REST Client instrumentation adapter for the OpenTelemetry framework

Sidekiq instrumentation adapter for the OpenTelemetry framework

Sinatra instrumentation adapter for the OpenTelemetry framework

Zipkin trace exporter for the OpenTelemetry framework

Resource detection helpers for OpenTelemetry

Baggage Span Processor for the OpenTelemetry framework

AWS resource detector for OpenTelemetry

Container resource detection helpers for OpenTelemetry

Azure resource detection helpers for OpenTelemetry

Google Cloud Platform resource detection helpers for OpenTelemetry

XRay Remote Sampler for the OpenTelemetry framework

A Rails engine for browser-based health probes and uptime monitoring via Prometheus metrics

OpenC3 provides all the functionality needed to send commands to and receive data from one or more embedded systems referred to as "targets". Out of the box functionality includes: Telemetry Display, Telemetry Graphing, Operational and Test Scripting, Command Sending, Logging, and more.

Provides DSPy::Observability, AsyncSpanProcessor, and ObservationType so instrumentation can be enabled independently from the main DSPy gem.

Registers the Langfuse OpenTelemetry exporter with DSPy::Observability so spans flow to Langfuse when the required environment variables are present.

vmpooler provides configurable pools of instantly-available (running) virtual machines

An opinionated web framework build on web standards

Braintrust Ruby SDK for evals, tracing and more.

A small, lightweight and extensible DynDNS server written with Ruby and Rack.

llm.rb is Ruby's most capable AI runtime. It runs on Ruby's standard library by default. loads optional pieces only when needed, and offers a single runtime for providers, agents, tools, skills, MCP, A2A (Agent2Agent), RAG (vector stores & embeddings), streaming, files, and persisted state. As a bonus, llm.rb is also available for mruby. It supports OpenAI, OpenAI-compatible endpoints, Anthropic, Google Gemini, DeepSeek, xAI, Z.ai, AWS Bedrock, Ollama, and llama.cpp. It also includes built-in ActiveRecord and Sequel support, plus concurrent tool execution through threads, tasks (via async gem), fibers, ractors, and fork (via xchan.rb gem).