Project

Reverse Dependencies for awesome_print

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

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No commit activity in last 3 years
No release in over 3 years
It's a pain to setup new developers. Stairs is a utility and framework from which to write scripts for faster and easier setup of apps in new development environments. Scripts try to automate as much as possible and provide interactive prompts for everything else.
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Stamps is Stamps.com backed library for creating postage labels, calculate the shipping cost of packages, standardize domestic addresses via USPS CASS certified Address Matching Software, and track shipments.
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Repository is gone
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RSpec matchers for state_machines. Forked from modocache/state_machine_rspec to work with state-machines/state_machines (https://github.com/state-machines/state_machines)
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Crawl a site with 'clean-URLs' and generate a files and folders from it. Example: the URL /page will become /page/index.html instead of /page.html so you can serve it straight from Apache and all the links are still working.
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Low commit activity in last 3 years
Statistics3 is a module that provides normal, Chi-square, t- and F- probability distributions for Ruby. It is a fork/continuation of Shin-ichiro Hara's original code. It provides a native, compiled extension and a pure Ruby implementation.
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A suite for basic and advanced statistics on Ruby
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Rails compatible gem that provides full DB connection and models to SteemSQL.com
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Wrapper for accessing steemdata.com in a ruby application.
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Client for accessing the Steem blockchain.
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Yet another yandex translate api client
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STIpend is a quick way to allow assignment and modification of Single Table Inheritance in Rails.
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stormforge-ruby is ruby the client library for the StormForger load test service
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Low commit activity in last 3 years
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StoryKey converts a private key to a memorable story and vice versa.
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Build queries for Elasticsearch with a chainable interface like ActiveRecord's.
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Flattens hash-array structures by removing redundant information.
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forked from https://github.com/alexandru/stuff-classifier, 2 methods are provided for now - (1) naive bayes implementation + (2) tf-idf weights
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Ruby wrapper to manipulate preferences for Sublime Text
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