Project

Reverse Dependencies for sqlite3-ruby

The projects listed here declare sqlite3-ruby as a runtime or development dependency

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Easy upload management for ActiveRecord - forked and gemified for sayso
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Simple implementation of counter_cache functionality for model scopes
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Provides a simple mapping between Active Record scopes and controller parameters for Ruby On Rails 4
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Routing-level ssl support for ruby application actions
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A collection of useful Rails generator scripts for HTMl 5 boilerplate, useful partials, authentication, helpers with HAML support - fork from Ryan Bates Nifty-generators.
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Define questions and answers in a YAML file and validate your models with a single line of code. No more captchas or other stupid tricks.
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Sequel plugin which provides Slug functionality for model.
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Generate simple counter caches, just specify where to store them and where to get them
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Flags records as deleted instead of removing them
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Fast webserver log parser for persisting daily pageviews per path to sqlite
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A simple database-backed, JSON-based message queue and worker base
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An easy way to send and receive SMS message.
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Social Stream Linkser provides Linkser support in Social Stream, the core for building social network websites.
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This gem allow you to connect several social stream nodes using PSHB hubs, also allows to follow, and share streams with social stream users in any node.
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SoftAttributes provides a consistent way to define "soft" attributes on ActiveSupport. Typically calculated (non-persisted) attributes would be termed soft attributes. These will be included in the xml/json payload for serialization, but will need to be discarded if they appear in the incoming request.
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A Rails table builder made to easily create table or sort a table. The syntax is simple to write and easy to read.
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# Sparrow is a really fast lightweight queue written in Ruby that speaks memcached. # That means you can use Sparrow with any memcached client library (Ruby or otherwise). # # Basic tests shows that Sparrow processes messages at a rate of 850-900 per second. # The load Sparrow can cope with increases exponentially as you add to the cluster. # Sparrow also takes advantage of eventmachine, which uses a non-blocking io, offering great performance. # # Sparrow is a in-memory queue but will persist the data to disk when receiving a term signal. # # Sparrow comes with built in support for daemonization and clustering. # Also included are example libraries and clients. For example: # # require 'memcache' # m = MemCache.new('127.0.0.1:11212') # m['queue_name'] = '1' # Publish to queue # m['queue_name'] #=> 1 Pull next msg from queue # m['queue_name'] #=> nil # m.delete('queue_name) # Delete queue # # # or using the included client: # # class MyQueue < MQ3::Queue # def on_message # logger.info "Received msg with args: #{args.inspect}" # end # end # # MyQueue.servers = [ # MQ3::Protocols::Memcache.new({:host => '127.0.0.1', :port => 11212, :weight => 1}) # ] # MyQueue.publish('test msg') # MyQueue.run # # Messages are deleted as soon as they're read and the order you add messages to the queue probably won't # be the same order when they're removed. # # Additional memcached commands that are supported are: # flush_all # Deletes all queues # version # quit # The memcached commands 'add', and 'replace' just call 'set'. # # Call sparrow with --help for usage options # # The daemonization won't work on Windows. # # Check out the code: # svn checkout http://sparrow.googlecode.com/svn/trunk/ sparrow # # Sparrow was inspired by Twitter's Starling
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