Backup your application server

This is a simple gem to consolidate common development dependencies.

A javascript-based language that compiles to javascript.

Liszt is an alternative to acts_as_list and sortable that uses atomic Redis operations to maintain scoped ordering information for ActiveRecord objects.

Lita handler for managing your GitHub account/organization; handler not ready for production

Gitter adapter for the Lita chat bot.

Lita handler for TOTP & HOTP token generation; uses Ruby One-Time Password (ROTP) library

VKontakte adapter for the Lita chat bot.

A gem providing a quick, clean, and concise means of implementing the Page Object Model pattern and defining a semantic DSL for automated acceptance tests using watir-webdriver.

Litmus Mailer adds an ActionMailer observer to update your Litmus tests each time an email is delivered from development.

Some of the bits around the edge of Habitat, that I wish were available natively.

AvaTax REST API wrapper plus backup tax calculation

Interface library for Livefyre's comment API with Rails helpers

Library utilizing IDCRL for Microsoft Windows Live ID authentication.

Remote-callable attributes and methods for IPC and cluster use.

A Ruby on Rails implementation of the LlamaHair API client with webhook validation support

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...

Ruby library for interacting with various LLM providers including Anthropic, Google Gemini, xAI, and other OpenAI-compatible API providers (including local models). Supports streaming, event-handling, conversation management, tool-use, image input, and cost-tracking.

llm-shell is an extensible, developer-oriented command-line console that can interact with multiple Large Language Models (LLMs).

llm-spell is a command-line utility that can correct spelling mistakes with the help of a Large Language Model (LLM). Compared to traditional spell checkers like `aspell` and `hunspell`, llm-spell often produces fewer false positives and more accurate suggestions.