Arize Phoenix vs OpenLLMetry (Traceloop)

Arize Phoenix is free, with no paid plan attached. OpenLLMetry (Traceloop) is free, with no paid plan attached. Both are listed under LLM Eval & Observability, so this is a like-for-like comparison. Neither is ranked above the other — Flocci carries no sponsored placement.

Arize Phoenix vs OpenLLMetry (Traceloop) — straight answers

Arize Phoenix vs OpenLLMetry (Traceloop): what is the difference?

Arize Phoenix is free, with no paid plan attached and is listed for fully open-source, self-hostable with zero setup via `uvx` (pip/conda also supported). OpenLLMetry (Traceloop) is free, with no paid plan attached and is listed for openTelemetry-based instrumentation for LLM calls, vector DBs and frameworks. Both sit in LLM Eval & Observability.

Is Arize Phoenix or OpenLLMetry (Traceloop) cheaper to start with?

Neither — Arize Phoenix and OpenLLMetry (Traceloop) are both free, so the choice comes down to capability rather than cost. Both entries list what they uniquely do above.

Which should I choose, Arize Phoenix or OpenLLMetry (Traceloop)?

Choose Arize Phoenix if you need fully open-source, self-hostable with zero setup via `uvx` (pip/conda also supported); choose OpenLLMetry (Traceloop) if you need openTelemetry-based instrumentation for LLM calls, vector DBs and frameworks. Flocci AI Tools does not rank one above the other — it shows both feature sets side by side and lets the requirement decide.

Arize Phoenix compared with OpenLLMetry (Traceloop): pricing tier, category, listed capabilities and links.
 Arize PhoenixOpenLLMetry (Traceloop)
Pricing tierFreeFree
Free to startYesYes
CategoryAI Models & Local ExecutionAI Models & Local Execution
TypeLLM Eval & ObservabilityLLM Eval & Observability
Listed capabilities
  • Fully open-source, self-hostable with zero setup via `uvx` (pip/conda also supported)
  • Combines tracing, evals, datasets, experiments and prompt playground in one local-first tool
  • AI engineering agent (PXI) built in for automated troubleshooting of traces
  • OpenTelemetry-based instrumentation for LLM calls, vector DBs and frameworks
  • Ships traces to Datadog, Grafana, Honeycomb or any OTel backend
  • Apache-2.0
Tagsarize phoenix, llm observability open source, tracing, evaluation, rag debugging, freeopenllmetry, opentelemetry llm, traceloop, llm observability open source, otel ai tracing
Websitephoenix.arize.comgithub.com
Full pageArize Phoenix details →OpenLLMetry (Traceloop) details →
AlternativesArize Phoenix alternatives →OpenLLMetry (Traceloop) alternatives →

DeepEval

LLM Eval & Observability
freeNew
  • Open-source LLM evaluation framework with pytest-style tests and 50+ metrics
  • RAG, agent and conversational metrics; red-teaming module
  • Apache-2.0; optional Confident AI cloud has a free tier

EleutherAI LM Evaluation Harness

LLM Eval & Observability
freeNew
  • Standard open framework for running hundreds of benchmarks (MMLU, GSM8K and more) against any LLM
  • Backs the Hugging Face Open LLM evaluations
  • MIT licensed CLI and Python library

Google Stax

LLM Eval & Observability
freeNew
  • Build evals with human raters or LLM autoraters on your own data
  • Compare models and prompts on quality, latency and token cost
  • Prebuilt and custom evaluators

Laminar

LLM Eval & Observability
freeNew
  • Open-source observability and evals platform for AI agents (Apache-2.0)
  • Traces, session replay for browser agents and evaluations
  • Self-hostable

Braintrust

LLM Eval & Observability
freemium
  • Free Starter plan ships model credits and scored evals with no card required
  • Unlimited users/projects/datasets/playgrounds even on the free tier
  • Built-in playground for side-by-side prompt/model comparison against production traces

Langfuse

LLM Eval & Observability
freemium
  • Fully open-source and self-hostable for free via Docker Compose/Kubernetes, not just a hosted SaaS
  • Hobby cloud plan is free with no credit card, 50k observability units/month
  • Combines tracing, prompt management, evals and datasets in one open platform