Project
Reverse Dependencies for faker
The projects listed here declare faker as a runtime or development dependency
0.0
Generates Xml examples of different Brazilian tax documents.
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Let your data define your fixtures for you
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Multi purpose mock, dummy objects, dummy responses generator library
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0.0
With the happy proliferation of TDD, test suites are getting massive, and developer efficiency is dwindling
as we wait for our tests to pass. There is a big tradeoff between making unit test more integrationish (and therefore more reliable) vs.
making them very mocky, unity and fast. Mockumentary is a library for the later. It inspects the ActiveRecord universe and
makes a series of AR mockeries that approximate model without hitting the database, or making any assertions. The assertions,
they are still part of the developers job.
Mocumentary has two types of AR mockeries: One is used within the Rails universe. It uses introspection to derive association
and field information. The second is a static copy built from the first. This static version can be used outside the Rails
test universe in a suite faster than the speed of Rails environment load time.
Mocking isn't for everyone, so test-drive responsibly.
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Momento is a fast, simple, pay-as-you-go caching solution.
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0.0
Currency converter gem test
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0.0
Heavily inspired by DDH's ActiveRecord::Enum, this little library is
there to help you cut down the cruft in your models and make
the world a happier place at the same time.
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Activity
0.0
Mongoid Snappy
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0.0
Makes Rails play nice with Montage
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0.0
Downloads Quizzes from Moodle as PDF
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Automatically organize movies, tv shows and home videos.
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Interfaces with Mpayer payment gateway api
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Mreach Common Utils
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0.0
Testing the api
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Moneytrack's gems extensions and monkey patches.
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A ruby gem for multiples streaming video services
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A gem to encrypt and decrypt files with aes-256-cbc.
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Railsesque may to integrate with Musoni systems
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Required dependancy for My-Commerce
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NameFormatter provides advanced name parsing and formatting capabilities,
handling personal names from various cultures, company names, and names
with prefixes and suffixes. It correctly formats particles, preserves
appropriate capitalization, and is Unicode-aware.
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