Project
Reverse Dependencies for webrick
The projects listed here declare webrick as a runtime or development dependency
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A Jekyll version of the \"Twenty\" theme by HTML5 UP, full featured.
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A nice place to display your web novel
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Would you rather ride on a train or a jetski? that is the question you might use when comparing using our framework or the popular Ruby on Rails framework.
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A gem that is based on the structure of Open Data Scotland, which in turn, is based on JKAN.
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Jekyll Metadata file Viewer (JMV) is a simple tool to enable viewing contents of the '.jekyll-metadata' file generated by Jekyll.
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A comprehensive Ruby client library for JPS platform APIs with 69+ API modules, modular loading, OAuth authentication, and optimized performance
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a library for executing JavaScript code on node.js or a web browser
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The theme of the website of the juice programming language
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Use this interface with your Kanal to create bot for Pachka messenger
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This is the official Ruby SDK for [Project Kessel](https://github.com/project-kessel), a system for unifying APIs and experiences with fine-grained authorization, common inventory, and CloudEvents.
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Agent with REST Api to send information about docker containers
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A simple web crawler for ruby
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ActiveRecord adapter for kudzu crawler
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Ledmon is a Ruby gem that provides tools for managing and deploying monsters in the Ledmon ecosystem. It includes features for session management, deployment, and interaction with Ledmon's monster server.
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The easiest way to share securely your secrets
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Ruby client for the LibLynx API
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Provides RSpec matchers for executing and evaluating Lighthouse audit scores
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An implementation of the circuit breaker pattern using ActiveRecord
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llm-shell is an extensible, developer-oriented command-line console that can interact with multiple Large Language Models (LLMs).
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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.
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