Performance tuning parameters for IntelliJ IDEA. Add these params in idea64.exe.vmoptions or idea.exe.vmoptions file in IntelliJ IDEA. If you are using JDK 8.x, please knock off PermSize and MaxPermSize parameters from the tuning configuration.

Performance tuning parameters for Eclipse IDE. Add these params in eclipse.ini in Eclipse.

This example visualizes the performance-tuning parameters for Eclipse IDE as a static list, showing each flag and its value from a gist by P7h. It renders the `eclipse.ini` contents in plain text, highlighting JVM arguments like `-Xms1024m`, `-Xmx1024m`, and `-XX:+UseG1GC`. The display uses no interactive libraries or data manipulation; it simply presents the raw configuration lines, sourced from a text file, to make the tuning options readable at a glance.

78% match

Plugins I use in IntelliJ IDEA.

A force-directed network diagram maps the plugins the author uses in IntelliJ IDEA, with each plugin name as a node. The visualization shows the relationships between the seven plugins, clustering them by their functions as described in the accompanying text. Built with D3.js, it uses `d3.forceSimulation` and `d3.forceManyBody` to position nodes, while `d3.drag` enables interaction. Node labels display the plugin names, and the data originates from a plain-text gist file that lists each plugin with a short description.

49% match

Making Javascript faster

This example presents a markdown document that compiles performance guidelines for JavaScript, sourced from a gist by GerHobbelt and linked to jsPerf benchmarks. The text explains optimization techniques such as using IIFEs over nested functions, avoiding the `arguments` object, and preferring `that` instead of `bind`. It describes the content without a graphical interface, serving as a static textual reference for developers.

GGerHobbelt

46% match

Guava API toString() method generator for a JavaBean or POJO for IntelliJ IDEA.

This example shows an IntelliJ IDEA live template that generates a Guava-based `toString()` method for a JavaBean or POJO. It uses Apache Velocity syntax to iterate over the bean’s members and emits a call to `Objects.toStringHelper(this)`, chaining `.add()` for each field, and finally `.toString()`. The template auto-imports `com.google.common.base.Objects` from the Guava library, producing a readable string of all attributes without manual boilerplate.

46% match

Gist 2ef3312cddbca53339eb

This example shows an interactive scatterplot of Xcode build settings, mapping each configuration option to a point based on its relevance and usage. The visualization uses D3.js to construct the plot, with the force simulation engine (d3.forceSimulation) positioning points to reveal clustering patterns among related settings. Data is rendered via SVG paths, with each point color-coded to distinguish between file types and project configuration groups. The underlying data comes from parsing the .gitignore file and Xcode project metadata, though the plot does not track user interactions or display raw values.

CColinEberhardt

🍎 macOS-Optimized `.tmux.conf`

This tmux configuration provides a stable, macOS-optimized terminal multiplexer setup with a clean, color-coded status bar. It includes Vim-style keybindings for pane navigation and copy mode, mouse support, and true color enabling via `terminal-overrides`. The status bar displays macOS system load data, parsed from the `sysctl -n vm.loadavg` command with `awk`, alongside the current time and hostname. The config also prepares for optional TPM plugin integration through `set -g @plugin` and the `run` command.

IIoTeacher

Gist d6cbe45544b6e9628a66

This visualization is a text-based configuration file, not a graphical chart. It shows a tmux terminal multiplexer setup, written in the tmux.conf scripting language, detailing key bindings, pane navigation, and plugin management. The code configures tmux through commands like `bind-key`, `set-option`, and `set-window-option`, and integrates the tmux plugin manager (tpm) via `run-shell` to load plugins such as tmux-resurrect for session persistence. It also adjusts mouse support, history limits, and copy-mode behavior, reflecting a developer’s personalized environment rather than data-driven graphics. The rendering approach is purely textual, with no external visualization libraries involved.

66ewis

Plugins I use in Eclipse IDE.

This visualization displays a collection of Eclipse IDE plugins as a network of connected nodes, emphasizing relationships between tools and their associated URLs. The data originates from a text file listing plugin names and descriptions, parsed into a graph structure. Using D3.js’s force-directed layout via `d3.forceSimulation`, nodes are positioned dynamically, with edges linking plugins to their source links. Each node is rendered as a labeled circle, and the graph’s size and spacing adapt through iterative simulation, providing an interactive overview of the plugin ecosystem without revealing detailed metadata.