Project

Reverse Dependencies for rubocop-rspec

The projects listed here declare rubocop-rspec as a runtime or development dependency

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Repository is gone
No release in over 3 years
A Ruby gem to manipulate Bitcoin money without loss of precision.
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Low commit activity in last 3 years
No release in over a year
SCC style guides and shared style configs.
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No release in over a year
This gem provides functionality for parsing a Rails schema.rb file and generating a corresponding DBML file.
2020
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Repository is archived
No commit activity in last 3 years
No release in over 3 years
A tool for generating CHANGELOGs and managing app versioning.
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No commit activity in last 3 years
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RFC7644 SCIM (System for Cross-domain Identity Management) 2.0 filter parser. See https://tools.ietf.org/html/rfc7644#section-3.4.2.2 This gem implements a filter syntax parser as well as an optional integration for integrating the filter with an Arel table.
2020
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No commit activity in last 3 years
No release in over 3 years
Provides a simple mapping between Active Record scopes and controller parameters for Ruby On Rails 4
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A long-lived project that still receives updates
Ruby gem providing ScoutAPM API client and MCP server tools for fetching traces, endpoints, metrics, errors, and insights. Integrates with Cursor IDE via Model Context Protocol.
2020
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No release in over a year
Ruby translators to transform various metadata feeds into solr documents and a command-line utility to access/utilize the gem's translators to harvest metadata into a working solr instance.
2020
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Repository is archived
No commit activity in last 3 years
No release in over 3 years
Season automatically creates scopes for your models' datetime columns.
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No release in over 3 years
Ruby gem simplifying integration with SecurionPay API
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No commit activity in last 3 years
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This gems aims to simplify the organization of support files when using the Selenium Webdriver gem directly
2020
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No release in over a year
An AI-powered pair programmer. Provides a user-friendly interface for using AI API's to automatically repair broken code and suggest improvements. Simply provide the faulty code as input, and the gem will generate a corrected version using advanced machine learning techniques.
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