Keywords AI
Arize AI vs Traceloop
Compare Arize AI and Traceloop side by side. Both are tools in the Observability, Prompts & Evals category.
Quick Comparison
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Pricing | Freemium | open-source |
| Best For | ML teams who need comprehensive observability spanning traditional ML models and LLM applications | Teams already using Datadog/Splunk wanting LLM observability |
| Website | arize.com | traceloop.com |
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When to Choose Arize AI vs Traceloop
- Production ML and LLM monitoring
- Embedding quality monitoring
- Model performance tracking
About Arize AI
Arize AI provides an ML and LLM observability platform for monitoring model performance in production. For LLM applications, Arize offers trace visualization, prompt analysis, embedding drift detection, and retrieval evaluation. Their open-source Phoenix library provides local tracing and evaluation. Arize helps teams identify quality issues, debug failures, and continuously improve AI system performance.
About Traceloop
The OpenTelemetry standard for AI. Pipes LLM telemetry into Datadog, Splunk, or any OTel backend.
What is Observability, Prompts & Evals?
Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.
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