Project

Reverse Dependencies for rspec

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

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Tick benchmark your method and print it in color
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No commit activity in last 3 years
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Play the tic-tac-toe game in the Terminal. Supports fields of any size, and can be played with up to 5 players.
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Low commit activity in last 3 years
A long-lived project that still receives updates
Creates views which allow anonymization of database tables.
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No commit activity in last 3 years
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There's a lot of open issues
Ruby bindings for Apache Tika Server REST API
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No commit activity in last 3 years
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A Tilt interface for the official JavaScript implementation of the Handlebars template engine. Handlebars::Engine provides the API wrapper. MiniRacer provides the JavaScript execution environment.
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Repository is archived
No commit activity in last 3 years
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Humanize elapsed time from some Time instance to Time.now, e.g. '2 hours and 1 minute ago'
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A timed counter based on redis hashes
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Repository is archived
No commit activity in last 3 years
No release in over 3 years
There's a lot of open issues
TimeFrame
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Simple timer to perform a block and display the elapsed time.
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No release in over 3 years
Makes it easy to store time duration, make calculations and comparions and store the duration using Mongoid
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 Popularity
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Repository is archived
No commit activity in last 3 years
No release in over 3 years
Answers the age-old question 'When is mothersday this year?'
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No commit activity in last 3 years
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A Ruby library for interacting with a Learning Record Store (LRS) using the Tin Can API (Experience API)
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No commit activity in last 3 years
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Ting can convert between various phonetic representations of Mandarin Chinese. It can also handle various representation of tones, so it can be used to convert pinyin with numbers to pinyin with tones.
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No commit activity in last 3 years
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Rails integration for CloudSearch
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No commit activity in last 3 years
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Ruby port of TinySegmenter.js for tokenizing Japanese text. Uses a Naive Bayes model that has been trained using the RWCP corpus and optimized using L1-norm regularization. The resultant model is quite compact, yet has a 95% accuracy rate.
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