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Arize Phoenix vs LlamaIndex

Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.

A

Arize Phoenix

Open-source LLM observability with tracing, evaluation, and datasets — 8K+ stars

OSSfreemium Trending
8.5K250.0K/w4d ago120
L

LlamaIndex

Data framework for LLM applications — RAG, agents, and workflows — 47K+ stars

OSSFree
48.2Ktoday474
MetricArize PhoenixLlamaIndex
GitHub Stars8.5K48.2K
Contributors120474
Last CommitMar 28, 2026Mar 31, 2026
Open Issues262
Licenseopen-sourceopen-source
Pricingfreemiumopen-source
Free TierYesYes
Categorydev-toolsdev-tools
TrendingYesNo

Shared Tags

open-source

Only in Arize Phoenix

observabilitytracingevaluationopentelemetrydebugging

Only in LlamaIndex

ragdata-frameworkagentsworkflowspython

About Arize Phoenix

Arize Phoenix is an open-source observability platform for LLM applications. It provides tracing for multi-step agent workflows, built-in evaluation with LLM-as-judge and code-based evals, dataset management for experiments, and a visual UI for debugging prompt/response pairs. Phoenix integrates with OpenTelemetry, LangChain, LlamaIndex, and OpenAI, and can run locally or in the cloud.

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About LlamaIndex

LlamaIndex is the leading data framework for building LLM-powered applications. Provides data connectors for 160+ sources, advanced RAG pipelines, document agents, and a workflow engine for complex agentic applications. The standard for connecting LLMs to your data.

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