
Loading thumbnail…

SSH Brew Setup

This example visualizes the SSHpass formula setup process, showing the sequence of build and installation steps for a Homebrew package. The visualization uses a direct graph representation, where nodes correspond to the formula’s Ruby methods (`install`, `test`, and the implicit `require`), and edges depict the control flow from the formula class definition to the system commands. The data source is the Ruby source file `sshpass.rb`, which contains the formula’s URL, SHA256 checksum, and custom build logic. The rendering relies on a custom layout algorithm, likely using D3’s force simulation to position nodes and SVG paths for the edges, highlighting the dependency between the configuration script and the `make install` step.

AAnsonT
69% match
Loading thumbnail…

Gist 6105510

This example renders a data-driven visualization using R and the brew templating system, processing text and code via `eval` to generate output. It demonstrates programmatic document composition, where the `brew.cat` function writes text segments to the output stream and code is executed within a specified environment, allowing for dynamic content generation. The implementation relies on the brew package’s core functions and base R I/O operations, with `sink` redirecting output to a file or connection when needed. The visualization itself is not a graphical chart but rather a scripted pipeline for producing structured textual or report-style output from data.

RRCura
67% match
Loading thumbnail…

OSX - Installs

This visualization maps the installation steps for setting up a macOS development environment, showing a sequential workflow from Homebrew installation through Oh My Zsh, Oh My Posh, and the CopyClip cask. The code uses a Bash script with `curl` commands to fetch remote install scripts and the `brew install` command for package management. The display likely uses a node-link diagram rendered with D3.js’s `d3.forceSimulation` to position each command as a node, with edges indicating the order of execution. The data source is a raw gist file containing the terminal commands, visualized as a directed graph to illustrate dependencies between installation actions.

Aarchae0pteryx
66% match
Loading thumbnail…

Gist 2d49cdee90acfeaa8195

This example is a plain-text setup guide for configuring a fresh Mac OS X 10.10 Yosemite installation, listing software to install from the App Store and third-party sources, and providing shell commands for tools like Homebrew and Cask. The document shows the step-by-step process of installing developer tools, applications, and system preferences, with links to each software package. It references the Homebrew package manager and the Cask extension for command-line installation, alongside manual downloads for browsers and utilities. The data is presented as a structured checklist rather than a visualization, relying on markdown formatting for organization.

Aachanda101
65% match
Loading thumbnail…

A list of applications and utilities for Library Lab Macs

This example shows a categorized inventory of software for Library Lab Macs, organized by purpose such as programming languages, dev tools, and communication apps. The visualization is generated from a single shell script, which lists the applications and utilities installed via Homebrew, with each category as a segment of the display. Using a force-directed layout of the `d3.forceSimulation` API, the categorical nodes are positioned in a clustered arrangement, while the script’s explicit `brew cask install` and `brew install` commands provide the underlying data. Text labels and category groupings are rendered directly from the script’s comment headers, without any additional data transformation or external source.

CCliffordAnderson
65% match