Project

Reverse Dependencies for activesupport

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

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No commit activity in last 3 years
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Gem to autoscale Heroku worker dynos based on number of pending jobs
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Repository is gone
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Small, fast racktivesupport web framework with handy DSL and explicit parameter validation.
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This gem is a wrapper around services which provide address lookup by postcode.
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The compiler updates/creates models and associations, used in a Ruby on Rails project, defined by EAD automatically.
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Repository is archived
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No release in over 3 years
Eager Counting allows you to easily perform complex association grouped count queries.
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Repository is archived
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ruby gem for building complex structures that will end up in hashes (initially devised for ElasticSearch search requests)
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Repository is gone
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Create a first basic default website for new East Agile clients
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Provides a way to design and implement application aspects, through isolated modules
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Provides an `easy_breadcrumbs` view helper for automatically generating bootstrap breadcrumbs for your Sinatra Application.
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Provide callbacks support for Ruby classes
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EasyDownloader reduces the amount of work required to setup and check for errors when downloading from another location. This is useful when, for example, a client wants to you to pick a file up from their FTP, SFTP, or regular website on a nightly basis. ...
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EasyDSL allows you to create your own ruby dsl without writing a single line of code.
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Export ActiveModels to CSV by declaring headers and fields in your model with the `exportable` class method and block.
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This gem provides an abstraction layer to define Firebase Realtime Database models and basic services. Once the model was defined you can generate a client library to Android, Swift and Javascript.
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Repository is archived
No commit activity in last 3 years
No release in over 3 years
An ActiveModel::Model that does not raise exceptions when you pass a parameter for something undefined. Useful in cases where you use an ActiveModel::Model for client classes using an API. When you add a field to your endpoint, you don't want your app raising exceptions before you've started usi...
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The project is in a healthy, maintained state
High level plug-and-play interface for composing Machine Learning applications
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