Keywords AI

Galileo AI vs HoneyHive

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

Quick Comparison

Galileo AI
Galileo AI
HoneyHive
HoneyHive
CategoryObservability, Prompts & EvalsObservability, Prompts & Evals
PricingFreemiumpaid
Best ForAI teams who need to measure and improve the quality of their LLM outputsEnterprise teams managing prompts and running evals
Websiterungalileo.iohoneyhive.ai
Key Features
  • LLM output quality evaluation
  • Hallucination guardrails
  • RAG evaluation metrics
  • Data-centric AI debugging
  • Automated error detection
  • Prompt management
  • Regression testing
  • SOC 2
  • Annotation queues
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 HoneyHive

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 HoneyHive

Prompt management + regression evals in one platform. SOC 2 compliant with annotation queues.

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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