Project

Reverse Dependencies for mongo

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

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MongoHydrator takes a document, represented as a Ruby Hash, and efficiently updates it so that embedded references to MongoDB documents are replaced with their corresponding subdocuments.
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Repository is archived
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MongoDB backend implementation for I18n gem.
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Simple Mongoid Model to_csv() class method that preserves scopes
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Easy backups for EBS-based MongoDB Databases
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A mixin DSL for implementing cross-process mutexes/locks using MongoDB.
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Mongomatic is a modular Ruby object mapper for Mongo
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Light-weight sequences for MongoDB, useful for auto-incrementing or counting. Works with any ODM.
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Resque-mongo is a MongoDB-backed Ruby library for creating background jobs, placing those jobs on multiple queues, and processing them later. \ Background jobs can be any Ruby class or module that responds to perform. Your existing classes can easily be converted to background ...
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This software implements a Rails 3 Middleware and an EventMachine reactor to store into a database the results of HTTP request processing
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Take a peek into the Mongo commands made within your Rails application.
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A long-lived project that still receives updates
PopulateMe is an admin system for managing structured content of web applications. It is built on top of the Sinatra framework, but can be used along any framework using Rack.
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A rack end point for storing json documents.
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rdf-mongo is a storage adapter for integrating MongoDB and rdf.rb, a Ruby library for working with Resource Description Framework (RDF) data.
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Light weight job scheduling on top of Resque Mongo. Adds methods enqueue_at/enqueue_in to schedule jobs in the future. Also supports queueing jobs on a fixed, cron-like schedule.
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MongoDB clients to submits metrics to Riemann.
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A long-lived project that still receives updates
Wgit was primarily designed to crawl static HTML websites to index and search their content - providing the basis of any search engine; but Wgit is suitable for many application domains including: URL parsing, data mining and statistical analysis.
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