Project
Reverse Dependencies for minitest
The projects listed here declare minitest as a runtime or development dependency
0.0
neco provides an elegant interface for commands.
You can validate input, handle errors and compose multiple commands with rollback.
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Activity
0.0
Find the optimal alignment of two sequences of Ruby Objects.
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0.0
needy_debugger is a less needy (or more if needs be), fast
implementation of the standard Ruby debugger debug.rb.
It is implemented by utilizing a new Ruby C API hook. The core component
provides support that front-ends can build on. It provides breakpoint
handling, bindings for stack frames among other things.
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Activity
0.0
A gem interface for the neetoMonitor API
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Activity
0.0
add methods such as not_nil?, not_blank?, not_empty?
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0.0
Simple DCI
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Activity
0.0
API client for NeonMob.com
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Activity
0.0
A gem that extracts the styling and theming components from my Rails applications for reuse across multiple projects
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Activity
0.0
Some Rails helpers
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Activity
0.0
NeotelisPay.
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0.0
This gem is a simple binding to the EC2 API. It has specific extensions to allow extra functionality provided by OpenStack.
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Activity
0.0
Gem for interacting with the Tenable Nessus 6 REST API.
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0.0
Quickly add serialized, nested hash accessors in ActiveRecord model objects
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Activity
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Simple, static, nested config
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Activity
0.0
Removes the key from nested hashes and from nested array of hashes
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0.0
This gem eases your life in dealing with nested Hashes While building Rails apps.
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0.0
Convert nested OpenStruct to Hash
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0.0
ActiveRecord improved select on nested models, allows partial instantiation on nested models, easy one step improvements on performance and memory
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Activity
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Make simple the use of nested_attributes with strong_parameters
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0.0
DEPRECATED PROJECT. MIGRATED TO PYTHON: https://github.com/seoanezonjic/NetAnalyzer. NetAnalyzer is a useful network analysis tool developed in Ruby that can 1) analyse any type of unweighted network, regardless of the number of layers, 2) calculate the relationship between different layers, using various association indices (Jaccard, Simpson, PCC, geometric, cosine and hypergeometric) and 3) validate the results
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