GP webpay, payments, SOAP, payment gateway

A thin Ruby wrapper around Helm

Opencast Matterhorn REST API ruby library : REQUIRES Matterhorn 1.2+

Tool for faster creation of GitHub's Pull Requests

ruby_hubspot_api is an ORM-like wrapper for v3 of the Hubspot API

Ruby client to access available SOAP services of ISDS (CZ datovka)

Provides parsing, validation & accessors

Fast, enhanced, and compliant Ruby implementation of the JSON:API specification, evolving from jsonapi-serializer/jsonapi-serializer (originally Netflix/fast_jsonapi) with enhanced features beyond serialization.

A Ruby-based client library to interact with the Keystone service.

Wraps the leiningen CLI so that leiningen can be invoked from a Ruby script or Rakefile.

A RubyLLM plugin that enables local LLM execution using the Red Candle gem. Run quantized GGUF models directly in Ruby without external API calls. Supports streaming, structured output, and multiple model architectures including Gemma, Llama, Qwen, Mistral, and Phi.

A playing card library in functiona ruby

Ruby bindings for lzws library (compatible with UNIX compress).

An implementation of the MARCspec query language for Ruby and ruby-marc

Miscellaneous and humble tool-set of useful Ruby.

A Ruby wrapper for the Montage REST API

Multiton provides a transparent, thread safe and highly compatible implementation of the multiton (and singleton) patterns in pure Ruby.

The ruby based nas system

RubyNEAT -- Neural Evolution of Augmenting Topologies for Ruby. By way of an enhanced form of Genetic Algorithms -- the NEAT algorithm, populations of neural nets are evolved to handle pre-defined goals. RubyNEAT is the first implementation of the NEAT algorithm for Ruby, and it leverages Ruby's power to implement the NEAT algorithm in a way that would be difficult to do in other languages. The 'activation function' is largely standalone. Basically, activation is achieved by functional programming. Meaning, once your network is evolved, you can extract it as source code you can then utilize without the RubyNEAT engine. RubyNEAT can be used for nearly any Machine Learning task you can dream of, because it's also extensible and modular. See http://rubyneat.com for the details.

A web-based Dashboard for your RubyNEAT development, http://localhost:3912