DeepEval vs Google Stax

DeepEval is free, with no paid plan attached. Google Stax 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.

DeepEval vs Google Stax — straight answers

DeepEval vs Google Stax: what is the difference?

DeepEval is free, with no paid plan attached and is listed for open-source LLM evaluation framework with pytest-style tests and 50+ metrics. 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. Both sit in LLM Eval & Observability.

Is DeepEval or Google Stax cheaper to start with?

Neither — DeepEval and Google Stax 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, DeepEval or Google Stax?

Choose DeepEval if you need open-source LLM evaluation framework with pytest-style tests and 50+ metrics; choose Google Stax if you need build evals with human raters or LLM autoraters on your own data. Flocci AI Tools does not rank one above the other — it shows both feature sets side by side and lets the requirement decide.

DeepEval compared with Google Stax: pricing tier, category, listed capabilities and links.
 DeepEvalGoogle Stax
Pricing tierFreeFree
Free to startYesYes
CategoryAI Models & Local ExecutionAI Models & Local Execution
TypeLLM Eval & ObservabilityLLM Eval & Observability
Listed capabilities
  • 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
  • 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
Tagsdeepeval, llm evaluation framework, pytest for llm, rag evaluation, confident aigoogle stax, llm evaluation tool, free prompt evaluation, llm as judge autoraters, compare llm prompts
Websitegithub.comstax.withgoogle.com
Full pageDeepEval details →Google Stax details →
AlternativesDeepEval alternatives →Google Stax 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

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

OpenLLMetry (Traceloop)

LLM Eval & Observability
freeNew
  • OpenTelemetry-based instrumentation for LLM calls, vector DBs and frameworks
  • Ships traces to Datadog, Grafana, Honeycomb or any OTel backend
  • Apache-2.0

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