Arize Phoenix
6.3#10 in machine learning model monitoring softwareFree planFree planWebAPISelf-hosted
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| Fact | Arize Phoenix | Opik |
|---|---|---|
| Integrations | Documented integrations include frameworks and providers such as LlamaIndex, LangChain, DSPy, OpenAI, Bedrock, and Anthropic. | The integration catalog covers TypeScript, Python, Java, .NET and Ruby ecosystems plus no-code tools and OpenTelemetry. |
| License | The Phoenix page describes the project as ELv2 licensed. | The repository and full platform are released under the Apache-2.0 license. |
| Purpose | Phoenix helps teams trace, evaluate, debug, and improve AI applications. | Opik logs agent actions and provides automated evaluation workflows to find and fix errors across development, testing, and production. |
| Support | The Phoenix documentation points users to a Slack community for questions and developer discussion. | The pricing page lists community and self-service support across plans, email support for Pro and Enterprise, and dedicated support and SLAs for Enterprise. |
| Tracing | It captures model calls, retrieval, tool use, and custom logic in traces that can be sent over OpenTelemetry. | The platform captures and visualizes multi-step agent execution, including LLM calls, tools and retrieval steps. |
Phoenix suits teams building AI applications who need to inspect traces, evaluate outputs, and compare application versions. It offers local and self-hosted deployment for teams managing their own trace data.
Opik is for teams building LLM applications or agents that need tracing, evaluation, and production monitoring. Its free plans are described as suitable for development and testing.