Project

Reverse Dependencies for shoulda

The projects listed here declare shoulda as a runtime or development dependency

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The Synapse Ldap User library
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SynapsePay allows you to integrate bank payments into your applications
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This rake task will update (delete and copy) all the files under the public directory to S3, by default is the public directory but you can pass as argument the path to the folder inside the public directory.
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This rake task will update (delete and copy) all the files under the public directory to S3, by default is the public directory but you can pass as argument the path to the folder inside the public directory
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SyncClient is an interface for synchronizing attributes between services. It provides both a means of publishing changes and subscribing to them
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helping manage project web shell sourceforge repostory
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Web page synopsis from meta tags with fallback to bing screen scrape.
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Synqa syncs files from a local directory to a remote directory using an SSH connection. It is designed for uploading a static website. It determines if existing files need to be updated by calculating cryptographic hashes on the remote server.
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Super-Duper library to send syslog messages over UDP to logging server such as Graylog2. Supports Structured Data elements as defined by RFC 5424.
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Read and write Google Spreadsheets like records
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A Rack-inspired interface for testing libraries
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Useful methods are added to TaLib, TaLib::Function, and TaLib::TAFunc.
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Detaches _what_ is logged from _how_ it is logged
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A tiny little HTML/XML parser...using regex
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Adds tagging with context and aggregation of tags for MongoMapper. Adds weight and distribution convenience methods to models in which it is included. Uses MongoDB's increment/decrement ($inc/$dec) to keep real-time counts of individual tags in context with optional type. Based on 'Mongoid Taggable With Context' (https://github.com/aq1018/mongoid_taggable_with_context).
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The English language is extremely complicated. We have words that can have multiple parts of speech. Natural language processing is difficult because it is hard to tell if a word is a noun when it could be a verb or an adjective, etc. The purpose of this project is to develop an algorithm that, given a sentence string, has a ranking system that detects the part of speech of each word. Why is the useful? Because understanding the correct parts of speech in a sentence is the first step to teaching a robot how to read.
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The project is in a healthy, maintained state
TeamArtist API support gem
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A friendly Ruby interface to the Etsy API
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pre-commit hook, that checks ruby-style
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Clean ruby syntax for writing and deploying cron jobs.
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