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RAGAS vs Arize Phoenix

Side-by-side comparison of features, pricing, and ratings

RAGAS
RAGAS

LLM evaluation library for systematic eval loops.

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Arize Phoenix
Arize Phoenix

Open-source AI agent observability and evaluation platform.

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Pricing
Free
Freemium
Plans
Free
Contact for pricing
Popularity
4.4k views
7.3k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPICLI
WebAPICLI
Categories
💻 Code & Development📊 Data & Analytics🔬 Research & Education
💻 Code & Development📊 Data & Analytics
Features
LLM-driven evaluation metrics
Experiments-first workflow
Custom metric creation with decorators
Automatic test set generation for RAG & agents
Built-in dataset management and caching
Multi-turn conversation evaluation
Integration with LangChain, LlamaIndex, Haystack
Support for Amazon Bedrock, Google Gemini
Code-based evaluation via CLI
Prompt evaluation and optimization guides
Synthetic data generation (single-hop, multi-hop, persona)
Cost analysis for evaluation runs
Agent tracing with prompts, retrievals, tool calls, outputs
LLM-as-judge evaluation and human annotation
Dataset creation from traces for experiments
Prompt IDE for iterative prompt optimization
Hypothesis testing with benchmarked experiments
Cost, latency, and performance scoring
Self-hosted deployment (local, Docker, Kubernetes)
Cloud-based free instances with no infrastructure setup
OpenTelemetry native support
Vendor-agnostic: works with any model/framework/language
Open-source (ELv2) with community contributions
9k+ GitHub stars and 2.5M+ monthly downloads
Integrations
LangChain
LlamaIndex
Haystack
AG-UI
Griptape
LangGraph
R2R
Swarm
Amazon Bedrock
Google Gemini
OCI Gen AI
Arize
LangSmith
LlamaStack
OpenTelemetry