Project
Reverse Dependencies for base64
The projects listed here declare base64 as a runtime or development dependency
0.3
Docker v2 registry HTTP API client with support for token authentication
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0.3
A Ruby implementation of the Duo API.
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0.3
A flexible and powerful implementation of the MCP with multiple approaches for defining tools.
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0.29
parser for OpenAPI 3.0 or later
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0.29
Tools that can be used to access Forge API information on Modules, Users, and Releases. As well as download, unpack, and install Releases to a directory.
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0.28
The EmailAddress Gem to work with and validate email addresses.
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0.27
A set of handy tools to upgrade your Rails application and keep it up to date
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0.27
OpenClacky is a 100% open-source (MIT) AI Agent that matches Claude Code on capability at comparable cost. Built on two years of agentic R&D, it ships with a minimal 16-tool core, near-100% prompt cache hit rate, idle-time auto-compression, and BYOK support for any OpenAI-compatible model. A natu...
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0.27
Pronto runner for Rubocop, ruby code analyzer
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0.26
Apnotic is an Apple Push Notification gem able to provide instant feedback.
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0.26
Generate deterministic, tiling SVG patterns from a string.
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0.25
dotiw is a gem for Rails that overrides the
default distance_of_time_in_words and provides
a more accurate output. Do you crave accuracy
down to the second? So do I. That's why I made
this gem. - Ryan
2021
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0.25
Jekyll plugin to build a site with any public GitHub-hosted theme, set via the remote_theme config key. Supported on GitHub Pages.
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0.25
SDK of the LINE Messaging API for Ruby
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0.24
Kitchen::Driver::Vagrant - A HashiCorp Vagrant Driver for Test Kitchen.
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0.23
RDF.rb is a pure-Ruby library for working with Resource Description Framework (RDF) data.
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0.22
A Ruby implementation of the Discord (https://discord.com) API.
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0.21
Super simple and fast PDF invoicing in pure Ruby (based on Prawn library).
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0.21
NATS is an open-source, high-performance, lightweight cloud messaging system.
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0.21
Socialization allows any model to Follow and/or Like any other model. This is accomplished through a double polymorphic relationship on the Follow and Like models. But you don't need to know that since all the complexity is hidden from you.
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