Google Stax vs OpenLLMetry (Traceloop)

Google Stax 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.

Google Stax vs OpenLLMetry (Traceloop) — straight answers

Google Stax vs OpenLLMetry (Traceloop): what is the difference?

Google Stax is free, with no paid plan attached and is listed for build evals with human raters or LLM autoraters on your own data. 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 Google Stax or OpenLLMetry (Traceloop) cheaper to start with?

Neither — Google Stax 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, Google Stax or OpenLLMetry (Traceloop)?

Choose Google Stax if you need build evals with human raters or LLM autoraters on your own data; 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.

Google Stax compared with OpenLLMetry (Traceloop): pricing tier, category, listed capabilities and links.
 Google StaxOpenLLMetry (Traceloop)
Pricing tierFreeFree
Free to startYesYes
CategoryAI Models & Local ExecutionAI Models & Local Execution
TypeLLM Eval & ObservabilityLLM Eval & Observability
Listed capabilities
  • 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
  • OpenTelemetry-based instrumentation for LLM calls, vector DBs and frameworks
  • Ships traces to Datadog, Grafana, Honeycomb or any OTel backend
  • Apache-2.0
Tagsgoogle stax, llm evaluation tool, free prompt evaluation, llm as judge autoraters, compare llm promptsopenllmetry, opentelemetry llm, traceloop, llm observability open source, otel ai tracing
Websitestax.withgoogle.comgithub.com
Full pageGoogle Stax details →OpenLLMetry (Traceloop) details →
AlternativesGoogle Stax alternatives →OpenLLMetry (Traceloop) alternatives →

Arize Phoenix

LLM Eval & Observability
free
  • 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

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

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