A gem to visualize connections in a Rails app that uses Packwerk

The eGTLabs Mu toolkit for unified cloud deployments. This gem contains the Mu deployment interface to cloud provider APIs. It will generate a sample configuration the first time it is invoked. Mu will attempt to autodetect when it's being run in a virtual machine on a known cloud provider and activate the appropriate API with machine-based credentials. Installing this gem on an Amazon Web Service instance, for example, should automatically enable the MU::Cloud::AWS layer and attempt to use the machine's IAM Profile to communicate with the AWS API.

Component-based Ruby/Rails applications use local 'path' gem references to structure an application. This gem provides utilities for printing and exporting such dependencies.

Generates interactive dependency visualisations (dot, d3.js) to study the architecture of C/C++ projects in detail

Simplify the management of a sandbox database that can sync content to a production database. Content changes can be bundled to allow partial syncs of the database.

DataMapper Visualizer is both a library and a command-line utility for visualizing the Models, Properties and Relationships defined in a DataMapper based Ruby project.

Adds support for creating enum state machines for attributes on any Ruby class

FP-Growth implementation

This gem patches AASM to be able to generate graphs using GraphViz.

Kameleon is a tool to build system appliances, possibly from scratch

a workflow orchestration framework running on delayed_job and active_record

CLI tool that outputs dependency information from a set of Xcode projects with targets thatdepend on each other, it does it by creating a (reverse) dependency graph and doing abreadth-first search.

Generate dependency graphs from pipeline definitions.

Puppet Validator is a simple web service that accepts arbitrary code submissions and validates it the way `puppet parser validate` would. It can optionally also run `puppet-lint` checks on the code and display both results together.

Simple language recognition tool for Ruby based on packrat parsing

Ruby AST Visualizer.

A library that takes a ruby description of a mind map and outputs a graphviz dot file

Tumugi is a library to build, run and manage complex workflows. Tumugi enables you to define workflows as a ruby code.

A ruby DSL for modeling business logic as Finite State Machines. The aim of this library is to make the expression of these concepts as clear as possible, utilizing the expressiveness of ruby language, and using similar terminology as found in state machine theory.

YPetri is a DSL (domain-specific language) for modelling of dynamical systems. It is biologically inspired, but concerns of biology and chemistry have been purposely separated away from it. YPetri caters solely to the two main concerns of modelling, model specification and simulation, and it excels in the first one. Dynamical systems are described under a Petri net paradigm. YPetri implements a universal Petri net abstraction that integrates discrete/continous, timed/timeless and stoichiometric/nonstoichiometric dichotomies of the extended Petri nets, and allows efficient specification of any kind of dynamical system. Like Petri nets themselves, YPetri was inspired by problems from the domain of chemistry (biochemical pathway modelling), but is not specific to it. Other gems, YChem and YCell are planned to cater to the concerns specific to chemistry and cell biochemistry. A lower-level extension of YPetri is currently under development under the name YNelson. Its usage is practically identical to YPetri, so any YPetri user can now consider using YNelson instead. YNelson covers additional concerns: it allows relations among nodes and parameters to be specified under a zz structure paradigm (developed by Ted Nelson) and it is also aimed towards providing a higher level of abstraction in Petri net specification by providing commands that create more than one Petri net node per command. YPetri documentation is avalable online, but due to formatting issues, you may prefer to generate the documentation on your own by running rdoc in the gem directory. As for the user manuals, there are currently 3 documents applicable for both YPetri and YNelson, whose master copies are stored in the YNelson source directory: 1. Introduction to YNelson and YPetri (hands-on tutorial), 2. Object model of YNelson and YPetri, 3. Introduction to Ruby for YNelson users. These manuals are written to allow beginners, including those unfamiliar with Ruby, to start working with YPetri and/or YNelson. For an example of how YPetri can be used to model complex dynamical systems, see the eukaryotic cell cycle model which I released as "cell_cycle" gem.