Project
Reverse Dependencies for yard
The projects listed here declare yard as a runtime or development dependency
0.02
rack-ecg allows you to serve a page that shows you facts about your deployed
app to allow you to check that everything is running as it should: git
revision, database migrations, and more
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Provides a variety of classes useful for security testing and exploit development.
2019
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Relational db to ActiveREcord models MAPper
2019
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Simple language recognition tool for Ruby based on packrat parsing
2019
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Ruby gem for accessing the Ravelry API painlessly, easily, and awesomely.
2019
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Arista eAPI Ruby Library
2019
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Rbplotly, a Ruby visualization library, allows you to create interactive plots.
2019
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A Ruby API providing parsing, generation and validation of CAP(Common Alerting Protocol) messages.
2019
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A gem extending RDF.rb with SPARQL dataset construction semantics.
2019
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RDF.rb extension for graph bijections and isomorphic equivalence.
2019
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RDF.rb extension for parsing/serializing RDF/JSON data.
2019
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RDF.rb plugin for parsing/serializing NTriples, RDF/XML, Turtle and RDFa data using the Raptor RDF Parser library.
2019
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Reasons over RDFS/OWL vocabularies to generate statements which are entailed based on base RDFS/OWL rules along with vocabulary information. It can also be used to ask specific questions, such as if a given object is consistent with the vocabulary ruleset. This can be used to implement SPARQL Ent...
2019
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RDF.rb plugin providing a Sesame 2.0 storage adapter.
2019
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RDF.rb extension that provides RSpec matchers and shared examples for RDF objects.
2019
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RDF::Tabular processes tabular data with metadata creating RDF or JSON output.
2019
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RDF::TriG is an TriG reader/writer for the RDF.rb library suite.
2019
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RDF.rb extension for parsing/serializing TriX data.
2019
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Adds RDF::Literal subclasses for extended XSD datatypes with methods for many XPath and XQuery functions.
2019
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Red Colors provides a wide array of features for dealing with colors. This includes conversion between colorspaces, desaturation, and parsing colors.
2019
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