Installing Graphite on OS X Lion

Instructions to set up

This example shows a step-by-step guide for setting up a Jekyll blog, from installing required gems to pushing the final build to a GitHub repository. It demonstrates a command-line workflow using `gem install`, `bundle install`, and `bundle exec jekyll build`, with plain-text instructions and code blocks. The visualization relies on a gist authored by Jverma, presenting the setup as a linear sequence of terminal commands and file actions. It does not use any charting or rendering libraries, focusing instead on a textual, procedural format.

JJverma

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mac set up

This example shows a curated collection of development tools and setup commands for macOS, organized as a simple textual list. The visualization is a static, human-readable reference guide rather than a data-driven graphic. It lists software like Rectangle for window snapping, AltTab for app switching, iTerm2 with tmux integration, Oh My Zsh for shell customization, and Typora for markdown editing, with direct URLs and command examples. The rendering approach is plain markdown, using bullet points and hyperlinks to present the information clearly. No specific data visualization libraries or APIs are used; instead, the content relies on structured text formatting to convey the setup workflow.

11wheel

TV News Workstations

This example shows the software stack a TV newsroom installs on a new Mac workstation, listing programming languages, development tools, and web browsers. The visual layout is generated from a gist by CliffordAnderson, using the Homebrew package manager commands in `brew-install-script.sh` as its data source. Concrete tools named include `brew cask install` for GUI apps, along with `git`, `node`, `r`, `atom`, and `neo4j`. The chart likely maps the script’s text into categorical groupings, though the visualization method itself is not specified in the provided code.

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.

Autoupdating graphite timeseries in d3

This example shows live-updating time-series graphs that automatically refresh their data at a regular interval. It renders each graph as an SVG with D3 scales and axes, drawing lines from Graphite’s JSON endpoint. The code uses `d3.json` for data fetching, `d3.svg.axis` and `d3.svg.line` for rendering, and a clip path to constrain the plotted area. A real-time mode triggers repeated requests using a dynamic URL that updates the time window based on the first payload’s interval.

CCaged

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.

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Things to install on a fresh installation of ElementaryOS

This visualization maps the step-by-step commands from a shell script, perfectelementary.bash, that automates the installation of software on a fresh ElementaryOS system. It shows the sequence of actions, from system updates to installing specific applications like Chrome, Skype, and Java, highlighting the dependencies between them. The rendering uses a custom layout to arrange the commands as nodes, likely with a force-directed graph or similar network visualization library. The underlying data is parsed directly from the Bash script's comments and command structure, revealing the logical flow of the setup process.

EEkthelion

48% match

Gist 4c5c3a03de2d3fea691e3fc9b4995d84

This example demonstrates a step-by-step guide for installing Omeka on an AWS Lightsail instance, showing the process from logging in to connecting to the instance’s IP address. The instructions use a launch script fetched from a GitHub gist, which likely employs shell commands to automate the setup. The code relies on the AWS Lightsail web console for instance creation and the `curl` or similar command-line tool to retrieve the configuration script, though the exact libraries are not explicitly named. The visualization is textual, focusing on procedural clarity rather than graphical data, with the data source being the gist’s raw text file.