AgentOps vs Arize Phoenix

Pick two tools from the same category to compare side-by-side.

	AgentOps Python SDK and hosted platform for monitoring, debugging, and cost-tracking AI agents.	Arize Phoenix Open-source LLM tracing and evaluation platform from Arize AI, built on OpenTelemetry.
Category	observability	observability
Vendor type	hybrid	hybrid
Pricing	freemium	freemium
Strengths	+ Session replays and execution graphs purpose-built for agent debugging + Broad agent-framework integrations (CrewAI, AG2, OpenAI Agents SDK, LangChain) + LLM cost tracking across foundation model providers + MIT-licensed SDK with low-code decorator instrumentation	+ OpenTelemetry-based instrumentation works across frameworks and providers + Built-in evals, datasets, and experiments alongside tracing + Self-hostable via pip, Docker, or Helm in addition to hosted cloud + Prompt playground for replaying and comparing traced LLM calls
Tradeoffs	− Dashboard is a hosted closed-source service, so traces leave your infrastructure − Smaller ecosystem and community than general LLM observability platforms	− Elastic License 2.0 (ELv2) restricts offering Phoenix itself as a managed service − Self-hosting means operating and scaling the collector and storage yourself − Advanced enterprise monitoring features live in the separate commercial Arize platform
Used in stacks	0	0