Project
Reverse Dependencies for faraday
The projects listed here declare faraday as a runtime or development dependency
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Green Button Data is a Ruby gem that can consume Green Button APIs and parse the Green Button data XML schema very quickly. It uses an event-driven SAX parser which parses XML data without building an entire DOM in memory.
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Simple wrapper for the GroupMe v3 API
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Gyazo.com API Wrapper
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Mission Control for your projects and teams
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Ruby client for Hugging Face API
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Inferno Core is an open source tool for testing data exchanges enabled by the FHIR standand
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A Ruby wrapper for the Instagram REST and Search APIs
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See http://www.instapaper.com/api/full
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Intelligence is a lightweight yet powerful Ruby gem that allows you to seamlessly and uniformly interact with large language and vision models (LLM) API's of numerous vendors, including OpenAI, Anthropic, Google, Cerebras, Groq, Hyperbolic, Samba Nova and Together AI. It can be trivially expanded to other OpenAI conformant API providers as well as self hosted models. Intelligence supports text models in streaming and non-streaming mode, vision models, and tool use. Intelligence has minimal dependencies and does not require the vendors ( often bloated ) SDK's.
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Simple wrapper for invoicexpress.com API
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An opinionated Ruby interface to the Zuora API.
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List, find and create Jenkins jobs on a Jenkins CI server
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jeql is a GraphQL plugin for jekyll
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Control JIRA from your terminal
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Stop all builds on the same PR when a new job starts.
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Client library for using Kippt.com API
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Ruby wrapper for the Klaviyo API
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Kontrast is a testing tool that lets you build a frontend test suite to run against your test and production websites. It uses Selenium to take screenshots and ImageMagick to compare them. Kontrast then produces a detailed gallery of its test results.
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Simple wrapper for Layer's Web API's
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Ticketing systems (Github, Jira, etc.) are strongly
integrated into our processes and everyone understands their necessity. As soon
as a developer becomes a lead/technical manager, he or she faces a set of
routine tasks that are related to ticketing work. On large projects this becomes
a problem, more and more you spend time running around on dashboards and
tickets, looking for incorrect deviations in tickets and performing routine
tasks instead of solving technical problems.
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