Project
Reverse Dependencies for activerecord
The projects listed here declare activerecord as a runtime or development dependency
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Typed store for active records json/hstore columns
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ActiveRecord models and database migrations for Unimod.
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ActiveUrl enables the storing of a model in an encrypted URL. It facilitates implementation
of secret URLs for user (e.g. feed URLs) that can be accessed without logging in, and URLs
for confirming the email address of a new user.
2019
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Generate obfuscated UXid's.
2019
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Allow to store ActiveModel validations in ORM.
2019
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Create Rails active record style validation in your non-Rails app
2019
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ActiveWarehouse extends Rails to provide functionality specific for building data warehouses.
2019
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Simple, efficient, and extensible webhooks for Ruby, including: Rate Limits, Cryptographic Signatures, Asynchronous Delivery, Buffered Delivery, Versioning.
2019
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Redis and database based activity stream in Rails 3 applications
2019
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Create an incremental activities feed applying a feedable role to Models
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An activity logger for rails 5 that provides view helpers to render basic format of activity.
2019
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This gem is rails3.2 compatible version of Dmitriy Timokhin's plugin acts_as_20ggable: https://github.com/pager/acts_as_20ggable
2019
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Provides aliases and lookup methods for ActiveRecord models.
2019
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There has never been a better time to move database records to an archive table.
2019
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ActsAsAsync is an ActiveRecord extension that provides your models with easy-to-use Resque helpers.
2019
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ActiveRecord extension that logs all changes to your models in an audits table additionally allowing you to specify which human model to use (if not 'User')
2019
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ActiveRecord extension that logs all changes to your models in an audits table description
2019
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acts_as_belongable is a Rubygem that provides an associations engine for Rails apps. It's primary use case is to simplify `has_many through: ...` relations.
2019
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Automatically set created_by and updated_by fields
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A ruby gem for active record which simplify the copy of very complex tree data.
2019
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