Project
Reverse Dependencies for typhoeus
The projects listed here declare typhoeus as a runtime or development dependency
0.02
An HTTP framework for micro-services based environment, build on top of Typheous and Service Jynx
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Activity
0.02
SCORM Cloud API V2 Client
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Activity
0.02
Sniffles helps you detect which popular CMS, analytics, and advertising platforms a website is running.
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0.02
This gem maps to the Sunshine Conversations API
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0.02
Jenkins API clients generated from Swagger / Open API specification
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0.02
An outrageous Riot Games LoL API Client
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0.02
Ruby API Wrapper for TheGamesDB.net
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0.02
Very Good Security API Client library. More details on https://www.verygoodsecurity.com/
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0.02
Ruby SDK for Voucherify. More info on http://www.voucherify.io
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0.02
web is a library for caching HTTP responses
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0.02
Write realistic scenarios to test the load of a web application.
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0.02
Provides high-performance access to historic stock data from Yahoo! Finance
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0.01
A Ruby REST only client library for ably.io realtime messaging
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0.01
Amazon Device Messaging Gem
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0.01
Ruby client library for integrating with Affirm financing payments
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0.01
Ruby interface to the AMEE carbon calculator
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0.01
A ruby client for the amiando REST API with parallel requests in mind
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0.01
API model is a simple wrapper for interacting with external APIs. It tries to make it very simple and easy to make API calls and map the responses into objects.
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0.01
This gem provides an easy way to authenticate and interact with Apple's Device Enrollment Program
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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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