Project

Reverse Dependencies for logger

The projects listed here declare logger as a runtime or development dependency

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No commit activity in last 3 years
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RabbitMq Trace Logger - Listen to multiple RabbitMq instances and log them to a single location or MongoDb database.
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Transcription support for Rabbit presentation tool.
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Detects race conditions in Ruby/Rails apps via static and runtime analysis, with an extensible API.
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Somewhat more radical filters designed to decimate malicious requests during a denial-of-service (DoS) attack by chopping their connection well before your Rack app wastes any significant resources on them – ouch! The filters have been proven to work against certain DoS attacks, however, they mi...
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Verifies JWT signatures against a JWKS endpoint, a PEM URL, a static key or (opt-in) a shared HMAC secret; enforces exp/nbf/iss/aud, scopes and optional jti replay protection; caches key material, handles key rotation, and exposes the verified claims to the application through the Rack environmen...
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REST client for the RAIL0 stablecoin payment API. Wraps the authorize → capture → refund lifecycle with full type documentation, retry support, pluggable logging, and optional off-chain EIP-3009 signing.
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RailsDiscordNotifier captures unhandled exceptions in your Rails application and sends detailed, redacted error reports to a Discord channel or a Google Chat space using an incoming webhook.
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RailsMaint is a gem that helps you enable maintenance mode for your Rails application with customizable options and IP whitelisting.
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A common set of build tasks typically used when creating projects in .Net
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A backend-agnostic event distribution layer for Rails SSE: a single listener thread per process receives events from a pub/sub backend (Postgres LISTEN/NOTIFY, Redis Pub/Sub, etc.) and fans them out to per-connection bounded queues.
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A batteries-included Jekyll framework and CLI
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RCrewAI is a powerful Ruby framework for creating autonomous AI agent crews that collaborate to solve complex tasks. Build intelligent workflows with reasoning agents, tool usage, memory systems, and human oversight. Key Features: • Multi-Agent Orchestration: Create crews of specialized AI agent...
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