Tool for better visualizing and managing dependencies

Know-What-You-Know Tree

Extracting the contents of Microsoft Windows Registry (hive) and display it as a colorful tree but mainly focused on parsing BCD files to extract WIM files path for PXE attacks.

Mix and match HTML and Markdown syntax. Generate nested DOM trees from a single top level element. Extract content from custom elements.

WIP implementation of a Concat Tree / Rope / Cord for Ruby MRI.

A lightweight tool to create new ruby library trees, with helpers to make gemming and maintaining a breeze.

Generate all parts of a compiler, including the lexer, parser, syntax tree, symbol table, type checker, code generator, and optimizer.

directree is convenient DSL for creating directory tree and text files with content

Read and interpret Eagle Tree telemetry log files.

RCP Network stands for a neural network that uses decision tree for prediction, struct_rand for generating new data, and readlines and espeak for orating dangling modifiers at random for intentional unintentional humor. This model will be expanded to other reasoning models, like generating small ...

CatTree monitors ActiveRecord objects in development environment

a simple library for analyzing the dependencies between your factory_girl factories

FilePool helps to manage a large number of files in a Ruby project. It takes care of the storage of files in a balanced directory tree and generates unique identifiers for all files.

小樹屋掃描器 - 找出特定日期所有小樹屋的時間表

Transform flat list into (reverse) dependency tree

A tool that walks through a hash or nested object and applies code to containers and elements based on user defined rules.

A collection of containers: heap, sorted array, AVL tree

A Ruby-based text parsing and interpretation DSL

A Ruby-based text parsing and interpretation DSL

This is an implementation of the fp-growth frequent pattern mining algorithm as stated in the paper Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach Han et al, Data Mining and Knowledge Discovery, 8, 53-87, 2004