AI Models & Local Execution (12)

12 free LLM evaluation and observability tools and 0 more — pricing tier and real capabilities on every entry. No ads, no sponsored placement.

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

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

Promptfoo

LLM Eval & Observability
freemium
  • Open-source CLI/library for evaluating prompts, models and RAG pipelines side by side, runs in CI
  • Automated red-teaming to surface prompt injection, jailbreak and data-leak vulnerabilities
  • 300,000+ user community with an enterprise tier for teams needing hosted guardrails

W&B Weave

LLM Eval & Observability
freemium
  • Agent-native tracing model with sessions, steps, tools and sub-agents as first-class concepts (not generic spans)
  • Pre-built safety/quality scorers for toxicity, bias, PII and hallucination detection out of the box
  • Built on Weights & Biases' existing ML-experiment infrastructure, useful for teams already on W&B

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

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

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

Opik (Comet)

LLM Eval & Observability
freemiumNew
  • Open-source LLM tracing, evaluation and prompt-optimization platform (Apache-2.0)
  • Free cloud plan with 25k spans a month, up to 10 team members and 60-day retention
  • Self-host with no limits

LangSmith

LLM Eval & Observability
freemiumNew
  • Tracing, evaluation datasets and prompt playground for LLM apps and agents
  • Developer plan is free with 5k base traces a month and one seat
  • Framework-agnostic, works beyond LangChain

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

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

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

LLM Eval & Observability — straight answers

What are the best free LLM evaluation and observability tools?

Flocci AI Tools lists 12 LLM evaluation and observability tools, ordered free tiers first: Arize Phoenix, Google Stax, Laminar, DeepEval and EleutherAI LM Evaluation Harness. All of them are free or have a free tier. Every entry states what it uniquely does, not a score.

Are there completely free LLM evaluation and observability tools?

Yes — 6 of these are marked fully free with no paid plan attached: Arize Phoenix, Google Stax, Laminar, DeepEval and EleutherAI LM Evaluation Harness. The rest are freemium, trial or paid, and each row states which.

What should I look for in LLM evaluation and observability tools?

Start with what you need to do: trace, score and debug what your AI app actually did. Then check the pricing tier, because "free" here means no paid plan at all while "freemium" means a free tier under paid plans. Every tool on this page lists both.

See the full list →

Head-to-head comparisons

Free alternatives

Looking for a ranked shortlist instead? See the best free LLM evaluation and observability tools.