Project
Reverse Dependencies for concurrent-ruby
The projects listed here declare concurrent-ruby as a runtime or development dependency
0.03
A set of gems declaring Puppet module dependencies.
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0.03
A set of gems declaring Puppet module dependencies.
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0.03
Using the HTTP V2 Api for Snowflake runs queries & creates native Ruby objects.
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0.03
Redis based rate limit and concurrency throttling
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0.03
HTTP support for ROM
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0.03
Hyper simple job workflow engine
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0.03
Atmos provides a terraform scaffold for creating cloud system architectures
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0.03
Reproduce key concepts of Workato SDK, DSL, behavior and constraints.
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0.02
A streamlined, production-focused toolkit for building MCP servers in Rails applications. Provides essential base classes, authentication gateways, and HTTP transport with minimal dependencies.
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0.02
Amplitude Experiment Ruby Server SDK
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0.02
Anycable conformance testing tool
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0.02
Ruby client for auth.aptible.com
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0.02
BreakerMachines is a production-ready circuit breaker implementation for Ruby that prevents
cascade failures in distributed systems. Built on the battle-tested state_machines gem, it
provides a clean DSL, thread-safe operations, multiple storage backends, and comprehensive
introspection tools. Unlike other solutions, BreakerMachines prioritizes safety by avoiding
dangerous forceful timeouts while supporting fallback chains, jitter, and event callbacks.
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0.02
Handcrafted prototypes for Rails.
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0.02
Client SDK for the Clerk
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0.02
Gem containing Elastic connectors service
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0.02
Microservices Development Kit: build your own microservices.
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0.02
Azure Storage output plugin for Fluentd event collector
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0.02
Label-Router helps routing log messages based on their labels and namespace tag in a Kubernetes environment.
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0.02
Gitingest is a powerful command-line tool that fetches files from GitHub repositories and generates consolidated text prompts for AI analysis. It features smart file filtering, concurrent processing, custom exclusion patterns, authentication support, and automatic rate limit handling. Perfect for creating context-rich prompts from codebases for AI assistants, documentation generation, or codebase analysis.
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