Project
Reverse Dependencies for rspec-mocks
The projects listed here declare rspec-mocks as a runtime or development dependency
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PayXML is an easy use wrapper for the the PayGate PayXML payment gateway API.
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pg_shrink makes it simple to shrink and sanitize a PosrgreSQL database
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This module allows linking to a Podio CRM
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A* pathfinding in Ruby, using C datastructures to speed things up.
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taste and validate the chef cooked infrastructure
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A library of rake tasks for repetitive updates to product metadata.
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Commandline tools for proteomics
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Manage HTTP(S) and SOCKS proxies for Rails apps. Supports ActiveRecord and Mongoid as ORM.
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A command line utility which connects to a Panasonic PABX via *telnet* and retrieve calling information. Filters valuable content while keeping the original fixed-space format.
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A Rails engine that exposes Puma server metrics, queue time statistics, and request rate information via a /matrix endpoint
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Create a puppet enviroment for each pull request
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puppetdb_rundeck is a sinatra based application to provide integration between PuppetDB and Rundeck.
It provides an api in either xml, json or yaml that allows the node and fact data with puppetdb to use used as a resource
with rundeck
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Repeated Query Runner - for monitoring, operation and CI.
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This is a gem to help you to structure common reports of you application just by writing in the controller
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Database console for Ruby applications running on Rack with ActiveRecord and following the Rails "config/database.yml" database configuration pattern
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A Rack middleware that provides an endpoint to start the New Relic agent.
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Rails engine providing ActiveRecord integration, background jobs, and UI components for Ragdoll's unified text-based RAG system. Converts all media types to searchable text for powerful cross-modal search capabilities.
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Provides rspec-mocks syntax from an external source like cypress
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Rails UseCase and Service classes
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RainbowLLM provides intelligent routing and failover capabilities for multiple LLM providers. Automatically tries providers in sequence until one responds successfully, ensuring reliable access to LLM services.
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