Project
Reverse Dependencies for rack
The projects listed here declare rack as a runtime or development dependency
0.01
Google Cloud Tasks adapter for ActiveJob
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0.01
ActiveJob adapter for Google Cloud Tasks HTTP targets.
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Activity
0.01
Enable the query_cache for your abstract base class inherited from ActiveRecord::Base
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0.01
Provides connection management for Rack applications using ActiveRecord.
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0.01
Provides a thread-isolated attributes singleton for Rails applications pre v5.2.0.
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0.01
Develop and deploy SMS applications with Ruby
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0.01
A dead simple, yet Rack-compatible, HTTP server written in Ruby
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0.01
A plugin to deal with country selection in Administrate
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0.01
Ruby implementation of the Alchemy micro-service framework
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0.01
Brokers requests for alephant components
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Activity
0.01
alidayu_sms send.
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0.01
A rack middleware for whitelisting and blacklisting IPs
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0.01
This rubygem does not have a description or summary.
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0.01
A framework for building HTTP APIs.
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0.01
A gem that helps you easily handle exceptions in your Ruby on Rails API and
return informative responses to the client by serializing exceptions into JSON
and other popular API formats and returning a response with a status code that
makes sense based on the exception.
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0.01
actually a set of small API-related tools. very much unlike a hammer at all, which is one large tool.
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0.01
Lightweight ruby/rack API reverse proxy or gateway
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Gem for crawling data from external sources
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0.01
Application Insights AutoInstaller for Ruby
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0.01
Arachni is a feature-full, modular, high-performance Ruby framework aimed towards
helping penetration testers and administrators evaluate the security of web applications.
It is smart, it trains itself by monitoring and learning from the web application's
behavior during the scan process and is able to perform meta-analysis using a number of
factors in order to correctly assess the trustworthiness of results and intelligently
identify (or avoid) false-positives.
Unlike other scanners, it takes into account the dynamic nature of web applications,
can detect changes caused while travelling through the paths of a web application’s
cyclomatic complexity and is able to adjust itself accordingly. This way, attack/input
vectors that would otherwise be undetectable by non-humans can be handled seamlessly.
Moreover, due to its integrated browser environment, it can also audit and inspect
client-side code, as well as support highly complicated web applications which make
heavy use of technologies such as JavaScript, HTML5, DOM manipulation and AJAX.
Finally, it is versatile enough to cover a great deal of use cases, ranging from
a simple command line scanner utility, to a global high performance grid of
scanners, to a Ruby library allowing for scripted audits, to a multi-user
multi-scan web collaboration platform.
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Activity