# AgentOps vs Arize Phoenix — Fit & Features

Canonical: https://trutool.co/compare/agentops-vs-arize-phoenix
Author: Snehil (https://trutool.co/authors/snehil)

Compare AgentOps and Arize Phoenix by use case, features, limitations, and evaluation questions.

## Compare fit, features, and limitations

### AgentOps
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI.
Best fit: People and teams evaluating ai evaluation & observability for a specific workflow.
- Core product workflow
Before you choose: Test a representative task, inspect outputs, and confirm integrations, permissions, data handling, licensing, and current costs.
Pricing: https://github.com/pricing
- [Read AgentOps profile](https://trutool.co/tools/agentops): Read AgentOps profile

### Arize Phoenix
Debug and evaluate AI applications using open-source tracing and observability.
Best fit: AI engineers testing agent quality and monitoring production behavior.
- LLM tracing
- AI evaluation
- Dataset experiments
Before you choose: Use representative test cases and inspect evaluator failures. Check trace retention, sensitive-data handling, and usage costs.
Pricing: https://arize.com/pricing/
- [Read Arize Phoenix profile](https://trutool.co/tools/arize-phoenix): Read Arize Phoenix profile