Keywords AI

Galileo AI vs Traceloop

Compare Galileo AI and Traceloop side by side. Both are tools in the Observability, Prompts & Evals category.

Quick Comparison

Galileo AI
Galileo AI
Traceloop
Traceloop
CategoryObservability, Prompts & EvalsObservability, Prompts & Evals
PricingFreemiumopen-source
Best ForAI teams who need to measure and improve the quality of their LLM outputsTeams already using Datadog/Splunk wanting LLM observability
Websiterungalileo.iotraceloop.com
Key Features
  • LLM output quality evaluation
  • Hallucination guardrails
  • RAG evaluation metrics
  • Data-centric AI debugging
  • Automated error detection
  • OpenTelemetry
  • OpenLLMetry
  • Vendor-neutral
  • OTel integration
Use Cases
  • Monitoring LLM output quality
  • Detecting and preventing hallucinations
  • Evaluating RAG pipeline accuracy
  • Debugging data quality issues
  • Continuous quality assurance

When to Choose Galileo AI vs Traceloop

Galileo AI
Choose Galileo AI if you need
  • Monitoring LLM output quality
  • Detecting and preventing hallucinations
  • Evaluating RAG pipeline accuracy
Pricing: Freemium

About Galileo AI

Galileo is a data intelligence platform for AI that helps teams evaluate, debug, and improve LLM applications. It provides metrics for hallucination detection, context adherence, chunk quality, and response completeness. Galileo's guardrails can be deployed in production to catch quality issues in real-time.

About Traceloop

The OpenTelemetry standard for AI. Pipes LLM telemetry into Datadog, Splunk, or any OTel backend.

What is Observability, Prompts & Evals?

Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.

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