Project
Reverse Dependencies for rubocop-performance
The projects listed here declare rubocop-performance as a runtime or development dependency
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Simple DSL that supports creating complex strutures of objects
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Faraday adapter for Auth0
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HttpLoader is a powerful, high-concurrency performance and load testing console tool. Built on asynchronous Ruby, it evaluates server limits by opening massive numbers of persistent connections and holding them open. It utilizes event-driven I/O with optional periodic ping requests to keep connec...
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A HTTP/REST Client to help you wrap APIs easily.
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Style and lint rules/formatting for Hyperlaunch projects.
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A Ruby gem that enhances I18n functionality with advanced interpolation and piping features
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Asserts blocks, prints introspective failure messages.
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Ruby client for iban.com APIs
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A CLI (as in Command Line Interface) to delete your tweets based on faves, RTs, and time.
There are some services out there with a friendly web interface, but this is not one of them. You must know the basics of working with a UNIX terminal and configuring a Twitter API app, as this will only wo...
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Library of Congress MODS / MADS parser
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meta-package of useful gems for rails development
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A gem for scientific data.
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This gem provides HTTP client to connect your app with Immobilienscout API
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Importu simplifies the process of defining and sharing contracts that structured data must conform to in order to be importable into your application.
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Imyou has feature of attaching popular name to ActiveRecord model.
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Build and coordinate AI agents that work together to accomplish complex tasks.
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A simple Ruby gem for Index statistic information checking
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indoctrinatr-tools provides a set of command line tools for Indoctrinatr (an Open Source Software project by dkd Internet Service GmbH, Frankfurt am Main, Germany).
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This gem is a Ruby wrapper for InferKit, an AI-based text generator.
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This gem tries to detect the data type from given data like a csv file. You can then use this information to generate a rails migration to have a fitting model for the data.
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