Keywords AI

Humanloop vs Ragas

Compare Humanloop and Ragas side by side. Both are tools in the Observability, Prompts & Evals category.

Quick Comparison

	Humanloop	Ragas
Category	Observability, Prompts & Evals	Observability, Prompts & Evals
Pricing	—	Open Source
Best For	—	Developers building RAG applications who need specialized evaluation metrics
Website	humanloop.com	ragas.io
Key Features	—	RAG-specific evaluation framework Component-wise metrics for RAG Synthetic test data generation LLM-as-judge evaluators Open-source Python library
Use Cases	—	Evaluating RAG pipeline quality end-to-end Measuring retrieval precision and recall Testing faithfulness and answer relevance Generating synthetic evaluation datasets Benchmarking RAG across configurations

When to Choose Humanloop vs Ragas

Choose Ragas if you need

Evaluating RAG pipeline quality end-to-end
Measuring retrieval precision and recall
Testing faithfulness and answer relevance

Pricing: Open Source

About Humanloop

Humanloop is a prompt engineering and evaluation platform that helps teams manage, version, and optimize LLM prompts. It provides prompt playgrounds, A/B testing, human feedback collection, and evaluation pipelines. Teams can track prompt performance across models and deploy optimized prompts to production.

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About Ragas

Ragas is an open-source evaluation framework specifically designed for RAG (Retrieval-Augmented Generation) pipelines. It provides metrics for context precision, context recall, faithfulness, and answer relevancy, helping teams measure and improve the quality of their RAG systems. Ragas has become the standard evaluation toolkit for teams building production RAG applications.

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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.

Browse all Observability, Prompts & Evals tools →