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Laminar vs Arize Phoenix

LaminarArize Phoenix

Bottom line: Laminar for agent developers; Arize Phoenix for engineers debugging LLM and agent apps.

LaminarLaminar

Open-source, OpenTelemetry-native observability and evals built for AI agents

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Arize PhoenixArize Phoenix

Open-source LLM and agent observability built on OpenTelemetry.

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Votes00
PricingFreemiumFreemium
CategoryLlm ObservabilityLlm Observability
Tags
llm-observabilityagent-tracingopentelemetryevalsopen-source
observabilityllm-evaluationopen-sourcetracingmonitoring
Best for
  • Agent developers
  • LLM app engineers
  • Teams needing evals plus tracing
  • Engineers debugging LLM and agent apps
  • Teams wanting free, self-hosted observability
  • Eval-driven development workflows
Pros
  • Open source under Apache 2.0
  • OpenTelemetry-native, one-line tracing
  • Fast Rust implementation
  • Plain-English Signals for agent behaviors
  • Built-in evals SDK and CLI
  • Free and source-available, self-hosts in one command
  • Built on open OpenTelemetry standards
  • Strong tracing and evaluation for agents and RAG
  • Works locally, good for private/dev-time debugging
  • Backed by Arize's observability expertise
Cons
  • Younger and smaller than major competitors
  • Ecosystem and integrations still growing
  • Free tier has short retention
  • Best suited to agent-heavy use cases
  • Requires OpenTelemetry familiarity for advanced use
  • Production-scale features require paid Arize AX
  • Self-hosting means you run the infrastructure
  • Dynatrace acquisition may change roadmap/governance
  • Observability setup still requires instrumentation effort
  • Evaluation quality depends on judge models and config

Comparison generated from each tool's listing. Add or remove tools above to change it.