Remove or replace a line from a file based on its content. Look for a line with certain content, and add another line before or after it.

Generates graphviz DOT files formatted using liquid

This gem takes as input a string of logs and converts them to an image graph of times and dependencies.

This gem converts diagrams exported from LucidChard in CSV format to AASM code in ruby. It can also convert to other formats such as in GraphViz.

The core module to process the map data. It provides the the interface to find the shortest route in terms of stoppage between two nodes.

Create class dependancy graph. This is only partially complete.

MotionBlender loads ruby gems for RubyMotion

NdcTree is a library outputs a list of NDC(Nippon Decimal Classification) as a tree-structured data.

Finite automaton determinizer

NOT WORKING CODE. Designed to make it easy to take a spreadsheet or other tabular data and use it to generate, manipulate, and style connected graphs. Can be used from the command line or as an object model. This gem does not itself perform any rendering, although it contains facilities to driv...

Schema design for NoSQL applications

Paradeiser is a command-line tool for the Pomodoro Technique. It keeps track of the current pomodoro and assists the user in managing active and past pomodori as well as breaks. Status commands and reports are provided to get insights.

PeekDB is a command line utility that builds a simple force-directed ER diagram for a database. The output can be .png or .dot formats.

A Petri net modeling gem

A Petri net modeling gem

See more at https://groups.google.com/forum/#!topic/api-craft/QlRF3lMusm0

"Find targets' dependencies with ease in xcode workspace and propose a way to reduce dependencies"

Workflow specifically for ActiveModel objects.

This gem implements the following random network generation models: Erdos-Renyi GNM and GNP, Watts-Strogatz, and preferential attachement. It also implements graph algorithms to study the randomly generated graphs.

Libary for working with neural networks in Ruby.