Project
Reverse Dependencies for bundler
The projects listed here declare bundler as a runtime or development dependency
0.22
Pure Ruby readonly serializers for the JSON:API spec.
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Deploy a middleman built site over rsync, ftp, sftp, or git (e.g. gh-pages on github).
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0.22
re-run the test when the test fails
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NMatrix is a linear algebra library for Ruby, written mostly in C and C++.
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0.22
This is an OmniAuth provider for Atlassian Crowd's REST API. It allows you to easily integrate your Rack application in with Atlassian Crowd.
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0.22
Ruby wrapper for the Pivotal Tracker API
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0.22
Russian language support for Ruby and Rails
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0.22
Sidekiq Batch Jobs Implementation
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0.21
active_admin skin
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0.21
A responsive theme for Active Admin
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Caracal is a pure Ruby Microsoft Word generation library that produces professional quality MSWord documents (docx) using a simple, HTML-style DSL.
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0.21
Code Obscure Tool.You can use it simplely
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0.21
DigitalOcean fog provider gem
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0.21
Use to match path patterns such as gitignore
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0.21
Provides a Sidekiq Server Middleware to clear out RequestStore after each job is processed.
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0.21
RSpec::Wait enables time-resilient expectations in your RSpec test suite.
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0.21
Simple Ruby rate limiting mechanism.
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RubyTree is a Ruby implementation of the generic tree data structure. It
provides simple APIs to store named nodes, and to access, modify, and
traverse the tree.
The data model is node-centric, where nodes in the tree are the primary
structural elements. It supports all common tree-traversal methods (pre-order,
post-order, and breadth first).
RubyTree mixes in the Enumerable and Comparable modules and behaves like a
standard Ruby collection (iteration, comparison, etc.).
RubyTree also includes a binary tree implementation, which provides in-order
node traversal besides the other methods.
RubyTree can import from and export to JSON, and supports Ruby’s object
marshaling.
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0.21
Simple console output formatter for SimpleCov
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0.21
SVMKit is a machine learninig library in Ruby.
SVMKit provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
SVMKit supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Random Forest, K-nearest neighbor algorithm,
K-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization.
Note that the SVMKit has been deprecated and has been renamed to Rumale.
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