Generate component from collections of data points

Ruby Decorator based framework (aka decorator/presenter objects)

ActiveSupport::MessageEncryptor encryption wrapper for PORO objects and ActiveModel attributes

Build ActiveModel::Errors like errors in Ruby

Ruby Form based framework (aka form objects)

Convert measurements to different unit sizes or types

Cache and memoization helpers for ruby Ruby classes

Ruby Query based framework (aka query objects)

Access Redis with an ActiveRecord like ORM interface

Collection of mixins to regulate the state of a database record

Collection of mixins to control the state of a database record

Import and export Ruby and Rails objects to flat files and vice versa

Collection of useful Ruby methods for its primitive classes

Ruby Service Object (aka Commands) framework

Generate statistics from collections of data points

Generate or obfuscate Id's using different patterns

Collection of ActiveModel/ActiveRecord validators

LLM Chain is a powerful Ruby framework that provides tools for building sophisticated LLM-powered applications. It includes support for prompt management, conversation chains, memory systems, vector storage integration, and seamless LLM provider connections. Key features: • Chain-based convers...

LLM Conductor provides a clean, unified interface for working with multiple Language Model providers including OpenAI GPT, OpenRouter, and Ollama. Features include prompt templating, token counting, and extensible client architecture.

A tool that uses LLM to automatically fix errors detected by static analysis tools (such as RuboCop).